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The Federal Emergency Management Agency (FEMA)
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The Federal Emergency Management Agency is an agency of the United States Department of Homeland Security

Available DatasetsShowing 2159 of 2159 results
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  • Illinois Tornado Aerials Swipe Map
    This is a swipe map showing before and after the damage. Use the slider to swipe back and forth. The imagery posted on this site is of the Tornado Damage from 20150409. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from a nominal altitude of 5000 feet, using a Trimble Digital Sensor System (DSS).Purpose: This imagery was acquired by the NOAA Remote Sensing Division to support NOAA national security and emergency response requirements. This rapid response product was generated for use by emergency managers for visual analysis of damage in the area. It is not intended for mapping, charting or navigation. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery.Supplemental Information: The ground sample distance (GSD) for each pixel is 25 cm. Image file size is between 1 MB and 10 MB. In an effort to acquire imagery in a timely manner after the event, clouds may be present in the imagery. Be advised that the Bounding Coordinates reflect the extents of the images acquired for this event and do not imply full image coverage of the area.
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  • Major Earthquakes
    Most intense, most fatal and most damaging global earthquakes from 2150 BCE to present. This layer represents earthquakes with at least one of the following criteria: Magnitude 8.5 or greater Modified Mercalli Intensity XI or XII 1,001 or more fatalities $25 million or more in damage Data source: National Geophysical Data Center / World Data Service (NGDC/WDS): Significant Earthquake Database. National Geophysical Data Center, NOAA. doi:10.7289/V5TD9V7K
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  • North Dakota Flood Plains
    Flood Plains data for North Dakota was merged into a single shapefile including 100, and 200-year data
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  • CT Hurricane Evacuation Zones 2014
    Data included in this map service is part of the CT Environmental Conditions Online (CTECO) website. CT ECO is the collaborative work of the Connecticut Department of Energy and Environmental Protection (DEEP) and the University of Connecticut Center for Land Use Education and Research (CLEAR) to share environmental and natural resource information with the general public. Hurricane evacuation zones are based on the 2012 Hurricane Surge Inundation (SLOSH) zones. The evacuation zones were created from the intersection of the 2010 census blocks and the SLOSH zones. They were then trimmed by USACE using input from the coastal towns. Final edits were done by USACE in May, 2014.Detailed information about these and other Connecticut data sets is available on the CT ECO website in the form of Metadata. 
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  • NOAA Imagery Swipe Tool - Maria
    This imagery was acquired by the NOAA Remote Sensing Division to support NOAA homeland security and emergency response requirements. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery. Individual images have been combined into a larger mosaic and tiled for distribution. The approximate ground sample distance (GSD) for each pixel is ~25 cm / zoom level 19. https://storms.ngs.noaa.gov/storms/maria/index.html
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  • Puerto Rican Hospitals
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  • CAP Image Reviews Dashboard
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  • ATSDR Hazardous Waste Sites on National Priorities List (NPL)
    ATSDR Hazardous Waste Sites on National Priorities List (NPL) represents georeferenced data for 1,572 NPL Superfund sites. The purpose is to provide an easily accessible data set of polygons for hazardous waste sites in the United States which can be used to identify nearby populations and assess their potential risk. Dataset SummaryThe Agency for Toxic Substances and Disease Registry (ATSDR) Hazardous Waste Sites on National Priorities List (NPL) is a database providing georeferenced data for 1,572 National Priorities List (NPL) Superfund sites. These were selected from the larger set of the ATSDR Hazardous Waste Site Polygon Data, Version 2 data set with polygons from May 26, 2010. The modified data set contains only sites that have been proposed, currently on, or deleted from the final NPL as of October 25, 2013. Of the 2,080 ATSDR polygons from 2010, 1,575 were NPL sites but three sites were excluded—two in the Virgin Islands and one in Guam. This data set is modified by the Columbia University Center for International Earth Science Information Network (CIESIN). This layer includes selected attributes for these NPL sites provided in the ATSDR GRASP Hazardous Waste Site Polygon database and selected attributes from the EPA List 9 Active CERCLIS sites and SCAP 12 NPL sites databases. These polygons represent sites considered for cleanup under the Comprehensive Environmental Response, Compensation and Liability Act (CERCLA or Superfund). The Geospatial Research, Analysis, and Services Program (GRASP, Division of Health Studies, Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention) has created site boundary data using the best available information for those sites where health assessments or consultations have been requested.Recommended CitationAgency for Toxic Substances and Disease Registry - ATSDR, National Institute for Environmental Health Sciences Columbia University Superfund Research Program - NIEHS CU SRP, and Center for International Earth Science Information Network - CIESIN - Columbia University. 2014. ATSDR Hazardous Waste Site Polygon Data with CIESIN Modifications, Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4DF6P5Z. Accessed DAY MONTH YEAR.
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  • Carr Fire Imagery
    This app features 360-degree imagery courtesy of Hangar Technology. You can click and drag each image to pan around the map.Use the arrows to the right to scroll between all locations. Scroll vertically on mobile to see all locations.Aerial photos were collected as part of a multi agency collaboration.  Licensed UAV pilots from Menlo Park Fire District, Alameda County Sheriff, Contra Costa Sheriff, and other agencies assisted the City in capturing the aerial photos. Imagery captured on August 4th and 5th.
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  • Recent CAP Images
    Images displayed are from current events.
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  • Michael Imagery
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  • Hawaii Storm Surge Inundation SLOSH MOMs
    The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-4), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms for Hawaii. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and USVI. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-4 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
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  • Puerto Rico and US Virgin Islands Storm Surge Inundation SLOSH MOMs
    The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
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  • Landslide Risk
    This dataset depicts low, medium, and high landslide hazard zones for the island of Tutuila, American Samoa. The data was digitized from a mosaic of scanned paper maps produced in conjunction with a Landslide Mitigation Study for Tutuila Island by the U.S. Department of Agriculture/Soil Conservation Service (USDA/SCS) for the American Samoa Coastal Management Program on October 30, 1990.
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  • Multiple Hazard Index for United States Counties
    OverviewThe multiple hazard index for the United States Counties was designed to map natural hazard relating to exposure to multiple natural disasters. The index was created to provide communities and public health officials with an overview of the risks that are prominent in their county, and to facilitate the comparison of hazard level between counties. Most existing hazard maps focus on a single disaster type. By creating a measure that aggregates the hazard from individual disasters, the increased hazard that results from exposure to multiple natural disasters can be better understood. The multiple hazard index represents the aggregate of hazard from eleven individual disasters. Layers displaying the hazard from each individual disaster are also included. The hazard index is displayed visually as a choropleth map, with the color blue representing areas with less hazard and red representing areas with higher hazard. Users can click on each county to view its hazard index value, and the level of hazard for each individual disaster. Layers describing the relative level of hazard from each individual disaster are also available as choropleth maps with red areas representing high, orange representing medium, and yellow representing low levels of hazard.Methodology and Data CitationsMultiple Hazard Index The multiple hazard index was created by coding the individual hazard classifications and summing the coded values for each United States County. Each individual hazard is weighted equally in the multiple hazard index. Alaska and Hawaii were excluded from analysis because one third of individual hazard datasets only describe the coterminous United States. Avalanche Hazard University of South Carolina Hazards and Vulnerability Research Institute. “Spatial Hazard Events and Losses Database”. United States Counties. “Avalanches United States 2001-2009”. < http://hvri.geog.sc.edu/SHELDUS/ > Downloaded 06/2016. Classification Avalanche hazard was classified by dividing counties based upon the number of avalanches they experienced over the nine year period in the dataset. Avalanche hazard was not normalized by total county area because it caused an over-emphasis on small counties, and because avalanches are a highly local hazard. None = 0 AvalanchesLow = 1 AvalancheMedium = 2-5 AvalanchesHigh = 6-10 Avalanches Earthquake Hazard United States Geological Survey. “Earthquake Hazard Maps”. 1:2,000,000. “Peak Ground Acceleration 2% in 50 Years”. < http://earthquake.usgs.gov/hazards/products/conterminous/ >. Downloaded 07/2016. Classification Peak ground acceleration (% gravity) with a 2% likelihood in 50 years was averaged by United States County, and the earthquake hazard of counties was classified based upon this average. Low = 0 - 14.25 % gravity peak ground accelerationMedium = 14.26 - 47.5 % gravity peak ground accelerationHigh = 47.5+ % gravity peak ground acceleration Flood Hazard United States Federal Emergency Management Administration. “National Flood Hazard Layer”. 1:10,000. “0.2 Percent Annual Flood Area”. < https://data.femadata.com/FIMA/Risk_MAP/NFHL/ >. Downloaded 07/2016. Classification The National Flood Hazard Layer 0.2 Percent Annual Flood Area was spatially intersected with the United States Counties layer, splitting flood areas by county and adding county information to flood areas. Flood area was aggregated by county, expressed as a fraction of the total county land area, and flood hazard was classified based upon percentage of land that is susceptible to flooding. National Flood Hazard Layer does not cover the entire United States; coverage is focused on populated areas. Areas not included in National Flood Hazard Layer were assigned flood risk of Low in order to include these areas in further analysis. Low = 0-.001% area susceptibleMedium = .00101 % - .005 % area susceptibleHigh = .00501+ % area susceptible Heat Wave Hazard United States Center for Disease Control and Prevention. “National Climate Assessment”. Contiguous United States Counties. “Extreme Heat Events: Heat Wave Days in May - September for years 1981-2010”. Downloaded 06/2016. Classification Heat wave was classified by dividing counties based upon the number of heat wave days they experienced over the 30 year time period described in the dataset. Low = 126 - 171 Heat wave DaysMedium = 172 – 187 Heat wave DaysHigh = 188 – 255 Heat wave Days Hurricane Hazard National Oceanic and Atmospheric Administration. Coastal Services Center. “Historical North Atlantic Tropical Cyclone Tracks, 1851-2004”. 1: 2,000,000. < https://catalog.data.gov/dataset/historical-north-atlantic-tropical-cyclone-tracks-1851-2004-direct-download >. Downloaded 06/2016. National Oceanic and Atmospheric Administration. Coastal Services Center. “Historical North Pacific Tropical Cyclone Tracks, 1851-2004”. 1: 2,000,000. < https://catalog.data.gov/dataset/historical-north-atlantic-tropical-cyclone-tracks-1851-2004-direct-download >. Downloaded 06/2016. Classification Atlantic and Pacific datasets were merged. Tropical storm and disturbance tracks were filtered out leaving hurricane tracks. Each hurricane track was assigned the value of the category number that describes that event. Weighting each event by intensity ensures that areas with higher intensity events are characterized as being more hazardous. Values describing each hurricane event were aggregated by United States County, normalized by total county area, and the hurricane hazard of counties was classified based upon the normalized value. Landslide Hazard United States Geological Survey. “Landslide Overview Map of the United States”. 1:4,000,000. “Landslide Incidence and Susceptibility in the Conterminous United States”. < https://catalog.data.gov/dataset/landslide-incidence-and-susceptibility-in-the-conterminous-united-states-direct-download >. Downloaded 07/2016. Classification The classifications of High, Moderate, and Low landslide susceptibility and incidence from the study were numerically coded, the average value was computed for each county, and the landslide hazard was classified based upon the average value.   Long-Term Drought Hazard United States Drought Monitor, Drought Mitigation Center, United States Department of Agriculture, National Oceanic and Atmospheric Administration. “Drought Monitor Summary Map”. “Long-Term Drought Impact”. < http://droughtmonitor.unl.edu/MapsAndData/GISData.aspx >. Downloaded 06/2016. Classification Short-term drought areas were filtered from the data; leaving only long-term drought areas. United States Counties were assigned the average U.S. Drought Monitor Classification Scheme Drought Severity Classification value that characterizes the county area. County long-term drought hazard was classified based upon average Drought Severity Classification value. Low = 1 – 1.75 average Drought Severity Classification valueMedium = 1.76 -3.0 average Drought Severity Classification valueHigh = 3.0+ average Drought Severity Classification value Snowfall Hazard United States National Oceanic and Atmospheric Administration. “1981-2010 U.S. Climate Normals”. 1: 2,000,000. “Annual Snow Normal”. < http://www1.ncdc.noaa.gov/pub/data/normals/1981-2010/products/precipitation/ >. Downloaded 08/2016. Classification Average yearly snowfall was joined with point location of weather measurement stations, and stations without valid snowfall measurements were filtered out (leaving 6233 stations). Snowfall was interpolated using least squared distance interpolation to create a .05 degree raster describing an estimate of yearly snowfall for the United States. The average yearly snowfall raster was aggregated by county to yield the average yearly snowfall per United States County. The snowfall risk of counties was classified by average snowfall. None = 0 inchesLow = .01- 10 inchesMedium = 10.01- 50 inchesHigh = 50.01+ inches Tornado Hazard United States National Oceanic and Atmospheric Administration Storm Prediction Center. “Severe Thunderstorm Database and Storm Data Publication”. 1: 2,000,000. “United States Tornado Touchdown Points 1950-2004”. < https://catalog.data.gov/dataset/united-states-tornado-touchdown-points-1950-2004-direct-download >. Downloaded 07/2016. Classification Each tornado touchdown point was assigned the value of the Fujita Scale that describes that event. Weighting each event by intensity ensures that areas with higher intensity events are characterized as more hazardous. Values describing each tornado event were aggregated by United States County, normalized by total county area, and the tornado hazard of counties was classified based upon the normalized value. Volcano Hazard Smithsonian Institution National Volcanism Program. “Volcanoes of the World”. “Holocene Volcanoes”. < http://volcano.si.edu/search_volcano.cfm >. Downloaded 07/2016. Classification Volcano coordinate locations from spreadsheet were mapped and aggregated by United States County. Volcano count was normalized by county area, and the volcano hazard of counties was classified based upon the number of volcanoes present per unit area. None = 0 volcanoes/100 kilometersLow = 0.000915 - 0.007611 volcanoes / 100 kilometersMedium = 0.007612 - 0.018376 volcanoes / 100 kilometersHigh = 0.018377- 0.150538 volcanoes / 100 kilometers Wildfire Hazard United States Department of Agriculture, Forest Service, Fire, Fuel, and Smoke Science Program. “Classified 2014 Wildfire Hazard Potential”. 270 meters. < http://www.firelab.org/document/classified-2014-whp-gis-data-and-maps >. Downloaded 06/2016.  Classification The classifications of Very High, High, Moderate, Low, Very Low, and Non-Burnable/Water wildfire hazard from the study were numerically coded, the average value was computed for each county, and the wildfire hazard was classified based upon the average value.  
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  • Flood Zones Q3 Extent
    Flood Data Q3 is derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA) mapped at 1:24000 scale. The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Preliminary and Pending data is loaded from the FEMA Map Service Center as soon as it becomes available and is removed when the flood maps become final.
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  • Flood Zones Q3
    Flood Data Q3 is derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA) mapped at 1:24000 scale. The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Preliminary and Pending data is loaded from the FEMA Map Service Center as soon as it becomes available and is removed when the flood maps become final.
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  • Q3 Data
    Flood Data Q3 is derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA) mapped at 1:24000 scale. The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Preliminary and Pending data is loaded from the FEMA Map Service Center as soon as it becomes available and is removed when the flood maps become final.
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  • Maine Flood Hazard Map
    Flood Data Q3 is derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA) mapped at 1:24000 scale. The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000. Preliminary and Pending data is loaded from the FEMA Map Service Center as soon as it becomes available and is removed when the flood maps become final.
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  • NYC Hurricane Evacuation Zone Finder
    Use the NYC Hurricane Evacuation Zone Finder to find out if your address is in a hurricane evacuation zone. The best way to be prepared for the possibility of a hurricane evacuation is to know your evacuation zone, and plan your destination and travel routes ahead of time. Zones are color-coded and labeled 1, 2, 3, 4, 5, and 6 when represented on a map.Information on evacuation centers is subject to change. Please revisit this site for updated reports on building status and wheelchair accessibility features.Find out more about the zones and preparing for a coastal storm: NYC Hazards - Coastal Storms & Hurricanes
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  • American Samoa Coastal Flooding
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  • View Detailed District of Columbia Flood Zones in your area
    This application is a tool that District of Columbia property owners may use to identify the flood risk-zone for their property. DDOE has made every reasonable effort to ensure the accuracy of data provided through this application, however the data is for informational purposes only, and is not to be construed as legally binding with respect to determination of the applicable flood insurance premiums or requirements. The District of Columbia does not assume any liability arising from the use of this data. Additional data may be obtained from FEMA Map Service Center (http://msc.fema.gov/). For more flood insurance information, please visit www.floodsmart.gov.
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  • SAR Field Data Collection Form User Guide
    Overview: This document is a reference guide for users of the SAR Field Data Collection Form User Guide. The purpose is to provide a better understanding of how to use the form in the field.    The underlying technology used with this form is likely to evolve and change over time, therefore technical user guides will be provided as appendices to this document.   Background: The SAR Field Data Collection Form was created by an interdisciplinary group of first responders, decision-makers and technology specialists from across Federal, State, and Local Urban Search and Rescue Teams – the NAPSG Foundation SAR Working Group. If you have any questions or concerns regarding this document and associated materials, please send a note to comments@publicsafetygis.org.     Purpose:  The SAR Field Data Collection Form is intended to provide a standardized approach to the collection of information during disaster response alongside resource management and tracking of assets.The primary goal of this approach is to obtain situational awareness (where, when, what) for SAR Teams in the field across four relevant themes:  Victims that may need assistance or have already been helped. Hazards that must be avoided or mitigated. Damage that have been rapidly assessed for damage, when time and the mission permits. Other mission critical intelligence that vary based on mission type. The secondary goal of this approach is to provide essential elements of information to those not currently on-scene of the disaster. Using the themes above, information and maps can be shared based on “need to know”. If you are a technology specialist looking to deploy this application on your own see the Deployment Kit.
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  • Improving Situational Awareness using NIFC ArcGIS Online for Wildland Fire Response
    An introduction to the NIFC ArcGIS Online Organization. This story map shows examples of ways to utilize the features on the NIFC ArcGIS Online website.  For more information please email: wildfireresponse@firenet.gov
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  • Flood plain and MD Govt Bldgs
    FEMA Flood plain map with Maryland State Facilities to see which government buildings are at Flood risk zones.
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  • USGS Earthquake Hazards Program - Yellowstone Region
    This web site is provided by the United States Geological Survey's (USGS) Earthquake Hazards Program as part of our effort to reduce earthquake hazard in the United States. We are part of the USGS Geologic Discipline and are the USGS component of the congressionally established, multi-agency National Earthquake Hazards Reduction Program (NEHRP). The USGS participates in the NEHRP with the Federal Emergency Management Agency (FEMA), the National Institute of Standards and Technology (NIST), and the National Science Foundation (NSF). In the 2004 reauthorization of NEHRP by Congress, NIST has been given the lead role to plan and coordinate this national effort to mitigate earthquake losses by developing and applying earth science data and assessments essential for land-use planning, engineering design, and emergency preparedness decisions.
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  • FEMA - Flood Hazard Zones
    The S_Fld_Haz_Ar table contains information about the flood hazards within the flood risk project area. These zones are used by FEMA to designate the SFHA and for insurance rating purposes. These data are the regulatory flood zones designated by FEMA.
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  • Earthquake Logistics Dashboard
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  • Rhode Island Real-Time Storm Mapper
    Data Utilized:Coventry Emergency Operations Center webpage displays live weather conditions at the Coventry Town Hall Annex building.  This station is maintained by Coventry Environmental Management Agency (CEMA).Hospitals, Fire Stations, Emergency Medical Services, Law Enforcement datasets display emergency service details and locations as represented by data available from RIGIS.Rhode Island Flood Hazard Areas dataset displays generalized Rhode Island flood hazard areas as represented by FEMA Digital Flood Insurance Rate Map (DFIRM) data available from RIGIS.Tropical Cyclones - Watches, Warnings, and Track/Intensity Forecasts dataset displays the latest NWS/National Hurricane Center (NHC) and Central Pacific Hurricane Center (CPHC) tropical storm and hurricane information.  This dataset is updated twice per hour to display up-to-date information.  This map service also provides a "working best track" or "best track" for presently active storms, with a forecast uncertainty as conveyed by the track forecast "cone".WAZE Live Map website displays the latest, community-based traffic conditions as represented by data available from WAZE. Windy website displays the latest weather conditions as represented by data available from windy.com.
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  • Open Pharmacies - Rx Open
    Rx Open helps patients find nearby open pharmacies in areas impacted by disaster. Combining multiple data feeds from the pharmaceutical industry, Rx Open displays the precise location of open pharmacies, closed pharmacies, and those whose status is unknown. This critical information assists government officials in assessing an emergency's impact on public health in a disaster area.Healthcare Ready provides Rx Open to the public at no cost during a disaster through the generous support of our leadership and from the NCPDP Foundation, who provides grant support and the dataQ® pharmacy data file.To enroll your pharmacy email ContactUs@HealthcareReady.org. Participation in Rx Open is free. If the status of your pharmacy is not consistent with what is shown on the Rx Open maps, please contact us at ContactUs@HealthcareReady.org.
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  • Open Shelters
    This web service displays data from the FEMA National Shelter System database. The FEMA NSS database is synchronized every morning with the American Red Cross shelter database. After this daily refresh, FEMA GIS connects every 20 minutes to the FEMA NSS database looking for any shelter updates that occur throughout the day in the the FEMA NSS. Contact email: FEMA-GISMAPS@fema.gov
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  • Nebraska and Iowa Flooding Hazard Overview Dashboard
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    last week
  • Inundation Height
    This map is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Inundation Height
    This map is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Puerto Rico and USVI (Category 5 SLOSH MOMs) Storm Surge Inundation
    This map is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Inundation Height
    This map is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Inundation Height
    This map is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Puerto Rico and USVI (Category 4 SLOSH MOMs) Storm Surge Inundation
    This map is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Inundation Height
    This map is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Inundation Height
    This map is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Puerto Rico and USVI (Category 3 SLOSH MOMs) Storm Surge Inundation
    This map is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Inundation Height
    This map is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Inundation Height
    This map is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Puerto Rico and USVI (Category 2 SLOSH MOMs) Storm Surge Inundation
    This map is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Inundation Height
    This layer is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Inundation Height
    This layer is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • Puerto Rico and USVI (Category 1 SLOSH MOMs) Storm Surge Inundation
    This layer is utilized within the National Storm Surge Hazard Map Application created by the National Hurricane Center Storm Surge Unit.The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst–case scenario of flooding for each hurricane category.SLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst–case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model for storm surge modeling applications in island regions such as Hawaii, Puerto Rico, and US Virgin Islands. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.
    2
    last week
  • USNG Map Book Template for ArcGIS Pro
    Contents: This is an ArcGIS Pro zip file that you can download and use for creating map books based on United States National Grid (USNG). It contains a geodatabase, layouts, and tasks designed to teach you how to create a basic map book.Version 1.0.0 Uploaded on May 24th and created with ArcGIS Pro 2.1.3  - Please see the README below before getting started!Updated to 1.1.0 on August 20thUpdated to 1.2.0 on September 7thUpdated to 2.0.0 on October 12thUpdate to 2.1.0 on December 29thBack to 1.2.0 due to breaking changes in the templateBack to 1.0.0 due to breaking changes in the template as of June 11th 2019Updated to 2.1.1 on October 8th 2019Audience: GIS Professionals and new users of ArcGIS Pro who support Public Safety agencies with map books. If you are looking for apps that can be used by any public safety professional, see the USNG Lookup Viewer.Purpose: To teach you how to make a map book with critical infrastructure and a basemap, based on USNG. You NEED to follow the steps in the task and not try to take shortcuts the first time you use this task in order to receive the full benefits. Background: This ArcGIS Pro template is meant to be a starting point for your map book projects and is based on best practices by the USNG National Implementation Center (TUNIC) at Delta State University and is hosted by the NAPSG Foundation. This does not replace previous templates created in ArcMap, but is a new experimental approach to making map books. We will continue to refine this template and work with other organizations to make improvements over time. So please send us your feedback admin@publicsafetygis.org and comments below. Instructions: Download the zip file by clicking on the thumbnail or the Download button.Unzip the file to an appropriate location on your computer (C:\Users\YourUsername\Documents\ArcGIS\Projects is a common location for ArcGIS Pro Projects).Open the USNG Map book Project File (APRX).If the Task is not already open by default, navigate to Catalog > Tasks > and open 'Create a US National Grid Map Book' Follow the instructions! This task will have some automated processes and models that run in the background but you should pay close attention to the instructions so you also learn all of the steps. This will allow you to innovate and customize the template for your own use.FAQsWhat is US National Grid? The US National Grid (USNG) is a point and area reference system that provides for actionable location information in a uniform format. Its use helps achieve consistent situational awareness across all levels of government, disciplines, and threats & hazards – regardless of your role in an incident.One of the key resources NAPSG makes available to support emergency responders is a basic USNG situational awareness application. See the NAPSG Foundation and USNG Center websites for more information.What is an ArcGIS Pro Task? A task is a set of preconfigured steps that guide you and others through a workflow or business process. A task can be used to implement a best-practice workflow, improve the efficiency of a workflow, or create a series of interactive tutorial steps. See "What is a Task?" for more information.Do I need to be proficient in ArcGIS Pro to use this template? We feel that this is a good starting point if you have already taken the ArcGIS Pro QuickStart Tutorials. While the task will automate many steps, you will want to get comfortable with the map layouts and other new features in ArcGIS Pro.Is this template free? This resources is provided at no-cost, but also with no guarantees of quality assurance or support at this time. Can't I just use ArcMap? Ok - here you go. USNG 1:24K Map Template for ArcMapKnown Limitations and BugsZoom To: It appears there may be a bug or limitation with automatically zooming the map to the proper extent, so get comfortable with navigation or zoom to feature via the attribute table.FGDC Compliance: We are seeking feedback from experts in the field to make sure that this meets minimum requirements. At this point in time we do not claim to have any official endorsement of standardization. File Size: Highly detailed basemaps can really add up and contribute to your overall file size, especially over a large area / many pages. Consider making a simple "Basemap" of street centerlines and building footprints.We will do the best we can to address limitations and are very open to feedback!
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  • Tornado Logistics Dashboard
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  • IRWIN Data Service User's Guide ( 20190325)
    IntroductionIRWIN ArcGIS Online GeoPlatform Services The Integrated Reporting of Wildland-Fire Information (IRWIN) Production data is replicated every 60 seconds to the ArcGIS Online GeoPlatform organization so that read-only views can be provided for consumers. This replicated view is called the hosted datastore. The “IRWIN Data” group is a set of Feature Layer views based on the replicated IRWIN layers. These feature layers provide a near real-time feed of all valid IRWIN data. All incidents that have been shared through the integration service since May 20, 2014 are available through this service. The incident data provides the location of existing fires, size, conditions and several other attributes that help classify fires. The IRWIN Data service allows users to create a web map, share it with their organization, or pull it into ArcMap or ArcGIS Pro for more in-depth analysis.InstructionsTo allow the emergency management GIS staff to join the IRWIN Data group, they will need to set up an ArcGIS Online account through our account manager. Please send the response to Samantha Gibbes (Samantha.C.Gibbes@saic.com) and Kayloni Ahtong (kayloni_ahtong@ios.doi.gov). Use the below template and fill in each part as best as possible, where the point of contact (POC) is the person responsible for the account.Reply Email Body: The (name of application) application requests the following user account and access to the IRWIN Data group.POC Name: First name Last name and titlePOC Email: Username: <>_irwin (choose a username, something short, followed by _irwin)Business Justification: Once you are set up with the account, I will coordinate a call to go over any questions. 
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  • Puerto Rico 3D Imagery, Hurricane Maria Recovery - 2019
    3D mesh in support of Hurricane Maria Recovery. Data collected Sept 2019 by Civil Air Patrol.
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  • California Deep Landslide Susceptibility and Landslide Inventory
    Calculated by the California Geological Survey, this map shows areas that are susceptible to deep-seated landslides based on the location of past landslides, the location and relative strength of rock units, and steepness of slope.  Darker reds indicate areas of increased landslide susceptibility.  Note: This map does not include information on landslide triggering events, such as rainstorms or earthquake shaking, nor does it address susceptibility to shallow landslides such as debris flows. The second map of this series is an inventory of landslide events documented by the CGS. You can click any feature for more information about the slide event. 
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  • CUSEC Resource Library Gallery
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  • Puerto Rico Earthquake Imagery 2020
    {{description}}
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  • FEMA's Flood Risk Products
    This resource is designed to be an outreach and engagement tool highlighting the value of FEMA's non-regulatory flood risk products.  Flood Risk Products (FRPs) transform traditional flood mapping efforts into an integrated process of identifying, assessing, communicating, planning for, and mitigating flood-related risks. FEMA created Flood Risk Products to be used alongside regulatory products like the Flood Insurance Rate Maps (FIRMs). FRPs are non-regulatory, ready-made sources of flood risk information that can improve how stakeholders visualize local natural hazard risks and mitigate potential damage from future hazards. FRPs include the Flood Risk Database, Flood Risk Map, and Flood Risk Report. The database comprises seven datasets. This story map explores three of these datasets, the Changes Since Last Firm, Water Surface Elevation Grid, and Depth Grid.Data layers included in this application should not be used in analysis. For the most up to date layers please visit FEMA's Map Service Center.Relevant Geographic Areas: Virginia Beach, VA; Lower Susquehanna, PA; West Point, VA
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  • Snowfall Forecst WebApp
    This map displays the expected total accumulation of new snow over the next 72 hours across the Continental United States. Data are updated hourly from the National Digital Forecast Database produced by the National Weather Service. The dataset includes incremental and cumulative snowfall data in 6-hour intervals. In the ArcGIS Online map viewer you can enable the time animation feature and select either the amount by time (incremental) or accumulation by time (cumulative) layers to view a 72-hour animation of forecast precipitation. All times are reported according to your local time zone.Where the data is coming fromThe National Digital Forecast Database (NDFD) was designed to provide access to weather forecasts in digital form from a central location. The NDFD produces gridded forecasts of sensible weather elements. NDFD contains a seamless mosaic of digital forecasts from National Weather Service (NWS) field offices working in collaboration with the National Centers for Environmental Prediction (NCEP). All of these organizations are under the administration of the National Oceanic and Atmospheric Administration (NOAA). Source: http://weather.noaa.gov/pub/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.conus/VP.001-003/ds.snow.binThe Source data is downloaded and parsed using the Aggregated Live Feeds methodology to return information that can be served through ArcGIS Server as a map service.What can you do with this layer?This map service is suitable for data discovery and visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View the time-enabled data using the time slider by Enabling Time Animation.
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  • North Dakota Oil Spills in Waterways and Floodplains
    DescriptionThe map shows the location where oil spills and brine spills have been documented by the US Department of Transportation Pipeline and Hazardous Materials Safety Administration (PHMSA) and the State of North Dakota's Department of Health. LayersOil Spills- Pipeline SpillsThe types and relative volumes of oil spills are shown on the map using different colors of markers and sizes of the markers.Types include: Equipment Failures, Storage Failures, Vehicle Accidents, Wellhead SpillsSource: PHMSA.dot.govUpdated July 2019Uncontained Oil Spills by VolumeSpills that were not contained by the boundaries of oilwell pads were mapped, and the volumes of the spills are shown by the size of the marker.Source: https://deq.nd.gov/Spills/Data from Jan. 1, 2014-July 19, 2019North Dakota Brine Spills by VolumeBrine is the saline wastewater resulting from oil and gas exploration and production.  It is enriched with a variety of toxic elements and compounds.Source: https://deq.nd.gov/Spills/Data from Jan. 1, 2014-July 19, 2019ND PipelinesThe layer shows the locations of major pipelines.Source: PHMSA.dot.govUpdated July 2019ND Oil FieldsThe layer shows the areal coverage of oil fields in North DakotaSource: https://www.dmr.nd.gov/OaGIMS/viewer.htmUpdated July 2019North Dakota Flood Plains - Mandatory InsuranceTo proactively assess and address flooding risks to the public, the U.S. Federal Emergency Management Agency (FEMA) has developed the National Flood Insurance Program (NFIP). This program was created by Congress in 1968 to help provide a means for property owners holding federally backed mortgages to financially protect themselves in the event of a flood. Flood insurance is mandatory if you live in a high-risk area and have a mortgage from a federally regulated or insured lender.Source: https://www.fema.gov/media-library/assets/documents/12886Updated July 2019North Dakota Flood Plains - 500 YearThe "500-year flood" corresponds to an AEP of 0.2-percent, which means a flood of that size or greater has a 0.2-percent chance (or 1 in 500 chance) of occurring in a given year.Source: https://www.fema.gov/media-library/assets/documents/12886Updated July 2019North Dakota Flood Plain - FloodwayA "Regulatory Floodway" means the channel of a river or other watercourse and the adjacent land areas that must be reserved in order to discharge the base flood without cumulatively increasing the water surface elevation more than a designated height. Communities must regulate development in these floodways to ensure that there are no increases in upstream flood elevations. For streams and other watercourses where FEMA has provided Base Flood Elevations (BFEs), but no floodway has been designated, the community must review floodplain development on a case-by-case basis to ensure that increases in water surface elevations do not occur, or identify the need to adopt a floodway if adequate information is available.Source: https://www.fema.gov/media-library/assets/documents/12886Updated July 2019
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  • Tennessee Tornado Building Exposure
    Application is used for visualization and analysis of buildings ( ORNL building footprints) potentially impacted by Tennessee Tornados 3/2/2020.
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  • FEMA Prioritizing Operations Support Tool (POST) Outputs
    The POST layer produced from a predictive geospatial model is based on the best-available hazard data (wind, surge, riverine flooding), population data, and social vulnerability/demographics and then generalized into more specific AOI's based on evaluation of model outputs. These areas that reflect various levels of risk help prioritize efforts and plan for satellite tasking. AOIs will be updated daily with latest hazard data during national disaster events.
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  • Wildfire Hazard Potential
    The wildland fire potential layer provides information on the relative potential for wildfire that would be difficult for fire crews to contain. Areas with higher wildland fire potential values represent fuels with a higher likelihood of experiencing high-intensity fire with torching, crowning, and other forms of extreme fire behavior.Dataset SummaryThis layer provides access to a 270m cell size raster derived from the Large Fire Simulation System (LFSim) produced as part of the Fire Program Analysis System by the USDA Forest Service’s Fire Modeling Institute. The data covers the contiguous U.S.The layer is useful for analyses of wildfire risk, hazardous fuels prioritization and strategic planning across large landscapes (hundreds of square miles) up through regional and national scales. When paired with spatial data depicting highly valued resources, land managers can use these data to create value-specific risk maps. Examples of published research using these data include:Integrated national-scale assessment of wildfire risk to human and ecological valuesA simulation of probabilistic wildfire risk components for the continental United StatesThis layer is derived from the USA Wildland Fire Potential service produced by the US Forest Service.
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  • Weather Information Map
    Purpose: This is a web map used for a situational awareness viewer. Click on links below for more information, this is a summary of the layers in this map as of 03/4/2019.Live Data Live Feed - Storm Reports (NOAA) - This map contains continuously updated U.S. tornado reports, wind storm reports and hail storm reports. You can click on each to receive information about the specific location and read a short description about the issue. Live Feed - Observed Weather (NOAA METAR) - Current wind and weather conditions at all METAR stations.Live Feed: Open Shelters (FEMA / Red Cross National Shelter System) - his web service displays data from the FEMA National Shelter System database. The FEMA NSS database is synchronized every morning with the American Red Cross shelter database. After this daily refresh, FEMA GIS connects every 20 minutes to the FEMA NSS database looking for any shelter updates that occur throughout the day in the the FEMA NSS.Live Feed: Active Hurricanes - Hurricane tracks and positions provide information on where the storm has been, where is it going, where it is currently located and the category as defined by wind speed. This data is provided by NOAA National Hurricane Center (NHC).Live Feed Action Level Stream Gauges (USGS) - This map service shows those gauges from the Live Stream Gauge layer that are currently flooding. It only includes those gauges where flood stages have been defined by the contributing agencies. Action stage represents the river depth at which the agency begins preparing for a flood and taking mitigative action.Live Feed: USA Short-Term Weather Warnings - This layer presents continuously updated US weather warnings. You can click on each to receive information about the specific location and read a short description about the issue. Each layer is updated every minute with data provided by NOAA’s National Weather Service - http://www.nws.noaa.gov/regsci/gis/shapefiles/.Live Feed: Radar (NOAA) - Quality Controlled 1km x 1km CONUS Radar Base Reflectivity. This data is provided by Mutil-Radar-Multi-Sensor (MRMS) algorithm.Flood Prediction / Simulation (Created on 09/13 by Pacific Northwest National Laboratory RIFT Model) - Pacific Northwest National Laboratory RIFT Model: The simulations, based on NOAA weather forecasts, are used to improve understanding of the storm and its potential flood impacts. The simulations were created with PNNL's Rapid Inundation Flood Tool, a two-dimensional hydrodynamic computer model.Base Data - FEMA National Flood Hazard Layer - The National Flood Hazard Layer (NFHL) dataset represents the current effective flood data for the country, where maps have been modernized.  It is a compilation of effective Flood Insurance Rate Map (FIRM) databases and Letters of Map Change (LOMCs). The NFHL is updated as studies go effective. For more information, visit FEMA's Map Service Center (MSC). Base Data - Storm Surge Scenarios (NOAA) - This mapping service displays near worst case storm surge flooding (inundation) scenarios for the Gulf and Atlantic coasts. This map service was derived from an experimental storm surge data product developed by the National Hurricane Center (NHC).
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  • Spring Midwest Flooding 2019
    Sentinel 1 - RGB Flood MapThe Alaska Satellite Facility developed a false color Red, Green, Blue (RGB) composite image of the Sentinel-1A/B Synthetic Aperture Radar (SAR) instrument which assigns the co- and cross-polarization information to a channel in the RGB composite. When used to support a flooding event, areas in blue denotes water present at the time of the satellite overpass before or after the start of the flooding event. Satellite: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel 1 A/B satellite; 30 m resolutionCredits: Copernicus Sentinel data (2019), processed by ESA, Alaska Satellite Facility, and NASA Marshal Space Flight Center. Sentinel 1 - Water Extent MapThis product shows three areas: known reference water (blue), anomalous water identified outside the known reference water areas (red), and water detected in known wetlands or barren land (tan). This product can be used to perform a change analysis due to the flooding. \Satellite: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel 1 A/B satellite; 30 m resolutionCredits: Copernicus Sentinel data (2019), processed by ESA, Alaska Satellite Facility, and NASA Marshal Space Flight Center. Landsat 8 Natural Color RGBAreas of water will appear blue, healthy green vegetation will appear as bright green, urban areas in various shades of magentas, clouds appear as white or bright blue, and bare soils being multicolor dependent on their makeup. Satellite:  Landsat 8 Operational Land Imager (OLI); 30m resolution.Credits: NASA/MSFC, USGS.
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  • LA, MS, and SC Tornado Building Exposure April 2020
    Application is used for visualization and analysis of buildings ( ORNL building footprints) potentially impacted by LA and MS tornados 4/12/2020.
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  • Image
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  • Footprint
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  • Boundary
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  • Mississippi Easter Tornados Moss
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  • Chmura COVID-19 Economic Vulnerability Index (CVI) for US Counties
    Access the Data HereWhat is the COVID-19 Economic Vulnerability Index?The COVID-19 Vulnerability Index (CVI) is a measurement of the negative impact that the coronavirus (COVID-19) crisis can have on employment based upon a region's mix of industries. For example, accommodation and food services are projected to lose more jobs as a result of the coronavirus (in the neighborhood of 50%) compared with utilities and healthcare (with none or little expected job contraction).An average Vulnerability Index score is 100, representing the average job loss expected in the United States. Higher scores indicate the degree to which job losses may be greater — an index score of 200, for example, means the rate of job loss can be twice as large as the national average. Conversely, an index score of 50 would mean a possible job loss of half the national average. Regions heavily dependent on tourism with relatively high concentrations of leisure and hospitality jobs, for example, are likely to have high index scores. The Vulnerability Index only measures the impact potential related to the mix of industry employment. The index does not take into account variation due to a region’s rate of virus infection, nor does it factor in local government's policies in reaction to the virus. For more detail, please see this description.MethodologyThe index is based on a model of potential job losses due to the COVID-19 outbreak in the United States. Expected employment losses at the subsector level are based upon inputs which include primary research on expert testimony; news reports for key industries such as hotels, restaurants, retail, and transportation; preliminary release of unemployment claims; and the latest job postings data from Chmura's RTI database. The forecast model, based on conditions as of March 23, 2020, assumes employment in industries in each county/region would change at a similar rate as employment in national industries. The projection estimates that the United States could lose 15.0 million jobs due to COVID-19, with over half of the jobs lost in hotels, food services, and entertainment industries. Contact Chmura for further details.
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  • Image
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  • Footprint
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  • Boundary
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  • soso nadir
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  • Mississippi Easter Tornados Soso Nadir
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  • 2D & 3D Imagery - Easter Weekend Mississippi Tornadoes
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  • Bureau of Labor Statistics (Monthly Unemployment - current 14 months)
    This app contains the most current 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values. The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: February 2020 (preliminary values at the county level)The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor forceData obtained from the U.S. Bureau of Labor Statistics. Data downloaded: April 8, 2020Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNationData Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS's county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2019 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.To better understand the different labor force statistics included in this map, see the diagram below from BLS:
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  • Severe Events
    This is a saved copy of the NWS Weather Watches and Warning layer, filtered just for wildfire related warnings.Details from the orginal item:https://www.arcgis.com/home/item.html?id=a6134ae01aad44c499d12feec782b386This feature service depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into 43 categories.A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action.A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities.An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property.SourceNational Weather Service RSS-CAP Warnings and Advisories: Public AlertsNational Weather Service Boundary Overlays: AWIPS Shapefile DatabaseUpdate FrequencyThe services is updated every 5 minutes using the Aggregated Live Feeds methodology.The overlay data is checked and updated daily from the official AWIPS Shapefile Database.Area CoveredUnited States and TerritoriesWhat can you do with this layer?Customize the display of each attribute by using the Change Style option for any layer.Query the layer to display only specific types of weather watches and warnings.Add to a map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
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  • Extreme Events
    This is a saved copy of the NWS Weather Watches and Warning layer, filtered just for wildfire related warnings.Details from the orginal item:https://www.arcgis.com/home/item.html?id=a6134ae01aad44c499d12feec782b386This feature service depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into 43 categories.A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action.A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities.An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property.SourceNational Weather Service RSS-CAP Warnings and Advisories: Public AlertsNational Weather Service Boundary Overlays: AWIPS Shapefile DatabaseUpdate FrequencyThe services is updated every 5 minutes using the Aggregated Live Feeds methodology.The overlay data is checked and updated daily from the official AWIPS Shapefile Database.Area CoveredUnited States and TerritoriesWhat can you do with this layer?Customize the display of each attribute by using the Change Style option for any layer.Query the layer to display only specific types of weather watches and warnings.Add to a map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
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  • Events Ordered by Size and Severity
    This is a saved copy of the NWS Weather Watches and Warning layer, filtered just for wildfire related warnings.Details from the orginal item:https://www.arcgis.com/home/item.html?id=a6134ae01aad44c499d12feec782b386This feature service depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into 43 categories.A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action.A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities.An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property.SourceNational Weather Service RSS-CAP Warnings and Advisories: Public AlertsNational Weather Service Boundary Overlays: AWIPS Shapefile DatabaseUpdate FrequencyThe services is updated every 5 minutes using the Aggregated Live Feeds methodology.The overlay data is checked and updated daily from the official AWIPS Shapefile Database.Area CoveredUnited States and TerritoriesWhat can you do with this layer?Customize the display of each attribute by using the Change Style option for any layer.Query the layer to display only specific types of weather watches and warnings.Add to a map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
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  • Coastal and Offshore Marine Zones
    This is a saved copy of the NWS Weather Watches and Warning layer, filtered just for wildfire related warnings.Details from the orginal item:https://www.arcgis.com/home/item.html?id=a6134ae01aad44c499d12feec782b386This feature service depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into 43 categories.A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action.A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities.An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property.SourceNational Weather Service RSS-CAP Warnings and Advisories: Public AlertsNational Weather Service Boundary Overlays: AWIPS Shapefile DatabaseUpdate FrequencyThe services is updated every 5 minutes using the Aggregated Live Feeds methodology.The overlay data is checked and updated daily from the official AWIPS Shapefile Database.Area CoveredUnited States and TerritoriesWhat can you do with this layer?Customize the display of each attribute by using the Change Style option for any layer.Query the layer to display only specific types of weather watches and warnings.Add to a map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
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  • US States and Territories
    This is a saved copy of the NWS Weather Watches and Warning layer, filtered just for wildfire related warnings.Details from the orginal item:https://www.arcgis.com/home/item.html?id=a6134ae01aad44c499d12feec782b386This feature service depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into 43 categories.A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action.A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities.An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property.SourceNational Weather Service RSS-CAP Warnings and Advisories: Public AlertsNational Weather Service Boundary Overlays: AWIPS Shapefile DatabaseUpdate FrequencyThe services is updated every 5 minutes using the Aggregated Live Feeds methodology.The overlay data is checked and updated daily from the official AWIPS Shapefile Database.Area CoveredUnited States and TerritoriesWhat can you do with this layer?Customize the display of each attribute by using the Change Style option for any layer.Query the layer to display only specific types of weather watches and warnings.Add to a map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
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  • US Counties
    This is a saved copy of the NWS Weather Watches and Warning layer, filtered just for wildfire related warnings.Details from the orginal item:https://www.arcgis.com/home/item.html?id=a6134ae01aad44c499d12feec782b386This feature service depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into 43 categories.A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action.A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities.An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property.SourceNational Weather Service RSS-CAP Warnings and Advisories: Public AlertsNational Weather Service Boundary Overlays: AWIPS Shapefile DatabaseUpdate FrequencyThe services is updated every 5 minutes using the Aggregated Live Feeds methodology.The overlay data is checked and updated daily from the official AWIPS Shapefile Database.Area CoveredUnited States and TerritoriesWhat can you do with this layer?Customize the display of each attribute by using the Change Style option for any layer.Query the layer to display only specific types of weather watches and warnings.Add to a map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
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  • Fire Forecast Zones
    This is a saved copy of the NWS Weather Watches and Warning layer, filtered just for wildfire related warnings.Details from the orginal item:https://www.arcgis.com/home/item.html?id=a6134ae01aad44c499d12feec782b386This feature service depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into 43 categories.A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action.A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities.An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property.SourceNational Weather Service RSS-CAP Warnings and Advisories: Public AlertsNational Weather Service Boundary Overlays: AWIPS Shapefile DatabaseUpdate FrequencyThe services is updated every 5 minutes using the Aggregated Live Feeds methodology.The overlay data is checked and updated daily from the official AWIPS Shapefile Database.Area CoveredUnited States and TerritoriesWhat can you do with this layer?Customize the display of each attribute by using the Change Style option for any layer.Query the layer to display only specific types of weather watches and warnings.Add to a map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
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  • Other Events
    This is a saved copy of the NWS Weather Watches and Warning layer, filtered just for wildfire related warnings.Details from the orginal item:https://www.arcgis.com/home/item.html?id=a6134ae01aad44c499d12feec782b386This feature service depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into 43 categories.A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action.A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities.An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property.SourceNational Weather Service RSS-CAP Warnings and Advisories: Public AlertsNational Weather Service Boundary Overlays: AWIPS Shapefile DatabaseUpdate FrequencyThe services is updated every 5 minutes using the Aggregated Live Feeds methodology.The overlay data is checked and updated daily from the official AWIPS Shapefile Database.Area CoveredUnited States and TerritoriesWhat can you do with this layer?Customize the display of each attribute by using the Change Style option for any layer.Query the layer to display only specific types of weather watches and warnings.Add to a map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
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  • Minor Events
    This is a saved copy of the NWS Weather Watches and Warning layer, filtered just for wildfire related warnings.Details from the orginal item:https://www.arcgis.com/home/item.html?id=a6134ae01aad44c499d12feec782b386This feature service depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into 43 categories.A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action.A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities.An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property.SourceNational Weather Service RSS-CAP Warnings and Advisories: Public AlertsNational Weather Service Boundary Overlays: AWIPS Shapefile DatabaseUpdate FrequencyThe services is updated every 5 minutes using the Aggregated Live Feeds methodology.The overlay data is checked and updated daily from the official AWIPS Shapefile Database.Area CoveredUnited States and TerritoriesWhat can you do with this layer?Customize the display of each attribute by using the Change Style option for any layer.Query the layer to display only specific types of weather watches and warnings.Add to a map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
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  • Moderate Events
    This is a saved copy of the NWS Weather Watches and Warning layer, filtered just for wildfire related warnings.Details from the orginal item:https://www.arcgis.com/home/item.html?id=a6134ae01aad44c499d12feec782b386This feature service depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into 43 categories.A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action.A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities.An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property.SourceNational Weather Service RSS-CAP Warnings and Advisories: Public AlertsNational Weather Service Boundary Overlays: AWIPS Shapefile DatabaseUpdate FrequencyThe services is updated every 5 minutes using the Aggregated Live Feeds methodology.The overlay data is checked and updated daily from the official AWIPS Shapefile Database.Area CoveredUnited States and TerritoriesWhat can you do with this layer?Customize the display of each attribute by using the Change Style option for any layer.Query the layer to display only specific types of weather watches and warnings.Add to a map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
    6
    last week
  • Public Forecast Zones
    This is a saved copy of the NWS Weather Watches and Warning layer, filtered just for wildfire related warnings.Details from the orginal item:https://www.arcgis.com/home/item.html?id=a6134ae01aad44c499d12feec782b386This feature service depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into 43 categories.A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action.A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities.An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property.SourceNational Weather Service RSS-CAP Warnings and Advisories: Public AlertsNational Weather Service Boundary Overlays: AWIPS Shapefile DatabaseUpdate FrequencyThe services is updated every 5 minutes using the Aggregated Live Feeds methodology.The overlay data is checked and updated daily from the official AWIPS Shapefile Database.Area CoveredUnited States and TerritoriesWhat can you do with this layer?Customize the display of each attribute by using the Change Style option for any layer.Query the layer to display only specific types of weather watches and warnings.Add to a map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
    6
    last week
  • Weather Warnings (Fire related, National Weather Service)
    This is a saved copy of the NWS Weather Watches and Warning layer, filtered just for wildfire related warnings.Details from the orginal item:https://www.arcgis.com/home/item.html?id=a6134ae01aad44c499d12feec782b386This feature service depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into 43 categories.A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action.A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities.An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property.SourceNational Weather Service RSS-CAP Warnings and Advisories: Public AlertsNational Weather Service Boundary Overlays: AWIPS Shapefile DatabaseUpdate FrequencyThe services is updated every 5 minutes using the Aggregated Live Feeds methodology.The overlay data is checked and updated daily from the official AWIPS Shapefile Database.Area CoveredUnited States and TerritoriesWhat can you do with this layer?Customize the display of each attribute by using the Change Style option for any layer.Query the layer to display only specific types of weather watches and warnings.Add to a map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
    2
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  • 2D & 3D Imagery - Onalaska, TX Tornado 4/22/2020
    1
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  • Feeding America Food Banks View1
    NOTE:  Due to resource constraints, Team Rubicon is no longer updating operational status of Food Banks.  The Feeding America nationwide network of food banks secures and distributes 4.3 billion meals each year through food pantries and meal programs throughout the United States and leads the nation to engage in the fight against hunger.What is a food bank?A food bank is a non-profit organization that collects and distributes food to hunger-relief charities. Food banks act as food storage and distribution depots for smaller front line agencies; and usually do not themselves give out food directly to people struggling with hunger.Food banks in the U.S. are very diverse – from small operations serving people spread out across large rural areas to very large facilities that store and distribute many millions of pounds of food each year, and everything in between. A variety of factors impact how food banks work, from the size of the facility to the number of staff members.  But, one thing all food banks have in common is that they rely on donors and volunteers to carry out their day-to-day operations.Data Source:  https://www.feedingamerica.org/find-your-local-foodbank
    6
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  • Hurricane Gallery (Hub Site)
    {{description}}
    2
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  • Tornadoes Gallery (Hub Site)
    {{description}}
    2
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  • County Hurr Risk
    The hurricane risk index is simply the product of the cumulative hurricane strikes per coastal county and the CDC Overall Social Vulnerability Index (SVI) for the given county. We normalize the hurricane strikes data to match the SVI data classification scheme (i.e., max value at 1); however, using the raw or normalized values of hurricane strikes has no impact on the spatial pattern of the risk index.  Therefore, a risk index of value 1 indicates the county has the highest hurricane strikes of all the counties and is the most vulnerable county in the nation according to the SVI index.  Because the analysis is over multiple states, we use the ‘United States’ SVI dataset at the county level.  Values of the index are unevenly distributed so we classify intervals using the Jenks method and the first break at 0.08 is roughly equal to the median index value.  For counties north of North Carolina, the low hurricane risk is most dependent on the low number of hurricane strikes.  The vast majority of the counties fall in the lowest risk category and any in the second lowest category are there because of high social vulnerability. 
    6
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  • NOAA Coastal Inundation Dashboard
    Inundation Dashboard provides real-time and historic coastal flooding information at a majority of coastal water level stations operated by the National Ocean Service (NOS) Center for Operational Oceanographic Products & Services (CO-OPS). The product features both a map based view where users can easily view coastal flooding information geospatially and a more detailed station view where real-time and historical data for a specific location are highlighted.Developed by National Ocean Service (NOS) Center for Operational Oceanographic Products and Services (CO-OPS)
    2
    last week
  • Hurricane Frequency Hexbins
    This feature service layer is a component of the Storm Surge Inundation Map application. Please launch the main application using this link: https://www.epa.gov/crwu/coastal-storm-surge-scenarios-water-utilities.This layer contains the total number of storm landfalls (strikes) and average return period for each category of hurricane, for each U.S. coastal county.The Storm Surge Inundation Map application presents a series of maps of projected storm variables as part of the EPA’s Creating Resilient Water Utilities (CRWU) initiative to illustrate Coastal Storm Surge Scenarios for water utilities.Point of contact: Steve Fries (fries.steve@epa.gov), EPA’s Creating Resilient Water Utilities
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  • COVID-19 Census Layer Showcase
    {{description}}
    1
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    {{description}}
    1
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  • Feeding America: Food Insecurity (2017)
    https://map.feedingamerica.org/Every community in the country is home to people who struggle with hunger. Since federal nutrition programs don’t reach everyone in need, food banks help fill the gap. Learn more about local food insecurity by exploring data from Feeding America’s annual Map the Meal Gap study. When we better understand hunger, we can help end hunger.What is food insecurity and what does it look like in America?Food insecurity refers to USDA’s measure of lack of access, at times, to enough food for an active, healthy life for all household members and limited or uncertain availability of nutritionally adequate foods. Food-insecure households are not necessarily food insecure all the time. Food insecurity may reflect a household’s need to make trade-offs between important basic needs, such as housing or medical bills, and purchasing nutritionally adequate foods.Gundersen, C., A. Dewey, M. Kato, A. Crumbaugh & M. Strayer. Map the Meal Gap 2019: A Report on County and Congressional District Food Insecurity and County Food Cost in the United States in 2017. Feeding America, 2019.
    1
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  • FEMA Tornado Response Dashboards - Mobile and Desktop (Hub)
    {{description}}
    1
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  • 3D Nashville TN Tornado (ver 1.7)
    CAP 3D Imagery that captured damage from the Nashville Tornado 3/3/2020
    1
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  • Earthquake Critical Infrastructure & Essential Facilities App
    {{description}}
    2
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  • HAZUS Results Dashboard for Puerto Rico Earthquake 6.4
    {{description}}
    1
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  • Puerto Rico M 6.4 Earthquake Preliminary Damage Assessments Dashboard
    {{description}}
    1
    last week
  • ACS Health Insurance Coverage
    {{description}}
    2
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  • US Food Insecurity (2017)
    https://map.feedingamerica.org/Every community in the country is home to people who struggle with hunger. Since federal nutrition programs don’t reach everyone in need, food banks help fill the gap. Learn more about local food insecurity by exploring data from Feeding America’s annual Map the Meal Gap study. When we better understand hunger, we can help end hunger.What is food insecurity and what does it look like in America?Food insecurity refers to USDA’s measure of lack of access, at times, to enough food for an active, healthy life for all household members and limited or uncertain availability of nutritionally adequate foods. Food-insecure households are not necessarily food insecure all the time. Food insecurity may reflect a household’s need to make trade-offs between important basic needs, such as housing or medical bills, and purchasing nutritionally adequate foods.Thumbnail: https://www.independent.com/2017/02/24/welcome-department-food-security/Splash screen Image: https://i.shgcdn.com/cbe4de4a-0927-4fd9-b3bd-5df086a72ec2/-/format/auto/-/preview/3000x3000/-/quality/lighter/Gundersen, C., A. Dewey, M. Kato, A. Crumbaugh & M. Strayer. Map the Meal Gap 2019: A Report on County and Congressional District Food Insecurity and County Food Cost in the United States in 2017. Feeding America, 2019.
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  • Stream Gauges (Flood Response Dashboard)
    {{description}}
    1
    last week
  • FEMA Flood Response Dashboard - Mobile and Desktop (Hub)
    {{description}}
    1
    last week
  • Tornado Warnings (Map for Infographic Dashboard)
    {{description}}
    1
    last week
  • Tornado Storm Reports 24 hours (Map for Infographic Dashboard)
    {{description}}
    1
    last week
  • Tornado Storm Reports past week (Map for Infographic Dashboard)
    1
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  • PlanningFactors EarthquakeJournal
    {{description}}
    1
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  • Total IA IHP Awards Aggregated to 5KM USNG (Apps > 10)
    Individual Assistance Applicant, Eligibility Obligations and Inspections aggregated to USNG 1km and 5km grids. Data is updated every morning at 3am. Approved amounts are not reflective of any adjustments to awards performed by FEMA Finance Center or US Treasury. Contact email: FEMA-Recovery-Geo@fema.dhs.gov
    6
    last week
  • Total IA IHP Awards Aggregated to 1KM USNG (Apps > 10)
    Individual Assistance Applicant, Eligibility Obligations and Inspections aggregated to USNG 1km and 5km grids. Data is updated every morning at 3am. Approved amounts are not reflective of any adjustments to awards performed by FEMA Finance Center or US Treasury. Contact email: FEMA-Recovery-Geo@fema.dhs.gov
    6
    last week
  • Total IA Eligibility Aggregated to 5KM USNG (Apps > 10)
    Individual Assistance Applicant, Eligibility Obligations and Inspections aggregated to USNG 1km and 5km grids. Data is updated every morning at 3am. Approved amounts are not reflective of any adjustments to awards performed by FEMA Finance Center or US Treasury. Contact email: FEMA-Recovery-Geo@fema.dhs.gov
    6
    last week
  • Total IA Eligibility Aggregated to 1KM USNG (Apps > 10)
    Individual Assistance Applicant, Eligibility Obligations and Inspections aggregated to USNG 1km and 5km grids. Data is updated every morning at 3am. Approved amounts are not reflective of any adjustments to awards performed by FEMA Finance Center or US Treasury. Contact email: FEMA-Recovery-Geo@fema.dhs.gov
    6
    last week
  • Total IA Inspections Aggregated to 5KM USNG (Apps > 10)
    Individual Assistance Applicant, Eligibility Obligations and Inspections aggregated to USNG 1km and 5km grids. Data is updated every morning at 3am. Approved amounts are not reflective of any adjustments to awards performed by FEMA Finance Center or US Treasury. Contact email: FEMA-Recovery-Geo@fema.dhs.gov
    6
    last week
  • Total IA Inspections Aggregated to 1KM USNG (Apps > 10)
    Individual Assistance Applicant, Eligibility Obligations and Inspections aggregated to USNG 1km and 5km grids. Data is updated every morning at 3am. Approved amounts are not reflective of any adjustments to awards performed by FEMA Finance Center or US Treasury. Contact email: FEMA-Recovery-Geo@fema.dhs.gov
    6
    last week
  • Total IA Applicants Aggregated to 5KM USNG (Apps > 10)
    Individual Assistance Applicant, Eligibility Obligations and Inspections aggregated to USNG 1km and 5km grids. Data is updated every morning at 3am. Approved amounts are not reflective of any adjustments to awards performed by FEMA Finance Center or US Treasury. Contact email: FEMA-Recovery-Geo@fema.dhs.gov
    6
    last week
  • Total IA Applicants Aggregated to 1KM USNG (Apps > 10)
    Individual Assistance Applicant, Eligibility Obligations and Inspections aggregated to USNG 1km and 5km grids. Data is updated every morning at 3am. Approved amounts are not reflective of any adjustments to awards performed by FEMA Finance Center or US Treasury. Contact email: FEMA-Recovery-Geo@fema.dhs.gov
    6
    last week
  • Individual Assistance Applicants
    Individual Assistance Applicant, Eligibility Obligations and Inspections aggregated to USNG 1km and 5km grids. Data is updated every morning at 3am. Approved amounts are not reflective of any adjustments to awards performed by FEMA Finance Center or US Treasury. Contact email: FEMA-Recovery-Geo@fema.dhs.gov
    2
    last week
  • FEMA Regions
    The Regional HQ’s layer represents the regional headquarters main office locations and the geographic boundaries of each region. FEMA’s Regional Headquarters Offices manage, operate and maintain all delegated programs, functions and activities not managed, operated or maintained by FEMA’s headquarters organizational units. The FEMA Regional Offices serve as the primary organizational unit for liaison to states and local governments as well as non-governmental and private sector entities within each Regional Office's geographic area. Contact email: FEMA-MACMAPS@fema.dhs.gov
    7
    last week
  • State Outlines
    The Regional HQ’s layer represents the regional headquarters main office locations and the geographic boundaries of each region. FEMA’s Regional Headquarters Offices manage, operate and maintain all delegated programs, functions and activities not managed, operated or maintained by FEMA’s headquarters organizational units. The FEMA Regional Offices serve as the primary organizational unit for liaison to states and local governments as well as non-governmental and private sector entities within each Regional Office's geographic area. Contact email: FEMA-MACMAPS@fema.dhs.gov
    7
    last week
  • FEMA Regional Offices
    The Regional HQ’s layer represents the regional headquarters main office locations and the geographic boundaries of each region. FEMA’s Regional Headquarters Offices manage, operate and maintain all delegated programs, functions and activities not managed, operated or maintained by FEMA’s headquarters organizational units. The FEMA Regional Offices serve as the primary organizational unit for liaison to states and local governments as well as non-governmental and private sector entities within each Regional Office's geographic area. Contact email: FEMA-MACMAPS@fema.dhs.gov
    7
    last week
  • FEMA’s Regional Headquarters
    The Regional HQ’s layer represents the regional headquarters main office locations and the geographic boundaries of each region. FEMA’s Regional Headquarters Offices manage, operate and maintain all delegated programs, functions and activities not managed, operated or maintained by FEMA’s headquarters organizational units. The FEMA Regional Offices serve as the primary organizational unit for liaison to states and local governments as well as non-governmental and private sector entities within each Regional Office's geographic area. Contact email: FEMA-MACMAPS@fema.dhs.gov
    3
    last week
  • Historical Disaster Declarations
    Historic Disaster Declarations from 1964 to January 2016. For more information, please contact FEMA-GISMAPS@fema.gov
    2
    last week
  • Archive - Closed DRC Locations
    This map displays the active Disaster Recovery Centers. The data is from the DRC Manager program and is updated every hour. Contact email: FEMA-GISMAPS@fema.gov
    6
    last week
  • Open DRC
    This map displays the active Disaster Recovery Centers. The data is from the DRC Manager program and is updated every hour. Contact email: FEMA-GISMAPS@fema.gov
    6
    last week
  • Disaster Recovery Centers
    This map displays the active Disaster Recovery Centers. The data is from the DRC Manager program and is updated every hour. Contact email: FEMA-GISMAPS@fema.gov
    2
    last week
  • {{name}}
    {{description}}
    1
    last week
  • ModeledCountyImpacts NebraskaIowa Dashboard
    {{description}}
    1
    last week
  • FloodEarlyWarning Dashboard
    {{description}}
    1
    last week
  • Flooding Landslide Exposure App
    {{description}}
    2
    last week
  • Hurricane Wind Impacts Call Volume Dashboard
    {{description}}
    1
    last week
  • Hurricane Call Volume Overlay Dashboard
    {{description}}
    1
    last week
  • Building Damage for Irma
    {{description}}
    2
    last week
  • Building Damage for Harvey
    {{description}}
    2
    last week
  • Active Fire Extents
    Web service updating every 6 hours with the latest active fire perimeter from GeoMAC. Enriched with CoreLogic residential parcel counts and census demographics. Parcel data is processed before aggregation up to the active fire extents in order to best represent structure count using the following steps: Residential parcels only (no commercial, agricultural, vacant, industrial parcels)Water mask to remove parcels within open water (lakes, oceans, rivers)Duplicate APN’s (Assessor’s Parcel Number) are removed. Sometimes there can be duplicate parcels over a single lot or structure with the same APN number, which skews the exposure count if not taken into account in processing. Data Sources GeoMACGeoMAC Wildfire Active Perimeters CoreLogic National Parcel Dataset Access & Use Information Public: This dataset is intended for public access and use. Downloads & Resources Map Service Feature Service
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    last week
  • DR-4761-NH
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4762-VT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4763-Wrangell Cooperative Association
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4764-ME
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4765-RI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4766-RI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4767-AK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4768-OR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4769-CA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4770-VT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4851-WV
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4771-NH
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4772-Morongo Band of Mission Indians
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4773-Hoopa Valley Tribe, California
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4774-KS
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4775-WA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4776-OK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4777-OH
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4778-NE
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4779-IA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4780-MA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4852-ND
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4781-TX
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4782-KY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4783-WV
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4784-IA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4785-ME
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4786-NE
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4787-WV
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4788-AR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4789-ID
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4790-MS
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4853-Native Village of Kipnuk:IR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4791-OK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4792-TN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4793-HI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4794-FL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4795-NM
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4796-IA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4797-MN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4798-TX
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4799-NH
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4800-KS
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4854-OR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4801-Rocky Boy's Reservation
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4802-Chickasaw Nation, Oklahoma
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4803-MO
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4804-KY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4805-PR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4806-FL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4807-SD
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4808-NE
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4809-Santa Clara Pueblo
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4810-VT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4855-MO
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4811-KS
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4812-NH
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4813-MT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4814-NY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4815-PA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4816-VT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4817-LA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4818-St. Regis Band of Mohawk Indians of New York
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4819-IL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4911-San Carlos Apache Tribe of the San Carlos Reservation, Arizona:IR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4916-DE
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4915-Crow Tribe of Montana:IR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4913-KY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4820-CT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4856-CA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4912-Native Village of Kipnuk:IR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4914-Assiniboine and Sioux Tribes of the Fort Peck Indian Reservation, Montana:IR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3646-CA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4910-MP
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4909-HI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4908-SC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4907-OR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4906-WA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4866-OK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4873-AR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4865-AR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4864-KY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4863-VA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4827-NC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3627-AR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3626-KY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3625-TN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4862-OK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4861-WV
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4860-KY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3624-KY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3527-LA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3532-PR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3533-FL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4828-FL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3537-PR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3543-LA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4905-ID
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3574-LA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3578-Shawnee
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3579-Kickapoo Tribe of Oklahoma
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3586-NC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3588-Seminole Tribe of Florida
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3589-NY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3590-NY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3592-CA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4829-SC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3593-MP
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3594-GU
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3595-VT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3596-FL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3597-SC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3598-ME
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3599-MA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3600-LA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3601-GU
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3602-MP
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4830-GA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4904-AK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4857-Native Village of Kwigillingok:IR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3603-VI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3604-Mashantucket Pequot Tribe of Connecticut
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3605-FL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3606-SC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3607-GA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3608-NC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3609-VT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3610-PR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3611-VI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3612-CT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4831-VA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3613-NY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3614-LA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3615-FL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3616-GA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3617-NC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3618-AL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3619-SC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3620-TN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4821-GA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3621-VA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3622-FL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4832-TN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3623-Seminole Tribe of Florida:IR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • Emergency Declarations
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4480-NY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4481-WA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4482-CA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4483-IA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4484-LA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4485-TX
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4486-FL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4833-San Carlos Apache Tribe of the San Carlos Reservation, Arizona:IR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4487-NC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4488-NJ
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4489-IL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4490-MO
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4491-MD
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4492-SC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4493-PR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4903-SD
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4494-MI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4495-GU
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4496-MA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4834-FL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4497-KY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4498-CO
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4499-OR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4500-CT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4501-GA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4502-DC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4503-AL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4504-KS
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4505-RI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4506-PA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4835-SC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4507-OH
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4508-MT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4509-ND
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4510-HI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4511-MP
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4512-VA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4902-MT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4513-VI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4514-TN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4515-IN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4516-NH
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4836-AK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4517-WV
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4518-AR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4520-WI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4521-NE
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4522-ME
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4523-NV
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4524-AZ
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4525-UT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4526-DE
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4527-SD
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4837-NC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4528-MS
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4529-NM
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4530-OK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4901-MT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4531-MN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4532-VT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4533-AK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4534-ID
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4535-WY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4537-AS
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4539-WA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4838-NE
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4545-Seminole Tribe of Florida
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4560-PR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4562-OR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4582-Navajo Reservation
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4584-WA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4591-Poarch Band of Creek Indians of Alabama
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4610-CA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4611-LA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4617-NC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4619-CA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4839-NY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4620-AZ
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3645-MP
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4622-NH
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4624-NH
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4630-KY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4631-Confederated Tribes of the Colville Reservation, Washington
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4635-WA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4639-HI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4643-KY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4646-AK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4647-ME
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4840-Havasupai Tribe of the Havasupai Reservation, Arizona:IR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4858-SC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4648-AK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4650-Skokomish Indian Tribe of the Skokomish Reservation, Washington
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4652-NM
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4658-MN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4659-Red Lake Band of Chippewa Indians
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4660-ND
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4661-AK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4663-KY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4666-MN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3644-GU
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4667-AK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4841-VI
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4669-AS
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4671-PR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4672-AK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4673-Seminole Tribe of Florida
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4674-VA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4676-IL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4677-SC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4678-WV
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4679-WV
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4680-FL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4842-Cheyenne River Sioux Tribe of the Cheyenne River Reservation, South Dakota:IR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4681-Havasupai Tribe of the Havasupai Reservation, Arizona
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4682-WA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4683-CA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4684-AL
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4685-GA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4686-ND
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4687-Rosebud Sioux Tribe of the Rosebud Indian Reservation, South Dakota
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • EM-3643-DC
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4688-Oglala Sioux Tribe of the Pine Ridge Reservation, South Dakota
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4689-SD
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4690-Muscogee (Creek) Nation, Oklahoma
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4843-NM
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4691-TN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4692-Bear River Band of the Rohnerville Rancheria of California
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4693-NH
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4694-NY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4695-VT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4696-ME
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4697-MS
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4698-AR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4699-CA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4700-AR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4844-Seminole Tribe of Florida:IR
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4701-TN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4702-KY
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4703-Navajo Nation
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4704-IN
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4705-TX
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4706-OK
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4900-LA
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • DR-4899-MS
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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  • DR-4823-Confederated Tribes and Bands of the Yakama Indian Nation of the Yakama Reservation, Washington
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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  • DR-4716-MP
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    6
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    Abstract: The imagery posted on this site was acquired following Hurricane Laura in August 2020. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS).Purpose: This imagery was acquired by the NOAA Remote Sensing Division to support NOAA national security and emergency response requirements. This rapid response product was generated for use by emergency managers for visual analysis of damage in the area. It is not intended for mapping, charting or navigation. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery.Supplemental Information: The ground sample distance (GSD) for each pixel is 30 cm. In an effort to acquire imagery in a timely manner after the event, clouds may be present in the imagery. Be advised that the Bounding Coordinates reflect the extents of the images acquired for this event and do not imply full image coverage of the area.
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  • Hurricane Laura - NOAA Imagery Tile Post Event (20200805a RGB)
    Abstract: The imagery posted on this site was acquired following Hurricane Laura in August 2020. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS).Purpose: This imagery was acquired by the NOAA Remote Sensing Division to support NOAA national security and emergency response requirements. This rapid response product was generated for use by emergency managers for visual analysis of damage in the area. It is not intended for mapping, charting or navigation. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery.Supplemental Information: The ground sample distance (GSD) for each pixel is 30 cm. In an effort to acquire imagery in a timely manner after the event, clouds may be present in the imagery. Be advised that the Bounding Coordinates reflect the extents of the images acquired for this event and do not imply full image coverage of the area.
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  • Hurricane Laura - NOAA Imagery Tile Post Event (20200828b RGB)
    Abstract: The imagery posted on this site was acquired following Hurricane Laura in August 2020. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS).Purpose: This imagery was acquired by the NOAA Remote Sensing Division to support NOAA national security and emergency response requirements. This rapid response product was generated for use by emergency managers for visual analysis of damage in the area. It is not intended for mapping, charting or navigation. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery.Supplemental Information: The ground sample distance (GSD) for each pixel is 30 cm. In an effort to acquire imagery in a timely manner after the event, clouds may be present in the imagery. Be advised that the Bounding Coordinates reflect the extents of the images acquired for this event and do not imply full image coverage of the area.
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    Abstract: The imagery posted on this site was acquired following Hurricane Laura in August 2020. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS).Purpose: This imagery was acquired by the NOAA Remote Sensing Division to support NOAA national security and emergency response requirements. This rapid response product was generated for use by emergency managers for visual analysis of damage in the area. It is not intended for mapping, charting or navigation. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery.Supplemental Information: The ground sample distance (GSD) for each pixel is 30 cm. In an effort to acquire imagery in a timely manner after the event, clouds may be present in the imagery. Be advised that the Bounding Coordinates reflect the extents of the images acquired for this event and do not imply full image coverage of the area.
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  • Hurricane Laura - NOAA Imagery Tile Post Event (20200830a RGB)
    Abstract: The imagery posted on this site was acquired following Hurricane Laura in August 2020. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS).Purpose: This imagery was acquired by the NOAA Remote Sensing Division to support NOAA national security and emergency response requirements. This rapid response product was generated for use by emergency managers for visual analysis of damage in the area. It is not intended for mapping, charting or navigation. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery.Supplemental Information: The ground sample distance (GSD) for each pixel is 30 cm. In an effort to acquire imagery in a timely manner after the event, clouds may be present in the imagery. Be advised that the Bounding Coordinates reflect the extents of the images acquired for this event and do not imply full image coverage of the area.
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  • Hurricane Laura - NOAA Imagery Tile Post Event (20200830b RGB)
    Abstract: The imagery posted on this site was acquired following Hurricane Laura in August 2020. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS).Purpose: This imagery was acquired by the NOAA Remote Sensing Division to support NOAA national security and emergency response requirements. This rapid response product was generated for use by emergency managers for visual analysis of damage in the area. It is not intended for mapping, charting or navigation. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery.Supplemental Information: The ground sample distance (GSD) for each pixel is 30 cm. In an effort to acquire imagery in a timely manner after the event, clouds may be present in the imagery. Be advised that the Bounding Coordinates reflect the extents of the images acquired for this event and do not imply full image coverage of the area.
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    Abstract: The imagery posted on this site was acquired following Hurricane Laura in August 2020. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS).Purpose: This imagery was acquired by the NOAA Remote Sensing Division to support NOAA national security and emergency response requirements. This rapid response product was generated for use by emergency managers for visual analysis of damage in the area. It is not intended for mapping, charting or navigation. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery.Supplemental Information: The ground sample distance (GSD) for each pixel is 30 cm. In an effort to acquire imagery in a timely manner after the event, clouds may be present in the imagery. Be advised that the Bounding Coordinates reflect the extents of the images acquired for this event and do not imply full image coverage of the area.
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    Summary: The Multi-angle Imaging SpectroRadiometer (MISR) team at NASA's Jet Propulsion Laboratory and California Institute of Technology in Pasadena, California, captured cloud-top height data for Hurricane Laura, derived from data acquired by the MISR instrument, on board the NASA Terra satellite, on August 25, 2020. MISR carries nine fixed cameras, each of which views a scene from different angles over a period of about seven minutes. The angular parallax of the clouds between different views is used to derive the height of the cloud tops.The data was processed further in collaboration with the Esri 3D Team to show the cloud-top height in 3D and allow viewers to explore the storm more interactively.Note that some spikes in height may be data anomalies. Suggested Use: The cloud-top height data can be used to examine the structure of Hurricane Laura. For example, the MISR cloud-top height data can highlight vortical hot towers, which are indicators of rapid intensification in the eyewalls of hurricanes. These are the non-wind-corrected heights from the MISR cloud product, which provide much greater coverage over the storm than MISR’s wind-corrected heights; however, the absolute altitudes of the clouds are slightly less accurate because cloud true motion between camera observations is not accounted for. There may be some slightly negative heights as well for the same reason. Please note that the MISR Cloud algorithm retrieves the altitude of the top surface of the clouds and does not provide information about the thickness of clouds or their vertical extent. In the case of multiple cloud layers at different altitudes, the MISR algorithm tends to disregard thin high-altitude cirrus and retrieve the top height of the thickest clouds. Satellite/Sensor: Terra/Multi-angle Imaging SpectroRadiometer Resolution: 1.1 kilometers x 1.1 kilometers horizontal, 250 meters verticalCredits: NASA/GSFC/LaRC/JPL-Caltech, MISR Team, Esri 3D Team These data were captured during Terra orbit 110024. MISR was built and is managed by NASA's Jet Propulsion Laboratory, for NASA's Science Mission Directorate, Washington, D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, Maryland. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center, Hampton, Virginia. JPL is a division of the California Institute of Technology.
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  • Satellite Derived Flood Extents and Imagery - Hurricane Laura 2020
    PNNL Flood Extent Pacific Northwest National Laboratory modeled flood extents based on the Missouri River using USGS observed gauges and APHS forecast gauges. Credit: Pacific Northwest National Laboratory National Risk Management Center, NPPD Sentinel 1 - RGB Composite Flood MapThe Alaska Satellite Facility developed a false color Red, Green, Blue (RGB) composite image of the Sentinel-1A/B Synthetic Aperture Radar (SAR) instrument which assigns the co- and cross-polarization information to a channel in the RGB composite. When used to support a flooding event, areas in blue denotes water present at the time of the satellite overpass before or after the start of the flooding event.Usage: In this image, water appears in blue, vegetated areas in shades of green and urban areas in bright orange. It is recommended to use this product with ancillary information to derive flooded areas. Sensor: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel 1 A/B satellite; 30 m resolutionCredits: Copernicus Sentinel data (2019), processed by ESA, Alaska Satellite Facility, and NASA Marshal Space Flight Center.Sentinel 1 - Water Extent MapUsing data collected from the European Space Agency (ESA) Sentinel - 1A/B satellites, scientists at NASA's Marshall Space Flight Center ( MSFC) are able to create maps of the extent of water in the aftermath of the flooding in the Midwest United States. The synthetic aperture radar (SAR) abroad Sentinel-1A/B allows for the detection of water on the surface when clouds are present as well as during the night time hours.Usage: This product shows three areas: known reference water (blue), anomalous water identified outside the known reference water areas (red), and water detected in known wetlands or barren land (tan). This product can be used to perform a change analysis due to the flooding.Sensor: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel 1 A/B satellite; 30 m resolutionCredits: Copernicus Sentinel data (2019), processed by ESA, Alaska Satellite Facility, and NASA Marshal Space Flight Center.Sentinel 2 - Natural Color RGBThe Natural Color RB provides a false composite look at the surface. This RGB uses a shortwave, the near-infrared, and red channels from the instrument.Usage: Areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta, snow will appear as a bright blue/cyan, and bare soils being multicolor dependent on their makeup.Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentienl-2A/B satellite; 20m resolution.Credits: NASA/MSFC, USGS, ESA Copernicus.Sentinel 2 - Modified Normalized Difference Water Index (mNDWI)Modified Normalized Difference Water Index (MNDWI)provides a different view of the EArth's surface combining different bands to make water bodies more obvious. This index can be used to identify flooded areas as well as heavily saturated areas.Usage: Areas of existing water, such as rivers or lakes appear in the darkest green with high values near 1, while dry land appears in the darkest brown with low values near -1. This product can be used to identify potentially flooded areas that can be seen in varying shades of green and light brown depending on the amount of moisture picked up by the satellite.Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/B satellite; 20m resolution.Credits: NASA/MSFC, USGS, ESA CopernicusSentinel 2 - Water Extent Map Using data collected from the European Space Agency's (ESA) Sentinel-2 satellite, scientist at NASA's Marshal Space Flight Center (MSFC) are able to create maps of the extent of water in the aftermath of the flooding the Central United StatesUsage: This product shows four areas: known reference water (blue), anomalous water identified outside the known reference water areas (red), and water detected in known wetlands or barren land (tan), and clouds (grat).Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/B satellite; 20m resolution.Credits: NASA/MSFC, USGS, ESA CopernicusLandsat 8 Natural Color RGBThe Natural Color RGB provides a false composite look at the surface. 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    MISSIONTo promote public awareness of the danger of human caused wildfires on Montana’s ecosystems, communities, and natural resources; and to enlist active support in fire prevention and protection efforts. VISIONKeep Montana Green envisions Montana as the preeminent fire adapted state in the nation. We strive for every student, citizen, business, and tourist in Montana to actively engage in human caused wildfire prevention and protection.HISTORYSince Keep Montana Green’s (KMG) formation at the end of World War II, we have been dedicated to the prevention of human-caused wildfires. KMG was formed in 1945, chartered as a tax-exempt nonprofit organization in 1961, and is governed by a Board of Directors representative of its membership. KMG maintains active public education and media programs focused on the prevention of wildfires in Montana.
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  • Hurricane Hazus Wind Results Viewer for the 2020 Hurricane Season
    Hazus wind loss estimates are presented for the 2020 Hurricane season, including Hurricane Sally, Hurricane Laura, Hurricane Isaias, and Hurricane Delta. Results show modeled wind loss estimates based on predicted wind speed probabilities from NHC Advisorys. (see NOAA NHC for more information).  The assessment considers only wind speeds greater than 50 mph.For more information about the Hazus program, please visit the Hazus home page.
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  • Volcano Information App
    This interactive map shows currently active, global volcanoes and recent eruptions.  It shows information from the Smithsonian Institute Weekly Volcano Report and USGS. 
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  • County Evacuation Apps
    Esri does not maintain or create any of these applications. This is purely a list of available maps that have been shared with us during evacuation events. This list is being contributed to by several entities.Please refer to your local law enforcement agency for specific evacuation information.
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  • Plume Height (MISR) on 8/24/20 for the California Fires 2020
    Date of Image: 8/24/2020 Date of Next Image: Unknown Summary: The Multi-angle Imaging SpectroRadiometer (MISR) team at NASA's Jet Propulsion Laboratory and the California Institute of Technology in Pasadena, California, provided this map of wildfire smoke plume heights for several wildfires in California, derived from data acquired by the MISR instrument, on board the NASA Terra satellite, on August 24, 2020. MISR carries nine fixed cameras, each of which views a scene from different angles over a period of about seven minutes. After accounting for true motion of the clouds due to wind, the angular parallax of the clouds between different views is used to derive the height of the smoke plumes. Suggested Use: These data contain plume height information for the CZU Lightning Complex, LNU Lightning Complex, and SCU Lightning Complex Fires as observed by MISR at approximately 12:10 pm local time on August 24, 2020. Plume height gives an indication of fire intensity and indicates whether the smoke is impacting air quality at ground-level. Observations of plume height are also important as an input to air quality models that predict where the smoke will go, and who it might affect downwind. The MISR plume heights in this map were produced using the MISR Interactive eXplorer (MINX) software. The plume point heights are exaggerated 5x to better show structure of the plumes. True height values are available in the attributes of each point. Satellite/Sensor: Terra/Multi-angle Imaging SpectroRadiometer Resolution: 1.1 kilometers horizontal resolution Credits: These data were captured during Terra orbit 110026. The smoke plume height calculation was performed using the MISR INteractive eXplorer (MINX) software tool, which is publicly available at https://github.com/nasa/MINX. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, California, for NASA's Science Mission Directorate, Washington, D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, Maryland. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center, Hampton, Virginia. JPL is a division of the California Institute of Technology in Pasadena.
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  • Cal-EMAPS - Fire SA Dashboard App
    The primary audience for the Fire Situation Awareness tabbed map is Cal OES response personnel and local, tribal, state and federal supporting partners. The contributing data are from various sources including the California State Warning Center’s Daily Operations Report, CAL FIRE, ICS-209s, National Oceanic and Atmospheric Administration (NOAA), and the National Weather Service (NWS). Additional information may be added or removed during active response operations to meet the immediate needs of the State Operations Center and Cal OES regional staff.
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  • Exaggerated (5x) Plume Height (MISR) on 8/24/20 for the California Fires 2020
    Date of Image: 8/24/2020 Date of Next Image: Unknown Summary: The Multi-angle Imaging SpectroRadiometer (MISR) team at NASA's Jet Propulsion Laboratory and the California Institute of Technology in Pasadena, California, provided this map of wildfire smoke plume heights for several wildfires in California, derived from data acquired by the MISR instrument, on board the NASA Terra satellite, on August 24, 2020. MISR carries nine fixed cameras, each of which views a scene from different angles over a period of about seven minutes. After accounting for true motion of the clouds due to wind, the angular parallax of the clouds between different views is used to derive the height of the smoke plumes. Suggested Use: These data contain plume height information for the CZU Lightning Complex, LNU Lightning Complex, and SCU Lightning Complex Fires as observed by MISR at approximately 12:10 pm local time on August 24, 2020. Plume height gives an indication of fire intensity and indicates whether the smoke is impacting air quality at ground-level. Observations of plume height are also important as an input to air quality models that predict where the smoke will go, and who it might affect downwind. The MISR plume heights in this map were produced using the MISR Interactive eXplorer (MINX) software. The plume point heights are exaggerated 5x to better show structure of the plumes. True height values are available in the attributes of each point. Satellite/Sensor: Terra/Multi-angle Imaging SpectroRadiometer Resolution: 1.1 kilometers horizontal resolution Credits: These data were captured during Terra orbit 110026. The smoke plume height calculation was performed using the MISR INteractive eXplorer (MINX) software tool, which is publicly available at https://github.com/nasa/MINX. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, California, for NASA's Science Mission Directorate, Washington, D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, Maryland. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center, Hampton, Virginia. JPL is a division of the California Institute of Technology in Pasadena.
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  • Plume Height (MISR) on 8/24/20 for the California Fires 2020
    Date of Image: 8/24/2020 Date of Next Image: Unknown Summary: The Multi-angle Imaging SpectroRadiometer (MISR) team at NASA's Jet Propulsion Laboratory and the California Institute of Technology in Pasadena, California, provided this map of wildfire smoke plume heights for several wildfires in California, derived from data acquired by the MISR instrument, on board the NASA Terra satellite, on August 24, 2020. MISR carries nine fixed cameras, each of which views a scene from different angles over a period of about seven minutes. After accounting for true motion of the clouds due to wind, the angular parallax of the clouds between different views is used to derive the height of the smoke plumes. Suggested Use: These data contain plume height information for the CZU Lightning Complex, LNU Lightning Complex, and SCU Lightning Complex Fires as observed by MISR at approximately 12:10 pm local time on August 24, 2020. Plume height gives an indication of fire intensity and indicates whether the smoke is impacting air quality at ground-level. Observations of plume height are also important as an input to air quality models that predict where the smoke will go, and who it might affect downwind. The MISR plume heights in this map were produced using the MISR Interactive eXplorer (MINX) software. Satellite/Sensor: Terra/Multi-angle Imaging SpectroRadiometer Resolution: 1.1 kilometers horizontal resolution Credits: These data were captured during Terra orbit 110026. The smoke plume height calculation was performed using the MISR INteractive eXplorer (MINX) software tool, which is publicly available at https://github.com/nasa/MINX. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, California, for NASA's Science Mission Directorate, Washington, D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, Maryland. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center, Hampton, Virginia. JPL is a division of the California Institute of Technology in Pasadena.
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  • Hurricane Logistics - Wind Impacts Dashboard
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  • Hurricane Wind Population Impacts Dashboard
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  • Hurricane Logistics - Surge Impacts Dashboard
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  • CEDR Shelter Map (Public)
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  • Clearwater Watershed, Idaho - Wildfire Risk Assessment (2020.08.31) - Tile Service
    The Clearwater Watershed, Idaho Wildfire Risk Assessment (2020.08.31) Feature Service provides an overview of wildfire risk to human habitation, communication infrastructure, and public water systems within and adjacent to the Clearwater sub-basin. The assessment was conducted to identify and quantify the risks posed by wildfire (i.e., unplanned ignitions; NWCG 2010) to these three highly valued resources and assets (HVRAs) in support of the Federal Emergency Management Agency (FEMA), Risk Mapping, Assessment, and Planning (Risk MAP) program.
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  • The Road Forward From Irene
    2021 marks the 10th anniversary of Tropical Storm Irene which caused severe flooding across many parts of New England in August 2011, including New Hampshire. Major damage to homes and businesses, roads and infrastructure, and the natural environment occurred across our state as a result of the high winds and flooding caused by the storm.In the aftermath of the storm, the importance of a coordinated effort among state and federal agencies to effectively respond to the unprecedented amount of recovery and repair work became clear. As a result, the inter-agency Post-Irene River Response Team (PIRRT) was formed to coordinate activities. PIRRT later evolved into the NH Silver Jackets team, the state-led inter-agency team focused on flood risk management activities in New Hampshire today.Learn more about the impacts of Irene in the state, the formation of PIRRT, and the NH Silver Jackets team in this interactive story map that commemorates these two anniversaries.
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  • National Flood Hazard Layer - New Hampshire
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  • Tier 2 - Elevated
    In 2012, the CPUC ordered the development of a statewide map that is designed specifically for the purpose of identifying areas where there is an increased risk for utility associated wildfires.  The development of the CPUC -sponsored fire-threat map, herein "CPUC Fire-Threat Map," started in R.08-11-005 and continued in R.15-05-006. A multistep process was used to develop the statewide CPUC Fire-Threat Map. The first step was to develop Fire Map 1 (FM 1), an agnostic map which depicts areas of California where there is an elevated hazard for the ignition and rapid spread of powerline fires due to strong winds, abundant dry vegetation, and other environmental conditions.  These are the environmental conditions associated with the catastrophic powerline fires that burned 334 square miles of Southern California in October 2007.  FM 1 was developed by CAL FIRE and adopted by the CPUC in Decision 16-05-036.FM 1 served as the foundation for the development of the final CPUC Fire-Threat Map.  The CPUC Fire-Threat Map delineates, in part, the boundaries of a new High Fire-Threat District (HFTD) where utility infrastructure and operations will be subject to stricter fire‑safety regulations.  Importantly, the CPUC Fire-Threat Map (1) incorporates the fire hazards associated with historical powerline wildfires besides the October 2007 fires in Southern California (e.g., the Butte Fire that burned 71,000 acres in Amador and Calaveras Counties in September 2015), and (2) ranks fire-threat areas based on the risks that utility-associated wildfires pose to people and property. Primary responsibility for the development of the CPUC Fire-Threat Map was delegated to a group of utility mapping experts known as the Peer Development Panel (PDP), with oversight from a team of independent experts known as the Independent Review Team (IRT).  The members of the IRT were selected by CAL FIRE and CAL FIRE served as the Chair of the IRT.  The development of CPUC Fire-Threat Map includes input from many stakeholders, including investor-owned and publicly owned electric utilities, communications infrastructure providers, public interest groups, and local public safety agencies. The PDP served a draft statewide CPUC Fire-Threat Map on July 31, 2017, which was subsequently reviewed by the IRT.  On October 2 and October 5, 2017, the PDP filed an Initial CPUC Fire-Threat Map that reflected the results of the IRT's review through September 25, 2017.  The final IRT-approved CPUC Fire-Threat Map was filed on November 17, 2017.  On November 21, 2017, SED filed on behalf of the IRT a summary report detailing the production of the CPUC Fire-Threat Map(referenced at the time as Fire Map 2). Interested parties were provided opportunity to submit alternate maps, written comments on the IRT-approved map and alternate maps (if any), and motions for Evidentiary Hearings.  No motions for Evidentiary Hearings or alternate map proposals were received.  As such, on January 19, 2018 the CPUC adopted, via Safety and Enforcement Division's (SED) disposition of a Tier 1 Advice Letter, the final CPUC Fire-Threat Map.Additional information can be found here.
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  • Tier 3 - Extreme
    In 2012, the CPUC ordered the development of a statewide map that is designed specifically for the purpose of identifying areas where there is an increased risk for utility associated wildfires.  The development of the CPUC -sponsored fire-threat map, herein "CPUC Fire-Threat Map," started in R.08-11-005 and continued in R.15-05-006. A multistep process was used to develop the statewide CPUC Fire-Threat Map. The first step was to develop Fire Map 1 (FM 1), an agnostic map which depicts areas of California where there is an elevated hazard for the ignition and rapid spread of powerline fires due to strong winds, abundant dry vegetation, and other environmental conditions.  These are the environmental conditions associated with the catastrophic powerline fires that burned 334 square miles of Southern California in October 2007.  FM 1 was developed by CAL FIRE and adopted by the CPUC in Decision 16-05-036.FM 1 served as the foundation for the development of the final CPUC Fire-Threat Map.  The CPUC Fire-Threat Map delineates, in part, the boundaries of a new High Fire-Threat District (HFTD) where utility infrastructure and operations will be subject to stricter fire‑safety regulations.  Importantly, the CPUC Fire-Threat Map (1) incorporates the fire hazards associated with historical powerline wildfires besides the October 2007 fires in Southern California (e.g., the Butte Fire that burned 71,000 acres in Amador and Calaveras Counties in September 2015), and (2) ranks fire-threat areas based on the risks that utility-associated wildfires pose to people and property. Primary responsibility for the development of the CPUC Fire-Threat Map was delegated to a group of utility mapping experts known as the Peer Development Panel (PDP), with oversight from a team of independent experts known as the Independent Review Team (IRT).  The members of the IRT were selected by CAL FIRE and CAL FIRE served as the Chair of the IRT.  The development of CPUC Fire-Threat Map includes input from many stakeholders, including investor-owned and publicly owned electric utilities, communications infrastructure providers, public interest groups, and local public safety agencies. The PDP served a draft statewide CPUC Fire-Threat Map on July 31, 2017, which was subsequently reviewed by the IRT.  On October 2 and October 5, 2017, the PDP filed an Initial CPUC Fire-Threat Map that reflected the results of the IRT's review through September 25, 2017.  The final IRT-approved CPUC Fire-Threat Map was filed on November 17, 2017.  On November 21, 2017, SED filed on behalf of the IRT a summary report detailing the production of the CPUC Fire-Threat Map(referenced at the time as Fire Map 2). Interested parties were provided opportunity to submit alternate maps, written comments on the IRT-approved map and alternate maps (if any), and motions for Evidentiary Hearings.  No motions for Evidentiary Hearings or alternate map proposals were received.  As such, on January 19, 2018 the CPUC adopted, via Safety and Enforcement Division's (SED) disposition of a Tier 1 Advice Letter, the final CPUC Fire-Threat Map.Additional information can be found here.
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  • Utilities Fire Threat Areas
    In 2012, the CPUC ordered the development of a statewide map that is designed specifically for the purpose of identifying areas where there is an increased risk for utility associated wildfires.  The development of the CPUC -sponsored fire-threat map, herein "CPUC Fire-Threat Map," started in R.08-11-005 and continued in R.15-05-006. A multistep process was used to develop the statewide CPUC Fire-Threat Map. The first step was to develop Fire Map 1 (FM 1), an agnostic map which depicts areas of California where there is an elevated hazard for the ignition and rapid spread of powerline fires due to strong winds, abundant dry vegetation, and other environmental conditions.  These are the environmental conditions associated with the catastrophic powerline fires that burned 334 square miles of Southern California in October 2007.  FM 1 was developed by CAL FIRE and adopted by the CPUC in Decision 16-05-036.FM 1 served as the foundation for the development of the final CPUC Fire-Threat Map.  The CPUC Fire-Threat Map delineates, in part, the boundaries of a new High Fire-Threat District (HFTD) where utility infrastructure and operations will be subject to stricter fire‑safety regulations.  Importantly, the CPUC Fire-Threat Map (1) incorporates the fire hazards associated with historical powerline wildfires besides the October 2007 fires in Southern California (e.g., the Butte Fire that burned 71,000 acres in Amador and Calaveras Counties in September 2015), and (2) ranks fire-threat areas based on the risks that utility-associated wildfires pose to people and property. Primary responsibility for the development of the CPUC Fire-Threat Map was delegated to a group of utility mapping experts known as the Peer Development Panel (PDP), with oversight from a team of independent experts known as the Independent Review Team (IRT).  The members of the IRT were selected by CAL FIRE and CAL FIRE served as the Chair of the IRT.  The development of CPUC Fire-Threat Map includes input from many stakeholders, including investor-owned and publicly owned electric utilities, communications infrastructure providers, public interest groups, and local public safety agencies. The PDP served a draft statewide CPUC Fire-Threat Map on July 31, 2017, which was subsequently reviewed by the IRT.  On October 2 and October 5, 2017, the PDP filed an Initial CPUC Fire-Threat Map that reflected the results of the IRT's review through September 25, 2017.  The final IRT-approved CPUC Fire-Threat Map was filed on November 17, 2017.  On November 21, 2017, SED filed on behalf of the IRT a summary report detailing the production of the CPUC Fire-Threat Map(referenced at the time as Fire Map 2). Interested parties were provided opportunity to submit alternate maps, written comments on the IRT-approved map and alternate maps (if any), and motions for Evidentiary Hearings.  No motions for Evidentiary Hearings or alternate map proposals were received.  As such, on January 19, 2018 the CPUC adopted, via Safety and Enforcement Division's (SED) disposition of a Tier 1 Advice Letter, the final CPUC Fire-Threat Map.Additional information can be found here.
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  • The New Hampshire Floodplain Management Program
    This story map provides an overview of the New Hampshire Floodplain Management Program. Specific maps featured include:NH communities that participate in the National Flood Insurance Program (NFIP)NH communities that have adopted standards into their floodplain management ordinances that go beyond minimum NFIP regulatory standardsFEMA Risk MAP flood mapping projects that are underway in the state
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  • National Flood Hazard Layer (NFHL) of New Jersey
    This FEMA layer is used by NJDEP in an ArcGIS Online web mapping application. The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
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  • DR-4881-OR
    An overview of all current federally declared disaster counties in the country.
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  • Tropical Storm Watches and Warnings (Hurricane Hub Dashboard)
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  • Hurricane Data Catalog
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  • Tornado Data Catalog
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  • Wildfire Data Catalog
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  • Lifeline Data Catalog
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  • Hub Data Catalog
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  • Motion of Tectonic Plates
    This story map tells the tale of Earth’s tectonic plates, their secret conspiracies, awe-inspiring exhibitions and subtle impacts on the maps and geospatial information we so often take for granted as unambiguous. But is it? We recommend you journey through this map on the trail we’ve manicured on the left. You will find yourself hovering over the Mid-Atlantic Ridge or swimming in magma deep within the Earth’s core. Have fun and we hope your voyage is fruitful!
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  • Additional Data Catalog
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  • Flooding Data Catalog
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  • Hurricane and Cyclone Information
    This map is intended to provide general awareness of current and recent tropical weather around the world.  It is not intended to replace authoritative government websites but rather to provide situational awareness. This map contains Live Feeds from the Living Atlas including - Active Hurricanes, Recent Hurricanes, Weather Warnings and Watches, Short-Term Weather Warnings, and NOAA Colorized Satellite Imagery.  Weather Radar Data is provided courtesy of DTN.  This map is provided by the Esri Disaster Response Program using the Public Information Solution template.  For other hurricane related content and data, please visit the DRP Hub Hurricane Page.
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  • Regional Evacuation Routes
    Regional Evacuation Routes. This dataset contains contains points representing locations of Regional Evacuation Routes, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Files provided by the District Department of Transportation contained DC, beltway, and regional evacuation routes. OCTO merged these layers together to form one layer.
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  • Marshall Fire via Maxar Open Data
    Unprecedented wildfires in Boulder and Jefferson County, Colorado, forced more than 30,000 people to evacuate their homes as strong winds and drought fueled the fires. As of Friday, December 31, 2021, approximately 600 homes were destroyed, as well as a hotel and retail businesses. The towns of Superior and Louisville, about 20 miles northwest of Denver, were evacuated and have been hit the hardest. Wind gusts up to 115 mph caused flames to jump, making it difficult for firefighters to contain the blaze.Imagery provided by Maxar Technologies is a critical component in Esri's support of disaster response. For more information, visit Esri's Disaster Response Program and Maxar's Open Data Program.Satellite image © 2021 Maxar Technologies
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  • #FireMappers Time-Enabled App for Marshall Fire
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  • FEMA Priority Operations Support Tool - POST 2021
    During a disastrous event, first responders must quickly understand the magnitude and the nature of the event to effectively supply aid to impacted citizens and communities. Timely and accurate intelligence about the scope of the event is key for effective and successful response decisions such as deployment of resources, timeliness of rescue operations, containment of hazards and assessment of damage. First deployed by FEMA in 2018, the Priority Operations Support Tool (POST) was developed to address the need for a systematic method to prioritize and manage response and recovery operations during disasters. POST`s layer displays various levels of projected risk and exposure. The predictive model relies on best-available hazard data (e.g., wind speed, surge probability, riverine flooding), the distribution and characteristics of residential structures, population data, and social vulnerability/demographics (extracted from the US Census Bureau of Statistics American Community Survey (ACS)). Risk, exposure, and priority ranks are calculated based on the US National Grid System (USNG) as the unit of analysis, in a spatial resolution of 1km and 5km . First, a Hazard Probability Score (HPS) is calculated for each unit of analysis based on modeled or observed hazard data and weighted by the number of residential parcels within the unit. A high HPS signifies a cell with a relatively high number of residential parcels that are most likely to be severely affected or damaged according to the best-available hazard data. To determine projected impacts on vulnerable population, POST relies on socio-demographic characteristics collected by the ACS (e.g., number of elderly people, unemployment rate, number of people on public assistance or food stamps, number of mobile housing units). These data have been disaggregated from the administrative block group division to the USNG division. POST then calculates a weighted Population Vulnerability Scores (PVS) for each affected USNG cell, which in turn, are translated into disasters operation priority, or risk ranks. High risk ranks are assigned to cells that are (1) most likely to be severely hit and (2) where the most vulnerable population is most likely to be affected. Note: POST layer is updated during national disaster events on an ongoing basis as new hazard data becomes available.  Terms of Use User assumes all risk related to the use of this data.  FEMA provides this data "as is" and disclaims any and all warranties, whether express or implied, including (without limitation) any implied warranties of merchantability or fitness for a particular purpose, and there are no express or implied guarantees of accuracy of the data.  In no event will FEMA or any other Federal Agency be liable to you or to any third party for any direct, indirect, incidental, consequential, special, or exemplary damages or lost profit resulting from any use or misuse of this data.
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  • 2021 Spring Flood Outlook Polygons
    The information presented in this assessment focuses on spring flood potential, using evaluation methods analyzed on the timescale of weeks to months, not days or hours. For detailed hydrologic conditions and forecasts, go to water.weather.gov.
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  • Winter Weather Data Catalog
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  • Police Service Areas
    Metropolitan Police Department (MPD) Police Service Areas (PSA). The dataset contains polygons representing of MPD PSA, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Police jurisdictions were initially created selecting street arcs from the planimetric street centerlines and street polygons, water polygons, real property boundaries and District of Columbia boundaries.2019 Boundary Changes:Periodically, MPD conducts a comprehensive assessment of our patrol boundaries to ensure optimal operations. This effort considers current workload, anticipated population growth, development, and community needs. The overarching goals for the 2019 realignment effort included: optimal availability of police resources, officer safety and wellness, and efficient delivery of police services. These changes took effect on 01/10/2019. On 03/27/2019, this boundary was modified to adjust dispatching of North Capitol Street’s northwest access roads to be more operationally efficient.
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  • Flood Hazard Areas (Only FEMA - digitized data)
    The entire Vermont extent of the National Flood Hazard Layer (NFHL) as acquired 12/15/15 from the FEMA Map Service Center msc.fema.gov upon publication 12/2/2015 and converted to VSP.The FEMA DFIRM NFHL database compiles all available officially-digitized Digital Flood Insurance Rate Maps. This extract from the FEMA Map Service Center includes all of such data in Vermont including counties and a few municipalities. This data includes the most recent map update for Bennington County effective 12/2/2015.DFIRM - Letter of Map Revision (LOMR) DFIRM X-Sections DFIRM Floodways Special Flood Hazard Areas (All Available)
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  • Intermountain West, U.S., 2020 Earthquakes
    The beautiful mountains of Utah, the abundant streams of Idaho, the wide-open expanses of Nevada, the little hamlets of eastern California, and the urban centers next to steep mountain ranges – all part of the Intermountain West (IMW) region of the U.S. The IMW encompasses a large area of the middle western part of the country from the Rocky Mountains to the Sierra Nevada and Cascade Ranges and is approximately bound on the north by the Canadian border and on the south by the Mexican border (shown on map to left inside yellow border). The IMW is a broad zone of east-west extension, meaning the crust is being stretched, so there are predominantly normal faults within the region – except for the western edge, which is a zone of strike-slip faults parallel to the San Andreas fault called the Walker Lane. This broad region of the western U.S. typically has a fair number of small earthquakes each year, but in 2020 there was an unusual amount of seismic activity – four moderate-sized earthquakes (shown as red stars on the map) and their prolific aftershocks occurred in various locations.
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  • Historic First Snow
    These tiles are published and intended for use in the map Historic date of first snow.These base map tiles cover the North American extent and include data which represent the historic date by which there’s a 50% chance at least 0.1” of snow will have accumulated, based on each location’s snowfall history from 1981-2010. Map based on an analysis of the current U.S. Climate Normals by Mike Squires, National Centers for Environmental Information.  White indicates places where there is a year-round chance of snow. Shades of blue and purple show places where the first day of snow historically falls between August 1st and December 31st, while dark gray shows places where, historically, the first snow doesn't take place until January 1st or later. Empty circles showing background gray indicate places where snow is so infrequent that there is not enough data to calculate a statistical first date of snow. While the map shows the historic date of first snow, the actual conditions this year may vary widely from this map because current weather patterns will determine the first snow of the year. For a more detailed assessment of the historic date of first snow, please see this Climate.gov blog post by Deke Arndt, NOAA NCEI scientist. For a broad overview of NOAA's 1981–2010 Climate Normals, see NOAA's 1981-2010 U.S. Climate Normals: An Overview published in the Bulletin of the American Meteorological Society, or for a detailed description of snow Normals, seeNOAA's 1981-2010 U.S. Climate Normals: Monthly Precipitation, Snowfall, and Snow Depth published in the Journal of Applied Meteorology and Climatology.
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  • GHCND earliest first date of snow map
    This tile layer is intended for use in the web map 'Earliest date of first snow of the season for the United States'.This map shows the earliest first day of snow recorded at thousands of locations in the United States during their period of operation. Map based on an analysis of Global Historical Climatology Network (GHCN) station data by Jared Rennie, NOAA's National Centers for Environmental Information (NCEI). Light colors indicates places where the first recorded snowfall happened early in the season, in July or August. Shades of blue and purple show places where the earliest snow fell between between August and May. While the map shows the earliest date of first snow recorded at a given station, this map should not be interpreted as the “earliest ever” first snow of the season. It is simply the earliest date of first snow at a given station during its period of operation. For a more detailed assessment of the earliest date of first snow, please see this Climate.gov blog post. For more information about the Global Historical Climate Network, please visit the GHCN description page. For access to the data, please visit the GHCN data page at NOAA NCEI.
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  • CA Tsunami Hazard Evacuation NonEvacuation Areas
    Produced collectively by geologic hazard mapping scientists, and emergency planning specialists from the California Geological Survey, the California Governor’s Office of Emergency Services, and local agencies, organizations, and other stakeholders. The tsunami hazard evacuation areas were developed for all populated areas at risk to tsunamis in California and are based on the tsunami hazard defined in the Tsunami Inundation Maps for Emergency Planning. While the State assisted in the development of the evacuation areas, local agencies, organizations, and other stakeholders made the final determination on the location and coverage of these evacuation areas as they will be used for evacuation planning at the community level.
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  • Tornado Incident Journal
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  • MWRA MT Communities Core and Zone Separate Summary
    Tabular Summaries- Communities at Risk As part of Montana DNRC’s Montana Wildfire Risk Assessment (MWRA), wildfire risk to homes, commercial buildings, and other structures was assessed across the state. The purpose of this assessment is to identify the counties and communities whose structures are most threatened by wildfire—both on average and in total.  The risk-to-structures methods used for this assessment are identical to the methods used for structures within the overall MWRA project. See earlier section 3.4.1 of the report (page 20) for details. This portion of the report addresses only the tabular summaries. The summary methods used in this section were customized to the MWRA results from similar methods previously developed for the Pacific Northwest Risk Assessment (PNRA) and for the national Wildfire Risk to Communities (WRC) project.   The risk-to-structures results were summarized for four sets of summary polygons:  MT Counties MT Census County Divisions MT Communities (core plus zone combined) MT Communities (core and zone separate)Each set of summary polygons captures nearly all structures in Montana, without overlap. In the MT Counties set, a summary polygon is an individual county (e.g. Ravalli County). In the MT Census County Divisions (CCD) set, a summary polygon is an individual CCD (e.g., the Sula CCD within Ravalli County). In the MT Communities (core plus zone combined) set, a summary polygon is the community core plus the zone surrounding the core (as defined below). In the MT Communities (core and zone separate) set, a summary polygon is either the community core or the zone surrounding the community core. There are 56 counties in Montana. Each Montana county is divided into at least two Census County Divisions (CCDs), with mean of 3.5 CCDs per county (194 CCDs in total) and a maximum of 11 (Flathead county). For this assessment, a community core was defined as a Populated Place Area (PPA) as identified by the U.S. Census Bureau. PPAs include incorporated cities and towns as well as Census Designated Places (CDPs). A CDP is an unincorporated concentration of population—a statistical counterpart to incorporated cities and towns. There are 364 PPAs across Montana. Of those, 127 (35 percent) are incorporated cities or towns, and 235 (65 percent) are CDPs. Two PPAs—Butte-Silver Bow and Anaconda-Deer Lodge—are unique in that they represent the balance of a county that is not otherwise incorporated; they are much larger in size than most PPAs. In the PPA dataset, the CDPs represent the location of highest concentration of population for a community; they do not include the less-densely populated areas surrounding the PPA. We refer to the U.S. Census PPA delineation as the community “core.” Approximately 66 percent of Montana’s total structure importance can be found within these PPA core areas (Figure A.1 of the Montana Wildfire Risk Assessment report). To include the populated area and structures surrounding the PPAs, Ager and others (2019) used a travel-time analysis to delineate the land areas closest by drive-time to each PPA core, up to a maximum of 45 minutes travel time. Approximately 33 percent of Montana’s total structure importance can be found within 45 minutes travel time of the cores. Only 1 percent of the total structure importance is not within 45-minutes travel time of any community core. 
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  • MWRA MT Counties Summary
    Tabular Summaries - Communities at Risk As part of Montana DNRC’s Montana Wildfire Risk Assessment (MWRA), wildfire risk to homes, commercial buildings, and other structures was assessed across the state. The purpose of this assessment is to identify the counties and communities whose structures are most threatened by wildfire—both on average and in total.  The risk-to-structures methods used for this assessment are identical to the methods used for structures within the overall MWRA project. See earlier section 3.4.1 of the report (page 20) for details. This portion of the report addresses only the tabular summaries. The summary methods used in this section were customized to the MWRA results from similar methods previously developed for the Pacific Northwest Risk Assessment (PNRA) and for the national Wildfire Risk to Communities (WRC) project.   Mean Risk to Structures  We calculated the Mean Risk to Structures as the product of Mean Conditional Risk to Structures and Mean Burn Probability (multiplied by 1000 to remove decimal places).  This is the primary variable by which the summary polygons are ranked. Like the components used to calculate it, Mean Risk to Structures is not a cumulative measure for a summary polygon, so it does not necessarily increase as the number or importance of structures increases. It represents the average of the structures in the polygon regardless of the total number or importance of structures.  Total Structure Risk  We calculated Total Structure Risk as the product of Mean Risk to Structures and Total Structure Importance.  This is the secondary variable by which the summary polygons are ranked. Unlike the previous measures, the total importance of structures (their number and mean importance) strongly influences Total Structure Risk.  The risk-to-structures results were summarized for two primary sets of summary polygons:  MT Counties MT Communities Expanded Area Each set of summary polygons captures nearly all structures in Montana, without overlap. In the MT Counties set, a summary polygon is an individual county (e.g. Ravalli County). In the MT Communities (core plus zone combined) set called MT Communities Expanded Area, a summary polygon is the community core plus the zone surrounding the core (as defined below).  Expanded Areas include populated areas outside of official community boundaries that are closer to the selected community than to any other community.  Long definition: Populated areas not within the boundaries of a community were associated with the community to which they were closest, as measured by travel time. Travel time is influenced by road networks, associated travel speeds, and physical barriers such as water. Populated areas greater than 45 minutes travel time from any community are not included within the Expanded Area for any community. For this assessment, a community core was defined as a Populated Place Area (PPA) as identified by the U.S. Census Bureau. PPAs include incorporated cities and towns as well as Census Designated Places (CDPs). A CDP is an unincorporated concentration of population—a statistical counterpart to incorporated cities and towns. There are 364 PPAs across Montana. Of those, 127 (35 percent) are incorporated cities or towns, and 235 (65 percent) are CDPs. Two PPAs—Butte-Silver Bow and Anaconda-Deer Lodge—are unique in that they represent the balance of a county that is not otherwise incorporated; they are much larger in size than most PPAs. In the PPA dataset, the CDPs represent the location of highest concentration of population for a community; they do not include the less-densely populated areas surrounding the PPA. We refer to the U.S. Census PPA delineation as the community “core.” Approximately 66 percent of Montana’s total structure importance can be found within these PPA core areas (Figure A.1 of the Montana Wildfire Risk Assessment report). To include the populated area and structures surrounding the PPAs, Ager and others (2019) used a travel-time analysis to delineate the land areas closest by drive-time to each PPA core, up to a maximum of 45 minutes travel time. Approximately 33 percent of Montana’s total structure importance can be found within 45 minutes travel time of the cores. Only 1 percent of the total structure importance is not within 45-minutes travel time of any community core. 
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  • MWRA MT Communities Core Plus Zone Combined Summary
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  • West Virginia LiDAR
    WVDEP LiDAR data was collected by the Natural Resource Analysis Center at WVU under contract with the West Virginia Department of Environmental Protection, Division of Mining and Reclamation.The data was collected between 04/09/2010 and 12/13/2011 during leaf-off, snow and flood free conditions in the spring and fall.The data format is 1.5x1.5 km LAS v1.2 files in UTM 17 NAD83 (CORS96), NAVD88 (GEOID09). Contractor software initially classified ground returns for comprehensive and bare earth tiles, but did not perform other classifications. The Technical Applications and GIS (TAGIS) unit at the WVDEP performed Quality control checking and error correction on a tile-by-tile basis before creating derived products and edited LAS files.Hardware and flight parameters:Scanner: Optech ALTM-3100Post Spacing (Average): 3.3 ft / 1.0 meterFlying Height (Above Ground Level): 5,000-ft / 1,524 metersAverage Ground Speed: 135 knots (155 MPH)Scanner Pulse Rate Frequency: 70,000 HzScanner Frequency / Field of View: 35 Hz / 36 degrees (18 half angle)Overlap (Average): 30%In-depth metadata is available here, halfway down the page:LiDAR MetadataDownloads also available here:TAGIS LiDAR WebAppTAGIS LiDAR RepositoryLooking for 3DEP LiDAR? (*Not hosted or supported by TAGIS) See here:3DEP Downloads
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  • Geologic Hazards
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  • DEPRECATED - AZ ESF/RSF Operations Dashboard
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  • Wyoming Radar & River Flood Stage Time Aware Map
    This time-aware GIS story map application ingests NWS Radar for looping capabilities for the past 3 hours up to the current radar image. It refreshes every 5 minutes. The application also displays the latest river observations and river forecasts across the United States. The river observations and forecasts refresh internally every 5 minutes. Lastly, when a user zooms in twice or more, the National Hydrography dataset showing all river and creek flowlines displays. Lastly, the small HUC 12 river basins will also appear. All combined, this display serves as the situational overview of looping radar over-top the drainage basins to asses locations at risk for flash and river flooding. This story map support the overall set of tabs with the SAF(ER) Flood viewer (arcg.is/1L00Wvm) for Emergency Management and NWS awareness of river flood risk for warning, mitigation, and response purposes.
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  • Wildfire Hazard Overview Dashboard
    Overview of current wildfires, using data from the National Wildfire Coordinating Group, National Interagency Fire Center, and FEMA demographic exposure analysis.
    1
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  • Wildfire Incident Journal
    Wildfire Incident Journal currently in testing phase.
    2
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  • Hurricane Evacuation
    Harris County hurricane evacuation and tracking application
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  • AirNow Air Quality Monitoring Site Data (Last 24 hours)
    This United States Environmental Protection Agency (US EPA) feature layer represents site data, updated hourly concentrations and Air Quality Index (AQI) values for the last 24 hours received from each monitoring site that reports to AirNow.  NOTE: Time Animation is enabled by default on this layer.Map and forecast data are collected using federal reference or equivalent monitoring techniques or techniques approved by the state, local or tribal monitoring agencies. To maintain "real-time" maps, the data are displayed after the end of each hour. Although preliminary data quality assessments are performed, the data in AirNow are not fully verified and validated through the quality assurance procedures monitoring organizations used to officially submit and certify data on the EPA Air Quality System (AQS).This data sharing, and centralization creates a one-stop source for real-time and forecast air quality data. The benefits include quality control, national reporting consistency, access to automated mapping methods, and data distribution to the public and other data systems. The U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, National Park Service, tribal, state, and local agencies developed the AirNow system to provide the public with easy access to national air quality information. State and local agencies report the Air Quality Index (AQI) for cities across the US and parts of Canada and Mexico. AirNow data are used only to report the AQI, not to formulate or support regulation, guidance or any other EPA decision or position.About the AQIThe Air Quality Index (AQI) is an index for reporting daily air quality. It tells you how clean or polluted your air is, and what associated health effects might be a concern for you. The AQI focuses on health effects you may experience within a few hours or days after breathing polluted air. EPA calculates the AQI for five major air pollutants regulated by the Clean Air Act: ground-level ozone, particle pollution (also known as particulate matter), carbon monoxide, sulfur dioxide, and nitrogen dioxide. For each of these pollutants, EPA has established national air quality standards to protect public health. Ground-level ozone and airborne particles (often referred to as "particulate matter") are the two pollutants that pose the greatest threat to human health in this country.A number of factors influence ozone formation, including emissions from cars, trucks, buses, power plants, and industries, along with weather conditions. Weather is especially favorable for ozone formation when it’s hot, dry and sunny, and winds are calm and light. Federal and state regulations, including regulations for power plants, vehicles and fuels, are helping reduce ozone pollution nationwide.Fine particle pollution (or "particulate matter") can be emitted directly from cars, trucks, buses, power plants and industries, along with wildfires and woodstoves. But it also forms from chemical reactions of other pollutants in the air. Particle pollution can be high at different times of year, depending on where you live. In some areas, for example, colder winters can lead to increased particle pollution emissions from woodstove use, and stagnant weather conditions with calm and light winds can trap PM2.5 pollution near emission sources. Federal and state rules are helping reduce fine particle pollution, including clean diesel rules for vehicles and fuels, and rules to reduce pollution from power plants, industries, locomotives, and marine vessels, among others.How Does the AQI Work?Think of the AQI as a yardstick that runs from 0 to 500. The higher the AQI value, the greater the level of air pollution and the greater the health concern. For example, an AQI value of 50 represents good air quality with little potential to affect public health, while an AQI value over 300 represents hazardous air quality.An AQI value of 100 generally corresponds to the national air quality standard for the pollutant, which is the level EPA has set to protect public health. AQI values below 100 are generally thought of as satisfactory. When AQI values are above 100, air quality is considered to be unhealthy-at first for certain sensitive groups of people, then for everyone as AQI values get higher.Understanding the AQIThe purpose of the AQI is to help you understand what local air quality means to your health. To make it easier to understand, the AQI is divided into six categories:Air Quality Index(AQI) ValuesLevels of Health ConcernColorsWhen the AQI is in this range:..air quality conditions are:...as symbolized by this color:0 to 50GoodGreen51 to 100ModerateYellow101 to 150Unhealthy for Sensitive GroupsOrange151 to 200UnhealthyRed201 to 300Very UnhealthyPurple301 to 500HazardousMaroonNote: Values above 500 are considered Beyond the AQI. Follow recommendations for the Hazardous category. Additional information on reducing exposure to extremely high levels of particle pollution is available here.Each category corresponds to a different level of health concern. The six levels of health concern and what they mean are:"Good" AQI is 0 to 50. Air quality is considered satisfactory, and air pollution poses little or no risk."Moderate" AQI is 51 to 100. Air quality is acceptable; however, for some pollutants there may be a moderate health concern for a very small number of people. For example, people who are unusually sensitive to ozone may experience respiratory symptoms."Unhealthy for Sensitive Groups" AQI is 101 to 150. Although general public is not likely to be affected at this AQI range, people with lung disease, older adults and children are at a greater risk from exposure to ozone, whereas persons with heart and lung disease, older adults and children are at greater risk from the presence of particles in the air."Unhealthy" AQI is 151 to 200. Everyone may begin to experience some adverse health effects, and members of the sensitive groups may experience more serious effects."Very Unhealthy" AQI is 201 to 300. This would trigger a health alert signifying that everyone may experience more serious health effects."Hazardous" AQI greater than 300. This would trigger a health warnings of emergency conditions. The entire population is more likely to be affected.AQI colorsEPA has assigned a specific color to each AQI category to make it easier for people to understand quickly whether air pollution is reaching unhealthy levels in their communities. For example, the color orange means that conditions are "unhealthy for sensitive groups," while red means that conditions may be "unhealthy for everyone," and so on.Air Quality Index Levels of Health ConcernNumericalValueMeaningGood0 to 50Air quality is considered satisfactory, and air pollution poses little or no risk.Moderate51 to 100Air quality is acceptable; however, for some pollutants there may be a moderate health concern for a very small number of people who are unusually sensitive to air pollution.Unhealthy for Sensitive Groups101 to 150Members of sensitive groups may experience health effects. The general public is not likely to be affected.Unhealthy151 to 200Everyone may begin to experience health effects; members of sensitive groups may experience more serious health effects.Very Unhealthy201 to 300Health alert: everyone may experience more serious health effects.Hazardous301 to 500Health warnings of emergency conditions. The entire population is more likely to be affected.Note: Values above 500 are considered Beyond the AQI. Follow recommendations for the "Hazardous category." Additional information on reducing exposure to extremely high levels of particle pollution is available here.
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  • LOMR
    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
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  • Preliminary FEMA Flood Maps
    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
    6
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  • FEMA Flood Maps
    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
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  • Stream Centerline Segments
    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
    6
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  • CRBS
    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
    6
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  • FIRM Panel
    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
    6
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  • LiMWA
    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
    6
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  • Cross Sections
    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
    6
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  • LOMA
    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
    6
    last week
  • Transect
    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
    6
    last week
  • Base Flood Elevation
    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
    6
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  • Delaware DFIRM 2.0
    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
    2
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  • DR-4879-TX
    An overview of all current federally declared disaster counties in the country.
    6
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  • Essential Elements of Information
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    last week
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  • Flash Flood Warnings (Map for Hub Dashboard)
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  • Flood Watches and Warnings (Map for Hub Dashboard)
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  • 2015 SC Flood Damage Tour
    2
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  • Region III Prototype Mitigation Risk Analysis Mapping Data Portal Map Series
    In an effort to assist federal, state and local community officials with risk communication efforts and build a support base for hazard mitigation, sustainability, and resilience discussions within their communities, FEMA Region III has developed the Mitigation Risk Analysis Mapping Data Portal. This Geographic Portal provides officials with maps, data, tools and resources to easily and effectively discover and then communicate natural hazard risk information to their partners or constituents. FEMA Region III works with a variety of contracted providers and CTP partners who assist in the delivery of Flood Risk Projects or Mapping Projects and other hazard assessment data to Delaware, the District of Columbia, Maryland, Pennsylvania, Virginia, and West Virginia. Integration between Federal, State and Local government leaders increases efficiencies and expands success throughout our project delivery areas.
    2
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  • Region III Public Mitigation Mapping Data Portal Map Series
    In an effort to assist federal, state and local community officials with risk communication efforts and build a support base for hazard mitigation, sustainability, and resilience discussions within their communities, FEMA Region III has developed the Mitigation Mapping Data Portal. This Geographic Portal provides officials with maps, data, tools and resources to easily and effectively discover and then communicate natural hazard risk information to their partners or constituents. FEMA Region III works with a variety of contracted providers and CTP partners who assist in the delivery of Flood Risk Projects or Mapping Projects and other hazard assessment data to Delaware, the District of Columbia, Maryland, Pennsylvania, Virginia, and West Virginia. Integration between Federal, State and Local government leaders increases efficiencies and expands success throughout our project delivery areas.
    2
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  • NASA Products for the California Fires August 2020
    NASA Products for the California Fires August through October 2020.
    2
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  • AirNow Monitoring Site Data (Last 24 hours – PM2.5 only), US EPA, OAR, OAQPS
    This United States Environmental Protection Agency (US EPA) feature layer represents site data, updated hourly concentrations and Air Quality Index (AQI) values for the last 24 hours received from each monitoring site that reports to AirNow. The values are for Particulate Matter (PM2.5) only.Map and forecast data are collected using federal reference or equivalent monitoring techniques or techniques approved by the state, local or tribal monitoring agencies. To maintain "real-time" maps, the data are displayed after the end of each hour. Although preliminary data quality assessments are performed, the data in AirNow are not fully verified and validated through the quality assurance procedures monitoring organizations used to officially submit and certify data on the EPA Air Quality System (AQS).This data sharing, and centralization creates a one-stop source for real-time and forecast air quality data. The benefits include quality control, national reporting consistency, access to automated mapping methods, and data distribution to the public and other data systems. The U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, National Park Service, tribal, state, and local agencies developed the AirNow system to provide the public with easy access to national air quality information. State and local agencies report the Air Quality Index (AQI) for cities across the US and parts of Canada and Mexico. AirNow data are used only to report the AQI, not to formulate or support regulation, guidance or any other EPA decision or position.
    6
    last week
  • AirNow Monitoring Site Data (Last 24 hours – Ozone and PM only), US EPA, OAR, OAQPS
    This United States Environmental Protection Agency (US EPA) feature layer represents site data, updated hourly concentrations and Air Quality Index (AQI) values for the last 24 hours received from each monitoring site that reports to AirNow. The values are for Ozone and Particulate Matter (PM) only.Map and forecast data are collected using federal reference or equivalent monitoring techniques or techniques approved by the state, local or tribal monitoring agencies. To maintain "real-time" maps, the data are displayed after the end of each hour. Although preliminary data quality assessments are performed, the data in AirNow are not fully verified and validated through the quality assurance procedures monitoring organizations used to officially submit and certify data on the EPA Air Quality System (AQS).This data sharing, and centralization creates a one-stop source for real-time and forecast air quality data. The benefits include quality control, national reporting consistency, access to automated mapping methods, and data distribution to the public and other data systems. The U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, National Park Service, tribal, state, and local agencies developed the AirNow system to provide the public with easy access to national air quality information. State and local agencies report the Air Quality Index (AQI) for cities across the US and parts of Canada and Mexico. AirNow data are used only to report the AQI, not to formulate or support regulation, guidance or any other EPA decision or position.
    6
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  • AirNow Monitoring Site Data (Latest hour – Ozone only), US EPA, OAR, OAQPS
    This United States Environmental Protection Agency (US EPA) feature layer represents site data, updated hourly concentrations and Air Quality Index (AQI) values for the latest hour received from each monitoring site that reports to AirNow.  The values are for Ozone (O3) only.Map and forecast data are collected using federal reference or equivalent monitoring techniques or techniques approved by the state, local or tribal monitoring agencies. To maintain "real-time" maps, the data are displayed after the end of each hour. Although preliminary data quality assessments are performed, the data in AirNow are not fully verified and validated through the quality assurance procedures monitoring organizations used to officially submit and certify data on the EPA Air Quality System (AQS).This data sharing, and centralization creates a one-stop source for real-time and forecast air quality data. The benefits include quality control, national reporting consistency, access to automated mapping methods, and data distribution to the public and other data systems. The U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, National Park Service, tribal, state, and local agencies developed the AirNow system to provide the public with easy access to national air quality information. State and local agencies report the Air Quality Index (AQI) for cities across the US and parts of Canada and Mexico. AirNow data are used only to report the AQI, not to formulate or support regulation, guidance or any other EPA decision or position.
    6
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  • AirNow Monitoring Site Data (Latest hour – PM2.5 only), US EPA, OAR, OAQPS
    This United States Environmental Protection Agency (US EPA) feature layer represents site data, updated hourly concentrations and Air Quality Index (AQI) values for the latest hour received from each monitoring site that reports to AirNow.  The values are for Particulate Matter 2.5 (PM2.5) only.Map and forecast data are collected using federal reference or equivalent monitoring techniques or techniques approved by the state, local or tribal monitoring agencies. To maintain "real-time" maps, the data are displayed after the end of each hour. Although preliminary data quality assessments are performed, the data in AirNow are not fully verified and validated through the quality assurance procedures monitoring organizations used to officially submit and certify data on the EPA Air Quality System (AQS).This data sharing, and centralization creates a one-stop source for real-time and forecast air quality data. The benefits include quality control, national reporting consistency, access to automated mapping methods, and data distribution to the public and other data systems. The U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, National Park Service, tribal, state, and local agencies developed the AirNow system to provide the public with easy access to national air quality information. State and local agencies report the Air Quality Index (AQI) for cities across the US and parts of Canada and Mexico. AirNow data are used only to report the AQI, not to formulate or support regulation, guidance or any other EPA decision or position.
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  • AirNow Monitoring Site Data (Latest hour – Ozone and PM only), US EPA, OAR, OAQPS
    This United States Environmental Protection Agency (US EPA) feature layer represents site data, updated hourly concentrations and Air Quality Index (AQI) values for the latest hour received from each monitoring site that reports to AirNow.  The values are for Ozone and Particulate Matter (PM) only.Map and forecast data are collected using federal reference or equivalent monitoring techniques or techniques approved by the state, local or tribal monitoring agencies. To maintain "real-time" maps, the data are displayed after the end of each hour. Although preliminary data quality assessments are performed, the data in AirNow are not fully verified and validated through the quality assurance procedures monitoring organizations used to officially submit and certify data on the EPA Air Quality System (AQS).This data sharing, and centralization creates a one-stop source for real-time and forecast air quality data. The benefits include quality control, national reporting consistency, access to automated mapping methods, and data distribution to the public and other data systems. The U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, National Park Service, tribal, state, and local agencies developed the AirNow system to provide the public with easy access to national air quality information. State and local agencies report the Air Quality Index (AQI) for cities across the US and parts of Canada and Mexico. AirNow data are used only to report the AQI, not to formulate or support regulation, guidance or any other EPA decision or position.
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  • DR-4878-TN
    An overview of all current federally declared disaster counties in the country.
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  • Earthquake Hazus Results Viewer
    The authoritative Hazus Run of Record for each major earthquake event is performed by hazard modeling specialists at FEMA in conjunction with the USGS National Earthquake Information Center.The Hazus Earthquake Model provides loss estimates of damage and loss to buildings, essential facilities, transportation and utility lifelines and population based on scenario or probabilistic earthquakes. The model addresses debris generation, fire-following, casualties and shelter requirements.Use the tabs in the Hazus Results Viewer to toggle between Hazus Results for recent earthquake events.
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  • FEMA Tornado Reponse Dashboard (Hub)
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  • Landslides in New Jersey
    This Landslides data contains point and other attributes for historic and recent landslide locations in New Jersey mapped by the New Jersey Geological Survey (NJGS). The landslides have occurred in many parts of the state and include slumps, debris flows, rockfalls and rockslides. Landslides in New Jersey are a geologic hazard in areas with steep to moderate slopes or geologic units prone to failure. They cause damage to utilities, property, and transportation routes. The average annual direct and indirect cost of New Jersey landslides is likely in the hundreds of thousands of dollars. New Jersey landslides have also caused fatalities and injuries. The landslides are caused by heavy rains, weathering, ocean waves, quarrying and construction activities.
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  • TN - Affected Counties by Ice/Winter Storm from 2000 to 2023
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  • TN - Affected Counties by Flood/Flash Flood from 2000 to 2023
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  • TN - Affected Counties by Tornado from 2000 to 2023
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  • Composite Risk Index Plus SLR USVI
    The Composite Risk Index Plus Sea Level Rise is generated by multiplying the SACS Composite Exposure Index by the SACS Combined Hazard Plus Sea Level Rise.  The Composite Exposure Index is created by summing three separate exposure indices which are weighted on a percentage basis:  Population and Infrastructure Index 60%, Environmental Cultural and Habitat 30%, and Social Vulnerability 10% (For the US Virgin Islands, 65% Population and Infrastructure data and 35% Environmental, Cultural and Habitat due to a lack of CDC Social Vulnerability data for the USVI). For additional information on the input datasets and methodology for the exposure indices, please reference the NACCS report, Appendix C, page 103: https://www.nad.usace.army.mil/Portals/40/docs/NACCS/NACCS_Appendix_C.pdf.The SACS Combined Hazard Index Plus Sea Level Rise depicts the percentage annual chance of a specific flood hazard, with an additional 3 ft. of sea level rise added to the flood surface elevation. The three flooding hazards depicted are the 10% annual chance flooding event, the 1% annual chance flooding event, and Category 5 Hurricane Maximum of Maximums. The 10% annual chance flooding is derived via a statistical analysis of tide gauges within the SACS study area, utilizing methodology developed by the USACE Engineering and Research Development Center (https://hdl.handle.net/11681/7353 or https://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-15-00031.1). The 10% annual chance flooding event raster index grid cells are assigned a value of 0.1. The 1% annual chance flooding are aggregated from FEMA’s National Flood Hazard Layer (https://www.fema.gov/national-flood-hazard-layer-nfhl) and raster index grid cells are assigned a value of 0.01. The Category 5 Maximum of Maximums hazard is pulled from NOAA’s storm surge SLOSH inundation data. These data are assigned a value of 0.001 to reflect the low probability of a Category 5 event. Three feet of sea level rise were added to the 10% and 1% annual chance flooding events for this hazard grid.The Composite Risk Index Plus Sea Level Rise grid resolution is 30 meters.This Tier 1 dataset is available for download here:Tier 1 Risk Assessment Download
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  • Composite Risk Index USVI
    The Composite Risk Index is generated by multiplying the SACS Composite Exposure Index by the SACS Combined Hazard. The USACE South Atlantic Coastal Study’s (SACS) initial study product is the Tier 1 Risk Assessment. The main output of the Tier 1 Risk Assessment is the Composite Risk Index. In the SACS, risk is defined as the probability of a hazard, multiplied against the exposure of a specific element. The Composite Exposure Index is generated following the methodology for the Tier 1 Risk Assessment cited in the USACE North Atlantic Coastal Comprehensive Study (NACCS). The Tier 1 Composite Risk Index is derived from multiplying the SACS Composite Exposure Index by the SACS Combined Hazards Present index. The Composite Risk Index is depicted as a classified grid using the Jenks or Natural Breaks classification. The four classes are Low Potential Risk, Medium Potential Risk, Medium/High Potential Risk, and High Potential Risk. The resolution of the grid is 30 meters.The Composite Exposure Index is created by summing three separate exposure indices which are weighted on a percentage basis:  Population and Infrastructure Index 60%, Environmental Cultural and Habitat 30%, and Social Vulnerability 10% (For the US Virgin Islands, 65% Population and Infrastructure data and 35% Environmental, Cultural and Habitat due to a lack of CDC Social Vulnerability data for the USVI). For additional information on the input datasets and methodology for the exposure indices, please reference the NACCS report, Appendix C, page 103: https://www.nad.usace.army.mil/Portals/40/docs/NACCS/NACCS_Appendix_C.pdf.The SACS Combined Hazard Index depicts the percentage annual chance of a specific flood hazard. The three flooding hazards depicted are the 10% annual chance flooding event, the 1% annual chance flooding event, and Category 5 Hurricane Maximum of Maximums. The 10% annual chance flooding is derived via a statistical analysis of tide gauges within the SACS study area, utilizing methodology developed by the USACE Engineering and Research Development Center (https://hdl.handle.net/11681/7353 or https://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-15-00031.1). The 10% annual chance flooding event raster index grid cells are assigned a value of 0.1. The 1% annual chance flooding are aggregated from FEMA’s National Flood Hazard Layer (https://www.fema.gov/national-flood-hazard-layer-nfhl) and raster index grid cells are assigned a value of 0.01. The Category 5 Maximum of Maximums hazard was pulled from NOAA’s storm surge SLOSH inundation data. These data are assigned a value of 0.001 to reflect the low probability of a Category 5 event.The Composite Risk Index grid resolution is 30 meters.This Tier 1 dataset is available for download here:Tier 1 Risk Assessment Download
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  • SACS NOAA ESI Shoreline US Virgin Islands
    To characterize shoreline types across the study area for the purposes of identifying potential coastal storm risk management and risk reduction strategies, the SACS leveraged the NOAA Environmental Sensitivity Shoreline Index data which provided a consistent shoreline dataset across the study area. While the primary use of these data is to support oil spill contingency planning, the data can also be used to support a variety of coastal planning applications (NOAA 2017, NOAA 2000). Criteria used to characterize the shoreline included the shoreline setting, degree of exposure to wave and tidal energy, substrate composition, substrate permeability, slope, the presence of wetlands, development, coastal armor, and shoreline stabilization structures. The SACS Geospatial Appendix details specific NOAA ESI Code reclassifications.
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  • Mitigation Planning Success Stories
    FEMA released this interactive story map titled Mitigation Planning Program Success Stories, to highlight Hazard Mitigation Plans that exemplify mitigation success through plan integration, plan implementation, and inclusive planning processes. This tool was developed for an audience that includes consultants, local hazard mitigation planners, State Hazard Mitigation Officers, grant coordinators, and others.Stakeholders are invited to submit their mitigation planning success story by emailing: FEMA-Mitigation-Planning@fema.dhs.gov.
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  • RISPP - Road Assets Exposed to Storm Surge & SLR by 2100
    This layer was created by the Rhode Island Statewide Planning Program as part of the 2016 Municipal Transportation Assets Vulnerable to Sea Level Rise and Storm Surge Project. The layer depicts road centerline segments potentially exposed to storm surge inundation under sea level rise conditions before 2100, based on predictions of seven feet of sea level rise for the State of Rhode Island by the Rhode Island Coastal Resources Management Council (CRMC). The underlying road structure, and much of the attribute data, originates from the road network layer created by the Rhode Island Department of Transportation. The sea level rise scenarios of one, three, five, and seven feet of sea level rise originated with the STORMTOOLS data set created by CRMC. The modeling of storm surge and sea level rise inundation zones originated with the STORMTOOLS data set created by CRMC. Other data came from the Rhode Island Public Transportation Authority. This layer was created by the Rhode Island Statewide Planning Program as part of the 2016 Municipal Transportation Assets Vulnerable to Sea Level Rise and Storm Surge Project. The layer depicts road centerline segments potentially exposed to storm surge inundation under sea level rise conditions before 2100.
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  • RISPP - 100 Year Storm Surge Event Plus SLR by 2100
    The layer depicts data for 100-Year Storm Surge [under current conditions], 100-Year Storm Surge Plus One Foot of Sea Level Rise, 100-Year Storm Surge Plus Three Feet of Sea Level Rise, 100-Year Storm Surge Plus Five Feet of Sea Level Rise, and 100-Year Storm Surge Plus Seven Feet of Sea Level Rise. These scenarios, and all attendant modeling, originated with CRMC. This layer was created by the Rhode Island Statewide Planning Program (RISPP) as part of the 2016 Municipal Transportation Assets Vulnerable to Sea Level Rise and Storm Surge Project using inundation data from the STORMTOOLS Dataset prepared by the Coastal Recourses Management Council (CRMC). Five storm surge inundation scenarios from STORMTOOLS were brought together such that each polygon would depict one inundation scenario.
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  • RISPP - Bridge Assets Exposed to Storm Surge and SLR by 2100
    This layer was created by the Rhode Island Statewide Planning Program as part of the 2016 Municipal Transportation Assets Vulnerable to Sea Level Rise and Storm Surge Project. The layer depicts bridges over 25 ft. in length potentially exposed to storm surge and sea level rise before 2100, based on predictions of seven feet of sea level rise for the State of Rhode Island by the Rhode Island Coastal Resources Management Council (CRMC). The bridge locations, and much of the attribute data, originates from a layer maintained internally by the Rhode Island Department of Transportation. The scenario depicting seven feet of sea level rise plus the storm surge from a 100-year storm event, and the attendant water heights, originated with the STORMTOOLS data set created by CRMC. Other data came from the Rhode Island Public Transportation Authority. This layer was created by the Rhode Island Statewide Planning Program as part of the 2016 Municipal Transportation Assets Vulnerable to Sea Level Rise and Storm Surge Project. The layer depicts bridges over 25 ft. in length potentially exposed to storm surge before 2100.
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  • Region VI Resources (Hub Site)
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  • Hurricane Evac Zones and Routes
    This layer depicts hurricane evacuation routes and risk areas as designated by the Federal Emergency Management Administration (FEMA).Hurricane evacuation zones categorized for zip codes coded for four separate zones: A, B, C, & Coastal.
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  • What is the population-weighted air quality here?
    This map depicts a population-weighted measure of particulate matter 2.5 (PM 2.5) air quality data for the US for 2016. The measure factors in where population is concentrated within a state or county.Population data is from Esri's Updated Demographics and air quality data is from NASA SEDAC gridded data aggregated to states, counties, congressional districts, and 50km hex bins. Click on the map to view more information such as the trend over time. Click here to view more information on how this layer was created. Citations:van Donkelaar, A., R. V. Martin, M. Brauer, N. C. Hsu, R. A. Kahn, R. C. Levy, A. Lyapustin, A. M. Sayer, and D. M. Winker. 2018. Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, 1998-2016. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4ZK5DQS. Accessed 1 April 2020van Donkelaar, A., R. V. Martin, M. Brauer, N. C. Hsu, R. A. Kahn, R. C. Levy, A. Lyapustin, A. M. Sayer, and D. M. Winker. 2016. Global Estimates of Fine Particulate Matter Using a Combined Geophysical-Statistical Method with Information from Satellites. Environmental Science & Technology 50 (7): 3762-3772. https://doi.org/10.1021/acs.est.5b05833.
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  • Maine Flood Hazard Map - Flood Zones Q3
    Flood Data Q3 is derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA) mapped at 1:24000 scale. The file is georeferenced to the earth's surface using the Universal Transverse Mercator (UTM) projection and a zonal coordinate system (units in meters). Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000.  This data product preceded the current Digital Flood Insurance Rate Maps (DFIRMs).  For more information on the transition from the older Q3 to current DFIRM products visit https://www.fema.gov/media-library/assets/documents/3846
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  • Virginia Know Your Zone
    Virginia Know Your Zone website providing links to the Look Up Tool and data resources for residents and visitors of the Commonwealth of Virginia about hurricane evacuation zones.This also hosts a collection of Virginia hurricane evacuation zone GIS data layers that are publicly available.
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  • DR-4877-MO
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • Wilson County Road Closure Map
    This is the Wilson County GIS Web Application for countywide road closures in the event of a natural disaster.  The information presented is collected by Wilson County GIS with the assistance of various Wilson County and City of Wilson departments, in addition to the North Carolina Department of Transportation Traveler Information Management System (NCDOTTIMS).Wilson County GIS will make every attempt to keep this site updated through the course of possible road closures during a natural disaster.  In the event of a disaster please exercise all caution in traveling and please heed any and all recommendations put forth by local and state authorities.Following unusually heavy rains, please remember to watch for flooding in low-lying areas, avoid flooded roads, and stay tuned to local weather forecasts.Emergency officials urge residents to follow these safety tips:•      Move to higher ground when flash flood warnings are issued.                Don’t wait for instructions.•      Never drive into flooded areas or across flooded roads. If you cannot see the road, it may not be there.•      Do not walk through moving water. Just six inches of fast-moving water can knock over an adult.•      Follow detours and obey traffic barricades that close off roads.•      Never park or camp along streams, rivers or creeks.For the latest flooding information, download the ReadyNC mobile app and check the flood gauges nearest you. For real-time travel information, visit DriveNC.gov or follow NCDOT on Twitter.
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  • Longterm Recovery Offices
    The JFO is a temporary Federal multi-agency coordination center established locally to facilitate field-level domestic incident management activities related to prevention, preparedness, response and recovery when activated by the Secretary. The JFO provides a central location for coordination of Federal, State, local, tribal, nongovernmental and private-sector organizations with primary responsibility for activities associated with threat response and incident support. Contact email: FEMA-RGO@fema.gov
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    last week
  • Open Joint Field Offices
    The JFO is a temporary Federal multi-agency coordination center established locally to facilitate field-level domestic incident management activities related to prevention, preparedness, response and recovery when activated by the Secretary. The JFO provides a central location for coordination of Federal, State, local, tribal, nongovernmental and private-sector organizations with primary responsibility for activities associated with threat response and incident support. Contact email: FEMA-RGO@fema.gov
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    last week
  • Joint Field Offices
    The JFO is a temporary Federal multi-agency coordination center established locally to facilitate field-level domestic incident management activities related to prevention, preparedness, response and recovery when activated by the Secretary. The JFO provides a central location for coordination of Federal, State, local, tribal, nongovernmental and private-sector organizations with primary responsibility for activities associated with threat response and incident support. Contact email: FEMA-RGO@fema.gov
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  • #FireMappers 2.0: Wildfire Early Notification Web App - 5ff0e
    #FireMappers 2.0Wildfire Early Notification MapThis map is using dynamic sources of data (see all sources in this web map) and is meant to provide a general awareness of wildfire activity for people who are familiar with wildland firefighting data (e.g. public safety professionals). This map is not incident specific. If you zoom out to another fire you will see live feeds for that area if available. NOTE! This is not an evacuation map. If you are told to evacuate, then GO! Do not rely on this map as an excuse to ignore an order to evacuate.Want to make you own fire map and work for an agency? See Core Information Needs for the PublicWant to know more about the #FireMappers? See this Story Map https://arcg.is/1bKS8fWhat is on this map and when does this map update?This is a map made with publicly available information and is being updated from government data sources, not the map author. There are three key sources of fire information in this map:New Wildfire Crowdsourced Locations - This is a feed from a *Prototype* Survey123 Form for reporting new fire locations (e.g., Initial Attack) quickly and in a spatially explicit manner, from a variety of sources (i.e., social media, scanner traffic, flight radar, agency websites, etc.). It is maintained by GISCorps volunteers and is meant to be a way to quickly map new fires.Active Fires (Nationwide - IRWIN) - This layer provides a near real-time view of the data being shared through the Integrated Reporting of Wildland-Fire Information (IRWIN) service. IRWIN provides data exchange capabilities between participating wildfire systems, including federal, state and local agencies. Data is synchronized across participating organizations to make sure the most current information is available. Wildfire Perimeters (NIFC) - The estimated burned area determined by the incident managemet team. These are generally based on overnight observations from aircraft with infrared sensors, but will update each day for large fires around 1130AM Pacific Time. Find out more about all of the data sources on this map see: Data Sources in Web MapHave an Emergency or think you are close to a fire? Dial 911 or contact your local public safety agency for instructions. For evacuation information - see the local law enforcement agency website or call them directly. If your local agency provides a map of any of this information - use their map! Would you like to share this map on your website?You can use the share widget functionality built into the application. Please attribute NAPSG Foundation and do reach out to admin@publicsafetygis.org so we know you are using the map. 
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  • Wildland, Ignition, and Ember Zone Vector Tiles
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  • Coastal Gages
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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  • Datum Conversion Points
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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  • River Mile Markers
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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  • Topographic Low Confidence Areas
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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  • PLSS
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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  • Study Info
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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  • Evacuation Centers (Open) - App - LocalPerspective
    OEM partners with Miami-Dade County Public Schools and the American Red Cross (ARC) to operate Evacuation Centers (EC). These ECs provide refuges of last resort for those individuals who need to evacuate and are unable to make their own evacuation and sheltering arrangements, such as with friends, family, or in hotels outside of the evacuation zones. During evacuations, Miami-Dade County also offers Pet Friendly Evacuation Centers for residents living in evacuation areas, unsafe structures or mobile homes. A family member must stay with the pet. For more information, call 311 or visit Animal Services Department's page on disaster preparedness for pets.
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  • D3 Emergency Services Application
    ***REPLACED with https://experience.arcgis.com/experience/6223009ff5874e20b10ffb1e0cf81fb5***Emergency management mapping application for FDOT District 3.  This app is for editing and analysis of emergency management data related to emergency events in District 3.Map: https://fdot.maps.arcgis.com/home/item.html?id=846de82e6d1248139b645c50021f906dMissing Details:Source – Links to websites, apps, story maps, web maps and other resources related to this functionality should be added.Data Custodian – who is responsible/maintains the data (department, group)Update Frequency – (yearly, quarterly, monthly, weekly, daily, static, etc..)
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  • Storm Surge Planning Zone - Web App
    The Miami-Dade County storm surge planning zones are drawn using Sea, Lake and Overland Surge from Hurricanes (SLOSH) model grids that incorporate local physical features such as geographic coastal area, bay and river shapes, water depths, bridges, etc. Areas in Miami-Dade along canals, rivers and further inland have been identified as being at risk for storm surge based on this data. The Miami-Dade County storm surge planning zones are drawn using Sea, Lake and Overland Surge from Hurricanes (SLOSH) model grids that incorporate local physical features such as geographic coastal area, bay and river shapes, water depths, bridges, etc.Areas in Miami-Dade along canals, rivers and further inland have been identified as being at risk for storm surge based on this data. Each zone or portions will be evacuated depending on the hurricane’s track and projected storm surge, independent of the hurricane’s category.Upon identification of a threat the EOC or County Mayor will use local media to relay pertinent information, such as evacuations and shelter openings. It is important that you monitor the news for this information. Remember that these planning deal strictly with storm surge; you still need to determine if your home is safe to remain in during a hurricane.
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  • Floodplain FIRM Panels
    Location and attributes for FIRM hardcopy map panels. The spatial entities representing FIRM panels are polygons. The polygon for the FIRM panel corresponds to the panel neatlines. FIRM panels must not overlap or have gaps within a study. In situations where a portion of a panel lies outside the jurisdiction being mapped, the user must refer to the S_Pol_Ar table to determine the portion of the panel area where the FIRM Database shows the effective flood hazard data for the mapped jurisdiction.
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  • Community Rating System Special Flood Hazard Areas
    The Community Rating System (CRS) is a voluntary incentive program that recognizes and encourages community floodplain management practices that exceed the minimum requirements of the National Flood Insurance Program (NFIP). Over 1,500 communities participate nationwide. In CRS communities, flood insurance premium rates are discounted to reflect the reduced flood risk resulting from the community’s efforts that address the three goals of the program:Reduce and avoid flood damage to insurable propertyStrengthen and support the insurance aspects of the National Flood Insurance ProgramFoster comprehensive floodplain managementAn area having special flood, mudflow or flood-related erosion hazards and shown on a Flood Hazard Boundary Map (FHBM) or a Flood Insurance Rate Map (FIRM) Zone A, AO, A1-A30, AE, A99, AH, AR, AR/A, AR/AE, AR/AH, AR/AO, AR/A1-A30, V1-V30, VE or V. The SFHA is the area where the National Flood Insurance Program's (NFIP's) floodplain management regulations must be enforced and the area where the mandatory purchase of flood insurance applies. For the purpose of determining Community Rating System (CRS) premium discounts, all AR and A99 zones are treated as non-SFHAs.
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  • Storm Surge Risk Areas
    This data reflects areas with a risk of storm tide flooding from hurricanes, based on potential storm tide heights calculated by the National Weather Service's SLOSH (Sea, Lake, and Overland Surge from Hurricanes) Model. The SLOSH Basin used for mapping was Chesapeake Bay (CP5), released in 2014. This data was prepared by the U.S. Army Corps of Engineers, Baltimore District, Planning Division in January 2016. SLOSH storm tide elevations used for this mapping are based on the Maximum of Maximums (MOM) SLOSH output dataset. The MOM output elevations represent the highest calculated storm tide values based on thousands of SLOSH simulations using different combinations of approach direction, forward speed, landfall point, astronomical tide, and intensity (Category 1 through Category 4). Categories 1 through 4 refer to the Saffir-Simpson scale of hurricane intensity. This map does not reflect the expected storm tide flooding for every hurricane, or for any one particular type of hurricane. This map shows the overall footprint of the area that has some risk of storm tide flooding from hurricanes, based on the MOM output dataset.
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  • FLIPPER 2. 0 External
    The Florida Inter-operable Picture Processing for Emergency Response (FLIPPER) is a common operating picture and situational awareness application used by Miami-Dade OEM and first responders. This is an interactive web mapping tool used to display geographic information from a variety of internal and external sources, such as live weather data, storm surge, active hurricane tracks, demographic data, traffic streaming cameras, live traffic and accidents, road closures, and others. FLIPPER also displays map layers that include Storm Surge Planning Zone (Know Your Zone), Evacuation Order,  fire and police stations, schools, hospitals, nursing homes, parks, roadway network, and aerial photography. This tool is integrated into the EOC’s disaster management tool, WebEOC®, which provides live data about the status of Evacuation Centers, Points of Distributions (POD) and Disaster Assistance Centers (DAC).
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  • RIFT Latest Forecast - Imagery
    (Provisional) CloudRIFT simulation for MiltonSimulation Period: 168 hours from 2024-10-09 12:00:00 to 2024-10-16 12:00:00 UTCSimulation Domains: 5 HUC area(s) at 60m resolution, including 0308, 0310, 0309, 0311, 0312Precipitation Input: 48 hours (2024-10-09 12:00 to 2024-10-11 12:00 UTC), including: NOAA's High Resolution Ensemble Forecast (HREF) (2024-10-09 12:00 to 2024-10-11 12:00 UTC)Storm Surge Input: CERA ASGS Maximum Water Height above MSL (09-Oct-2024 12:00 to 14-Oct-2024 12:00 UTC) Data downloading: Vector, Raster, Metadata Memo. Please goto RIFT PNNL Data Hub for more data.If this item is not working properly, please go to the Original Data Page.
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  • National Pipeline Mapping System
    Please refer to the NPMS Website for information about this pipeline dataset: NPMS Pipeline: https://www.npms.phmsa.dot.gov/PipelineData.aspx<o:p></o:p>
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  • Ecological Unusually Sensitive Areas in Wyoming
    Please refer to the NPMS Website for information about this dataset: https://www.npms.phmsa.dot.gov/USAEcoData.aspx
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  • Remembering Tropical Storm Irene
    We give respect to those who lost loved ones and other North Country residents who were impacted by this devastating storm. Sincere appreciation is also given to emergency personnel and other volunteer first responders. Their tireless recovery efforts epitomized the resilience and fighting spirit of Vermonters and North Country residents alike. The narrative that follows highlights this once in a generation event.
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  • CA EVACUATIONS
    This feature service is an aggregation of multiple California County Evacuation Zone services, and Genasys. The schema used mirrors the Zonehaven Schema. This service is fully updated every 10 minutes. During the update, there may be a brief period (~1 min) where the service is rebuilding and not all features are visible.Updated Frequency: 10 minutesContact: gissupport@caloes.ca.govSymbologyStatusColor Hex ValueColor NameColorDescriptionNORMAL#FFFFFFWhiteNo active public safety incidents.EVACUATION WARNING#E5C447YellowPotential threat to life and/or property. Those who require additional time to evacuate, and those with pets and livestock should leave now.EVACUATION ORDER#D37072RedImmediate threat to life. This is a lawful order to leave now. The area is lawfully closed to public access.SHELTER IN PLACE#BF6ADCPurpleGo indoors. Shut and lock doors and windows. Prepare to self-sustain until further notice and/or contacted by emergency personnel for additional direction.CLEAR TO REPOPULATE#90D260GreenIt is now safe to return to your home post evacuation.ADVISORY#6A95CBBlueBe on alert and follow county recommendations.
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  • Nevada Fire Restriction Map
    ALL PUBLIC LANDS MANAGED BY THE BUREAU OF LAND MANAGEMENT AND U.S. FOREST SERVICE IN NEVADA PROHIBIT THE FOLLOWING:1. Possessing, discharging, using or allowing the use of fireworks, pyrotechnic or incendiary devices.2. Possessing, discharging, igniting or causing to burn; explosives or explosive material, including binary explosive targets.3. Discharging a firearm using tracer, incendiary, or steel-component ammunition.  [Use of tracer or incendiary ammunition is always prohibited on public lands].4. Operating or using any internal or external combustion engine without a spark arresting device properly installed, maintained and in effective working order.This map is intended for use in the Nevada Wildfire Info Dashboard as well as nevadafireinfo.org showing the current status of fire restrictions in Nevada.
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  • Hazard Situation Overview
    Indicates relative information for general tracking, including weather, earthquake activity, fire activity, volcano activity, shelter activity, declarations, and FEMA's daily operations briefing.
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  • Current Wildfires - Montana
    Interactive map of wildfires currently active in Montana.Current wildfire locations, perimeters, and historic fire perimeters are based on the National Interagency Fire Center (NIFC) Wildland Fire Open Data.Cadastral, public lands, and structures/addresses layers are based on the Cadastral and Structures/Addresses Framework datasets maintained by the Montana State Library.Photo by John McColgan - Edited by Fir0002 [Public domain], via Wikimedia Commons.For more information or to report issues with this application, please contact the Montana State Library: geoinfo@mt.gov
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  • USA Current Wildfires
    This layer presents the best-known point and perimeter locations of wildfire occurrences within the United States over the past 7 days. Points mark a location within the wildfire area and provide current information about that wildfire. Perimeters are the line surrounding land that has been impacted by a wildfire.Source:  Wildfire points are sourced from Integrated Reporting of Wildland-Fire Information (IRWIN) and perimeters from National Interagency Fire Center (NIFC). Current Incidents: This layer provides a near real-time view of the data being shared through the Integrated Reporting of Wildland-Fire Information (IRWIN) service. IRWIN provides data exchange capabilities between participating wildfire systems, including federal, state and local agencies. Data is synchronized across participating organizations to make sure the most current information is available. The display of the points are based on the NWCG Fire Size Classification applied to the daily acres attribute.Current Perimeters: This layer displays fire perimeters posted to the National Incident Feature Service. It is updated from operational data and may not reflect current conditions on the ground. For a better understanding of the workflows involved in mapping and sharing fire perimeter data, see the National Wildfire Coordinating Group Standards for Geospatial Operations.Update Frequency:  Every 15 minutes using the Aggregated Live Feed Methodology based on the following filters:Events modified in the last 7 daysEvents that are not given a Fire Out DateIncident Type Kind: FiresIncident Type Category: Debris/Product Fire, Fire Rehabilitation, Incident/Event Support, Preparedness/Preposition, Prescribed Fire, Wildfire, Wildland Fire Use, Incident Complex, and Out of Area Response Area Covered: United StatesWhat can I do with this layer? The data includes basic wildfire information, such as location, size, environmental conditions, and resource summaries. Features can be filtered by incident name, size, or date keeping in mind that not all perimeters are fully attributed.The USA Wildfires web map provides additional layers and information such as Red Flag warnings, wind speed/gust, and satellite thermal detections. This map can be used as a starting point for your own map.Attribute InformationThis is a list of attributes that benefit from additional explanation. Not all attributes are listed.Incident Type Category: This is a breakdown of events into more specific categories.IrwinID: Unique identifier assigned to each incident record in both point and perimeter layers. Acres: these typically refer to the number of acres within the current perimeter of a specific, individual incident, including unburned and unburnable islands.Discovery: An estimate of acres burning upon the discovery of the fire.Calculated or GIS:  A measure of acres calculated (i.e., infrared) from a geospatial perimeter of a fire.Daily: A measure of acres reported for a fire.Final: The measure of acres within the final perimeter of a fire. More specifically, the number of acres within the final fire perimeter of a specific, individual incident, including unburned and unburnable islands. Dates: the various systems contribute date information differently so not all fields will be populated for every fire.FireDiscovery: The date and time a fire was reported as discovered or confirmed to exist. May also be the start date for reporting purposes.  Containment: The date and time a wildfire was declared contained. Control: The date and time a wildfire was declared under control.ICS209Report: The date and time of the latest approved ICS-209 report.Current: The date and time a perimeter is last known to be updated.FireOut: The date and time when a fire is declared out. GACC: A code that identifies one of the wildland fire geographic area coordination centers. A geographic area coordination center is a facility that is used for the coordination of agency or jurisdictional resources in support of one or more incidents within a geographic coordination area.Fire Mgmt Complexity: The highest management level utilized to manage a wildland fire event.Incident Management Organization: The incident management organization for the incident, which may be a Type 1, 2, or 3 Incident Management Team (IMT), a Unified Command, a Unified Command with an IMT, National Incident Management Organization (NIMO), etc. This field is null if no team is assigned.Unique Fire Identifier: Unique identifier assigned to each wildland fire. yyyy = calendar year, SSUUUU = Point Of Origin (POO) protecting unit identifier (5 or 6 characters), xxxxxx = local incident identifier (6 to 10 characters)This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
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  • MODIS True Color - Aqua Corrected Reflectance
    This series of products from MODIS represents the only daily global composites available and is suitable for use at global and regional levels. This True Color band composition (Bands 1 4 3 | Red, Green, Blue) most accurately shows how we see the earth’s surface with our own eyes. It is a natural looking image that is useful for land surface, oceanic and atmospheric analysis. There are four True Color products in total. For each satellite (Aqua and Terra) there is a 250 meter corrected reflectance product and a 500 meter surface reflectance product. Although the resolution is coarser than other satellites, this allows for a global collection of imagery on a daily basis, which is made available in near real-time. In contrast, Landsat needs 16 days to collect a global composite. Besides the maximum resolution difference, the surface and corrected reflectance products also differ in the algorithm used for atmospheric correction.NASA Global Imagery Browse Services (GIBS)This image layer provides access to a subset of the NASA Global Imagery Browse Services (GIBS), which are a set of standard services to deliver global, full-resolution satellite imagery. The GIBS goal is to enable interactive exploration of NASA's Earth imagery for a broad range of users. The purpose of this image layer, and the other GIBS image services hosted by Esri, is to enable convenient access to this beautiful and useful satellite imagery for users of ArcGIS. The source data used by this image layer is a finished image; it is not recommended for quantitative analysis.Several full resolution, global imagery products are built and served by GIBS in near real-time (usually within 3.5 hours of observation). These products are built from NASA Earth Observing System satellites data courtesy of LANCE data providers and other sources. The MODIS instrument aboard Terra and Aqua satellites, the AIRS instrument aboard Aqua, and the OMI instrument aboard Aura are used as sources. Several of the MODIS global products are made available on this Esri hosted service.This image layer hosted by Esri provides direct access to one of the GIBS image products. The Esri servers do not store any of this data itself. Instead, for each received data request, multiple image tiles are retrieved from GIBS, which are then processed and assembled into the proper image for the response. This processing takes place on-the-fly, for each and every request. This ensures that any update to the GIBS data is immediately available in the Esri mosaic service.Note on Time: The image service supporting this layer is time enabled, but time has been disabled on this image layer so that the most recent imagery displays by default. If you would like to view imagery over time, you can update the layer properties to enable time animation and configure time settings. The results can be saved in a web map to use later or share with others.IMPORTANT NOTICE: On August 16, 2020, Aqua MODIS experienced an anomaly with the Formatter-Multiplexer Unit (FMU). As a result, imagery was not produced from August 16, 2020 through September 2, 2020.
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  • {{name}}
    {{description}}
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  • DR-4876-MO
    An overview of all current federally declared disaster counties in the country.
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  • Isaias POST 5km adv26 NC SC 20200803
    POST priority model for Hurricane Isaias based on HAZUS hurricane wind model results (advisory 26), PNNL flood inundation (extent modified), and storm surge (advisory 26). Results are shown at 5 km resolution.
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  • Base Index
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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  • WY Geologic Hazards Web App
    This ArcGIS Online map offers an interactive method to investigate geologic hazards data. The map was developed to enable interactive research of landslides, earthquakes, windblown deposits, expansive soils, and active faults across the state. All of the data in this application are publicly available from the United States Geological Survey (USGS) and the Wyoming State Geological Survey (WSGS). Data obtained from other agencies are presented "as is" and have not been altered or checked. For comments or questions, please contact the WSGS at 307-766-2286 or wsgs.wyo.gov.Wittke, S.J.,  Stafford, J.E., and Mauch, J.P., 2019, Wyoming geologic hazards map: Wyoming State Geological Survey, at https://wsgs.maps.arcgis.com/apps/webappviewer/index.html?id=916afcace2dc4164afa04a9f525bc37e.
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  • Ultralight
    The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.
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  • Gliderport
    The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.
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  • Seaplane Base
    The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.
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  • Heliport
    The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.
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  • Unknown (Airport)
    The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.
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  • Less than 100,000
    The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.
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  • 100,000 - 999,999
    The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.
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  • Balloonport
    The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.
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  • 1,000,000 or more
    The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.
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    last week
  • USA Airports
    The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.
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  • USA Railroads
    USA Railroads is a comprehensive database of the nation's railway system at 1:24,000 to 1:100,000 scale. The data set covers all 50 States plus the District of Columbia.This hosted feature service displays at scales up to 1:1,500,000.
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  • {{name}}
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  • Nevada Wildfire Season Summary Map
    All data displayed on this map is near real-time. There are two ways in which this happens: Web service based data and a mobile mapping application called Field Maps. Web services are updated regularly ranging from every minute to once a month. All web services in this map are refreshed automatically to ensure the latest data being provided is displayed. Data collected through the use of Field Maps is done so by firefighters on the ground. The Field Maps application is consuming, creating, and editing data that are stored in ArcGIS Online. These data are then fed directly in to this map. To learn more about these web mapping technologies, visit the links below:Web ServicesArcGIS Field MapsArcGIS OnlineWeb Services used in this map:(visit link to learn more about each service)IRWIN - A central hub that orchestrates data between various fire reporting applications. When a new incident is created and/or updated by a dispatch center or other fire reporting system, it is then displayed on the map using the Integrated Reporting of Wildland-Fire Information (IRWIN) service. Automatically refreshes every five minutes:Fires by Cause - Any incident that has occurred year to date displayed by cause.ArcGIS Online/Field Maps - Part of the Esri Geospatial Cloud, ArcGIS Online and Collector enables firefighters to use web maps created in ArcGIS Online on mobile devices using the Collector application to capture and edit data on the fireline. Data may be captured and edited in both connected and disconnected environments. When data is submitted back to the web service in ArcGIS Online, it is then checked for accuracy and approved for public viewing.Fire Perimeter - Must be set to 'Approved' and 'Public' to be displayed on the map. Automatically refreshes every five minutes.
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  • Hurricane Evacuation Zones
    {{description}}
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  • Nevada Wildfire Info Dashboard - Mobile
    This dashboard is best viewed using a mobile device. For an enhanced viewing experience on a desktop or laptop computer please use the NV Wildfire Info desktop version  dashboardAll data displayed on this map is near real-time. There are two ways in which this happens: Web service based data and a mobile mapping application called Field Maps. Web services are updated regularly ranging from every minute to once a month. All web services in this map are refreshed automatically to ensure the latest data being provided is displayed. Data collected through the use of Field Maps is done so by firefighters on the ground. The Field Maps application is consuming, creating, and editing data that are stored in ArcGIS Online. These data are then fed directly in to this map. To learn more about these web mapping technologies, visit the links below:Web ServicesArcGIS Field MapsArcGIS OnlineWeb Services used in this map:(visit link to learn more about each service)IRWIN - A central hub that orchestrates data between various fire reporting applications. When a new incident is created and/or updated by a dispatch center or other fire reporting system, it is then displayed on the map using the Integrated Reporting of Wildland-Fire Information (IRWIN) service. All layers below are derived from the same IRWIN service and automatically refresh every five minutes:New Starts (last 24hrs) - Any incident that has occurred within the last rolling 24 hour time period.Current Large Incidents - Incidents that have created an ICS 209 document at the type 3 Incident Commander (IC) level and above and are less than 100% contained.Ongoing - Incidents that do not have a containment, control, or out date.Contained - Incidents with a containment date but no control or out date.Controlled/Out (last 24hrs) - Incidents with a containment, control, and/or out date within the last rolling 24 hour time period.Controlled/Out - Incidents with a containment, control, and/or out date. Layer turned off by default.Season Summary - All incidents year to date. Layer turned off by default.ArcGIS Online/Field Maps - Part of the Esri Geospatial Cloud, ArcGIS Online and Collector enables firefighters to use web maps created in ArcGIS Online on mobile devices using the Collector application to capture and edit data on the fireline. Data may be captured and edited in both connected and disconnected environments. When data is submitted back to the web service in ArcGIS Online, it is then checked for accuracy and approved for public viewing.Fire Perimeter - Must be set to 'Approved' and 'Public' to be displayed on the map. Automatically refreshes every five minutes.NOAA nowCOAST - Provides web services of near real-time observations, analyses, tide predictions, model guidance, watches/warnings, and forecasts for the coastal United States by integrating data and information across NOAA, other federal agencies and regional ocean and weather observing systems (source).  All layers below automatically refresh every five minutes.Tornado Warning - National Weather Service warning for short duration hazard.Severe Thunderstorm Warning - National Weather Service warning for short duration hazard.Flash Flood Warning - National Weather Service warning for short duration hazard.Red Flag Warning - National Weather Service warning for long duration hazard.nowCOAST Lightning Strike Density - 15-minute Satellite Emulated Lightning Strike Density imagery for the last several hours.nowCOAST Radar - Weather Radar (NEXRAD) Reflectivity Mosaics from NOAA MRMS for Alaska, CONUS, Puerto Rico, Guam, and Hawaii for last several hours.
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  • Maryland LiDAR Washington D.C. - DEM Meters
    Hydro-Flattened Bare Earth DTM. The dataset was created using the lidar bare earth points and 3D hydro breaklines to a resolution of 1 m (April 2018). Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile generated in 2017.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/WashingtonDC/MD_washingtonDC_dem_m/ImageServer
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  • Maryland LiDAR Washington D.C. - Slope
    Hydro-Flattened Bare Earth DTM. The dataset was created using the lidar bare earth points and 3D hydro breaklines to a resolution of 1 m (April 2018). Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile generated in 2017.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/WashingtonDC/MD_washingtonDC_slope_m/ImageServer
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  • Maryland LiDAR Washington D.C. - DEM Feet
    Hydro-Flattened Bare Earth DTM. The dataset was created using the lidar bare earth points and 3D hydro breaklines to a resolution of 1 m (April 2018). Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile generated in 2017.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/WashingtonDC/MD_washingtonDC_dem_ft/ImageServer
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  • Maryland LiDAR Washington D.C. - Shaded Relief
    Hydro-Flattened Bare Earth DTM. The dataset was created using the lidar bare earth points and 3D hydro breaklines to a resolution of 1 m (April 2018). Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile generated in 2017.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/WashingtonDC/MD_washingtonDC_shadedRelief_RGB/ImageServer
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  • Maryland LiDAR Washington D.C. - Hillshade
    Hydro-Flattened Bare Earth DTM. The dataset was created using the lidar bare earth points and 3D hydro breaklines to a resolution of 1 m (April 2018). Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile generated in 2017.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/WashingtonDC/MD_washingtonDC_hillshade_m/ImageServer
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  • KYZ-What is my zone
    {{description}}
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  • Nevada Wildfire Intelligence
    Nevada Wildfire Intelligence is providing access to maps in the form of web applications and operations dashboards, data in the form of downloads and service urls, as well as, official documents in the form of spatial fire management plans that are visualized though story maps.
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  • Nevada Wildfire Information Map
    All data displayed on this map is near real-time. There are two ways in which this happens: Web service based data and a mobile mapping application called Field Maps. Web services are updated regularly ranging from every minute to once a month. All web services in this map are refreshed automatically to ensure the latest data being provided is displayed. Data collected through the use of Field Maps is done so by firefighters on the ground. The Field Maps application is consuming, creating, and editing data that are stored in ArcGIS Online. These data are then fed directly in to this map. To learn more about these web mapping technologies, visit the links below:Web ServicesArcGIS Field MapsArcGIS OnlineWeb Services used in this map:(visit link to learn more about each service)IRWIN - A central hub that orchestrates data between various fire reporting applications. When a new incident is created and/or updated by a dispatch center or other fire reporting system, it is then displayed on the map using the Integrated Reporting of Wildland-Fire Information (IRWIN) service. All layers below are derived from the same IRWIN service and automatically refresh every five minutes:New Starts (last 24hrs) - Any incident that has occurred within the last rolling 24 hour time period.Current Large Incidents - Incidents that have created an ICS 209 document at the type 3 Incident Commander (IC) level and above and are less than 100% contained.Ongoing - Incidents that do not have a containment, control, or out date.Contained - Incidents with a containment date but no control or out date.Controlled/Out (last 24hrs) - Incidents with a containment, control, and/or out date within the last rolling 24 hour time period.Controlled/Out - Incidents with a containment, control, and/or out date. Layer turned off by default.Season Summary - All incidents year to date. Layer turned off by default.ArcGIS Online/Field Maps - Part of the Esri Geospatial Cloud, ArcGIS Online and Collector enables firefighters to use web maps created in ArcGIS Online on mobile devices using the Collector application to capture and edit data on the fireline. Data may be captured and edited in both connected and disconnected environments. When data is submitted back to the web service in ArcGIS Online, it is then checked for accuracy and approved for public viewing.Fire Perimeter - Must be set to 'Approved' and 'Public' to be displayed on the map. Automatically refreshes every five minutes.NOAA nowCOAST - Provides web services of near real-time observations, analyses, tide predictions, model guidance, watches/warnings, and forecasts for the coastal United States by integrating data and information across NOAA, other federal agencies and regional ocean and weather observing systems (source).  All layers below automatically refresh every five minutes.Tornado Warning - National Weather Service warning for short duration hazard.Severe Thunderstorm Warning - National Weather Service warning for short duration hazard.Flash Flood Warning - National Weather Service warning for short duration hazard.Red Flag Warning - National Weather Service warning for long duration hazard.nowCOAST Lightning Strike Density - 15-minute Satellite Emulated Lightning Strike Density imagery for the last several hours.nowCOAST Radar - Weather Radar (NEXRAD) Reflectivity Mosaics from NOAA MRMS for Alaska, CONUS, Puerto Rico, Guam, and Hawaii for last several hours.
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  • SCEMD KYZ-Zone Lookup
    This is South Carolina Emergency Management Division's Know Your Zone Hurricane Evacuation Zone Web Application.  Users are encouraged to find out if their address falls within a designated evacuation zone.   Always listen to local authorities on evacuation information.
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  • Puerto Rico Planning Viewer
    The Puerto Rico Planning Viewer serves as a public facing mapping tool with critical infrastructure and other useful layers like the Advisory Base Flood Elevation (ABFE). This viewer provides an alternative for our partners and stakeholders who don't have GIS capabilities or those that need a quick snapshot for reference.
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  • CUSEC Regional Information Sharing Platform (RISP)
    DO NOT DELETE OR MODIFY THIS ITEM. This item is managed by the ArcGIS Hub application. To make changes to this site, please visit https://hub.arcgis.com/admin/
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  • Nevada Wildfire Info Dashboard - Desktop
    This dashboard is best viewed using a desktop or laptop computer. For an enhanced viewing experience on mobile devices please use the NV Wildfire Info mobile version dashboardAll data displayed on this map is near real-time. There are two ways in which this happens: Web service based data and a mobile mapping application called Field Maps. Web services are updated regularly ranging from every minute to once a month. All web services in this map are refreshed automatically to ensure the latest data being provided is displayed. Data collected through the use of Field Maps is done so by firefighters on the ground. The Field Maps application is consuming, creating, and editing data that are stored in ArcGIS Online. These data are then fed directly in to this map. To learn more about these web mapping technologies, visit the links below:Web ServicesArcGIS Field MapsArcGIS OnlineWeb Services used in this map:(visit link to learn more about each service)IRWIN - A central hub that orchestrates data between various fire reporting applications. When a new incident is created and/or updated by a dispatch center or other fire reporting system, it is then displayed on the map using the Integrated Reporting of Wildland-Fire Information (IRWIN) service. All layers below are derived from the same IRWIN service and automatically refresh every five minutes:New Starts (last 24hrs) - Any incident that has occurred within the last rolling 24 hour time period.Current Large Incidents - Incidents that have created an ICS 209 document at the type 3 Incident Commander (IC) level and above and are less than 100% contained.Ongoing - Incidents that do not have a containment, control, or out date.Contained - Incidents with a containment date but no control or out date.Controlled/Out (last 24hrs) - Incidents with a containment, control, and/or out date within the last rolling 24 hour time period.Controlled/Out - Incidents with a containment, control, and/or out date. Layer turned off by default.Season Summary - All incidents year to date. Layer turned off by default.ArcGIS Online/Field Maps - Part of the Esri Geospatial Cloud, ArcGIS Online and Collector enables firefighters to use web maps created in ArcGIS Online on mobile devices using the Collector application to capture and edit data on the fireline. Data may be captured and edited in both connected and disconnected environments. When data is submitted back to the web service in ArcGIS Online, it is then checked for accuracy and approved for public viewing.Fire Perimeter - Must be set to 'Approved' and 'Public' to be displayed on the map. Automatically refreshes every five minutes.NOAA nowCOAST - Provides web services of near real-time observations, analyses, tide predictions, model guidance, watches/warnings, and forecasts for the coastal United States by integrating data and information across NOAA, other federal agencies and regional ocean and weather observing systems (source).  All layers below automatically refresh every five minutes.Tornado Warning - National Weather Service warning for short duration hazard.Severe Thunderstorm Warning - National Weather Service warning for short duration hazard.Flash Flood Warning - National Weather Service warning for short duration hazard.Red Flag Warning - National Weather Service warning for long duration hazard.nowCOAST Lightning Strike Density - 15-minute Satellite Emulated Lightning Strike Density imagery for the last several hours.nowCOAST Radar - Weather Radar (NEXRAD) Reflectivity Mosaics from NOAA MRMS for Alaska, CONUS, Puerto Rico, Guam, and Hawaii for last several hours.
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  • DR-4875-KY
    An overview of all current federally declared disaster counties in the country.
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  • FEMA Disaster Declarations
    {{description}}
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  • LOMAs
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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  • PROD - NFHL - WMA
    OverviewThis Web Mapping Application provides the ability to print maps based on FEMA's National Flood Hazard Layer (NFHL) dataset. This application should only be used for areas where digital Flood Insurance Rate Map (FIRM) data is available; for other areas it is recommended that users use printing tools available at the MSC.FEMA's National Flood Hazard LayerThe National Flood Hazard Layer (NFHL) dataset represents the current effective flood data for the country, where maps have been modernized.  It is a compilation of effective Flood Insurance Rate Map (FIRM) databases and Letters of Map Change (LOMCs). The NFHL is updated as studies go effective. For more information, visit FEMA's Map Service Center (MSC). Base Map ConsiderationsThe default base map is from a USGS service and conforms to FEMA's specification for horizontal accuracy.  This base map  from The National Map (TNM) consists of National Agriculture Imagery Program (NAIP) and high resolution orthoimagery (HRO) that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a map.   This map should be considered the best online resource to use for official National Flood Insurance Program (NFIP) purposes when determining locations in relation to regulatory flood hazard information.  If a different base map is used with the NFHL, the accuracy specification may not be met and the resulting map should be used for general reference only, and not official NFIP purposes.Users can download a simplified base map from the USGS service via: https://viewer.nationalmap.gov/services/ For the specifics of FEMA’s policy on the use of digital flood hazard data for NFIP purposes see standards 605 and 606 in FEMA Policy: Standards for Flood Risk Analysis and Mapping available from Guidelines and Standards for Flood Risk Analysis and Mapping Activities Under the Risk MAP Program | FEMA.govFurther InformationFor more flood map data, tool, and viewing options, visit National Flood Hazard Layer | FEMA.gov
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  • Hawaii Lava Flow Hazard Zones
    Feature layer for the tutorial Analyze volcano shelter access in Hawaii. This layer is a copy of the Volcano Lava Flow Hazard Zones layer by HawaiiStateGIS. The boundaries and classification of lava flow hazard zones on Hawaii Island were first mapped by the US Geological Survey in 1974. This classification scheme divides the island into 18 major zones that are ranked from 1 through 9 based on the probability of coverage by lava flows. The  risk levels are based primarily on the location and frequency of historic eruptions (those for which there are written records or that are known from the oral traditions of the Hawaiians) and the geologic mapping and scientific dating of the old flows from prehistoric eruptions.Much of the USGS work was based on a paper called Geologic Map of the Island of Hawaii by Edward Wolfe and Jean Morris.
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  • Tsunami Evacuation Zones
    This is the Most Current Tsunami Evacuation Zone Web AppThis application is to provide evacuation guidance during a tsunami event. 
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  • Hurricane Operations Dashboard
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  • Northwest Large Fire Interactive Web Map
    {{description}}
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  • Hurricane Hazard Overview
    The hurricane hazard overview application is based on NOAA's Surge Inundation and Hurricane Force Winds data. This application also provides an overview of active watches, warnings, 3-day Rainfall QPF and Stream Gauge Forecasts.
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  • National Shelter System Facilities
    The National Shelter System feature class/shapefile contains facilities that can house individuals in the event of an issued evacuation for the facilities area. This feature class/shapefile’s attribution contains physical, demographic, and capacity information for facilities in the continental United States and some of its territories. The purpose of this feature class/shapefile is to provide accurate locations for a potential shelter in the event of a disaster. The facilities included have been designated as a Shelter by either the Federal Emergency Management Agency (FEMA) or the American Red Cross (ARC). THIS LAYER SHOULD NOT BE USED TO DETERMINE THE OPERATIONAL STATUS OF A FACILITY DURING AN ACTIVE EMERGENCY.
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  • Sentinel-2 Views
    Sentinel-2 Level-1C imagery with on-the-fly renderings for visualization. This imagery layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery.Sentinel-2 imagery can be applied across a number of industries, scientific disciplines, and management practices. Some applications include, but are not limited to, land cover and environmental monitoring, climate change, deforestation, disaster and emergency management, national security, plant health and precision agriculture, forest monitoring, watershed analysis and runoff predictions, land-use planning, tracking urban expansion, highlighting burned areas and estimating fire severity.Geographic CoverageGlobalContinental land masses from 65.4° South to 72.1° North, with these special guidelines:All coastal waters up to 20 km from the shoreAll islands greater than 100 km2All EU islandsAll closed seas (e.g. Caspian Sea)The Mediterranean Sea Temporal CoverageThis layer includes a rolling collection of Sentinel-2 imagery acquired within the past 14 months.This layer is updated daily with new imagery.The revisit time for each point on Earth is every 5 days.The number of images available will vary depending on location. Product LevelThis service provides Level-1C Top of Atmosphere imagery.Alternatively, Sentinel-2 Level-2A is also available. Image Selection/FilteringThe most recent and cloud free images are displayed by default.Any image available within the past 14 months can be displayed via custom filtering.Filtering can be done based on attributes such as Acquisition Date, Estimated Cloud Cover, and Tile ID.Tile_ID is computed as [year][month][day]T[hours][minutes][seconds]_[UTMcode][latitudeband][square]_[sequence]. More… Visual RenderingDefault rendering is Natural Color (bands 4,3,2) with Dynamic Range Adjustment (DRA).The DRA version of each layer enables visualization of the full dynamic range of the images.Rendering (or display) of band combinations and calculated indices is done on-the-fly from the source images via Raster Functions.Various pre-defined Raster Functions can be selected or custom functions created.Available renderings include: Agriculture with DRA, Bathymetric with DRA, Color-Infrared with DRA, Natural Color with DRA, Short-wave Infrared with DRA, Geology with DRA, NDMI Colorized, Normalized Difference Built-Up Index (NDBI), NDWI Raw, NDWI - with VRE Raw, NDVI – with VRE Raw (NDRE), NDVI - VRE only Raw, NDVI Raw, Normalized Burn Ratio, NDVI Colormap. Multispectral BandsBandDescriptionWavelength (µm)Resolution (m)1Coastal aerosol0.433 - 0.453602Blue0.458 - 0.523103Green0.543 - 0.578104Red0.650 - 0.680105Vegetation Red Edge0.698 - 0.713206Vegetation Red Edge0.733 - 0.748207Vegetation Red Edge0.773 - 0.793208NIR0.785 - 0.900108ANarrow NIR0.855 - 0.875209Water vapour0.935 - 0.9556010SWIR – Cirrus1.365 - 1.3856011SWIR-11.565 - 1.6552012SWIR-22.100 - 2.28020Additional NotesOverviews exist with a spatial resolution of 150m and are updated every quarter based on the best and latest imagery available at that time.To work with source images at all scales, the ‘Lock Raster’ functionality is available. NOTE: ‘Lock Raster’ should only be used on the layer for short periods of time, as the imagery and associated record Object IDs may change daily.This ArcGIS Server dynamic imagery layer can be used in Web Maps and ArcGIS Desktop as well as Web and Mobile applications using the REST based Image services API.Images can be exported up to a maximum of 4,000 columns x 4,000 rows per request. Data SourceSentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS, or alternatively access EarthExplorer or the Copernicus Data Space Ecosystem to download the scenes.For information on Sentinel-2 imagery, see Sentinel-2.
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  • National Water Model (Hourly Forecast)
    Retirement Notice: This item is in mature support as of November 2024 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. The National Water Model (NWM) is a new product from the National Weather Service that forecasts streamflow volume and velocity over the entire continental United States. It is a hydrologic model that predicts the flow in every river reach of the National Hydrography Dataset, mathematically modeling physical processes like snowmelt, infiltration and the movement of water through soil layers in order to determine how much of the NWS precipitation forecast becomes runoff, then routing that runoff through the river network. This is the short term forecast, which is run every hour, predicting streamflow over the next eighteen hours at one hour interval. What Can You Do With This Layer?This map service is designed for fast data visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View the forecast data sequentially using the time slider, which is set to one hour intervals by default, by Enabling Time Animation. This layer type is not recommended for use in analysis. RevisionsSep 23, 2020: Updated 'qout' field values for Water Bodies. Null values are now being replaced with '-9999' in order to correct an identify issue at small scales. Also updated Pop-Up to reflect that the 'qout' value is Not Available (N/A).Nov 18, 2021: Updated Feature set to v2.1 of the NWM data. Added 'qnormal' field to provide expected monthly flow for given forecast. 
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  • National Water Model (Hourly Anomaly Forecast)
    Retirement Notice: This item is in mature support as of November 2024 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.The National Water Model (NWM) is a new product from the National Weather Service that forecasts streamflow volume and velocity over the entire continental United States. It is a hydrologic model that predicts the flow in every river reach of the National Hydrography Dataset, mathematically modeling physical processes like snowmelt, infiltration and the movement of water through soil layers in order to determine how much of the NWS precipitation forecast becomes runoff, then routing that runoff through the river network. This is the short term forecast, which is run every hour, predicting streamflow over the next eighteen hours at one hour intervals. Rivers are symbolized according to how the streamflow differs from the monthly normal.What Can You Do With This Layer?This map service is designed for fast data visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View forecast  data sequentially using the time slider, which is set to one hour intervals by default, by Enabling Time Animation. This layer type is not recommended for use in analysis. RevisionsSep 23, 2020: Updated 'qout' field values for Water Bodies. Null values are now being replaced with '-9999' in order to correct an identify issue at small scales. Also updated Pop-Up to reflect that the 'qout' value is Not Available (N/A).Nov 18, 2021: Updated Feature set to v2.1 of the NWM data. Added 'qnormal' field to provide expected monthly flow for given forecast.
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  • National Water Model (10 Day Forecast)
    Retirement Notice: This item is in mature support as of November 2024 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.The National Water Model (NWM) is a new product from the National Weather Service that forecasts streamflow volume and velocity over the entire continental United States. It is a hydrologic model that predicts the flow in every river reach of the National Hydrography Dataset, mathematically modeling physical processes like snowmelt, infiltration and the movement of water through soil layers in order to determine how much of the NWS precipitation forecast becomes runoff, then routing that runoff through the river network. This is the medium term forecast, which is run once a day, predicting streamflow over the next ten days at three hour intervals.What Can You Do With This Layer?This map service is designed for fast data visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View the forecast data sequentially using the time slider, which is set to three hour intervals by default, by Enabling Time Animation. This layer type is not recommended for use in analysis. RevisionsSep 23, 2020: Updated 'qout' field values for Water Bodies. Null values are now being replaced with '-9999' in order to correct an identify issue at small scales. Also updated Pop-Up to reflect that the 'qout' value is Not Available (N/A).Nov 18, 2021: Updated Feature set to v2.1 of the NWM data. Added 'qnormal' field to provide expected monthly flow for given forecast.
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  • National Water Model (10 Day Anomaly Forecast)
    Retirement Notice: This item is in mature support as of November 2024 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.The National Water Model (NWM) is a new product from the National Weather Service that forecasts streamflow volume and velocity over the entire continental United States. It is a hydrologic model that predicts the flow in every river reach of the National Hydrography Dataset, mathematically modeling physical processes like snowmelt, infiltration and the movement of water through soil layers in order to determine how much of the NWS precipitation forecast becomes runoff, then routing that runoff through the river network. This is the medium term forecast, which is run once a day, predicting streamflow over the next ten days at three hour intervals. Rivers are symbolized according to how the streamflow differs from the monthly normal.What Can You Do With This Layer?This map service is designed for fast data visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View the forecast data sequentially using the time slider, which is set to three hour intervals by default, by Enabling Time Animation. This layer type is not recommended for use in analysis. RevisionsSep 23, 2020: Updated 'qout' field values for Water Bodies. Null values are now being replaced with '-9999' in order to correct an identify issue at small scales. Also updated Pop-Up to reflect that the 'qout' value is Not Available (N/A).Nov 18, 2021: Updated Feature set to v2.1 of the NWM data. Added 'qnormal' field to provide expected monthly flow for given forecast.
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  • Miami-Dade Flood Zone - Web App
    The Miami-Dade County Flood Zones web site will help you determine if your property is in a potential flood risk area.
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  • Sea Surface Temperature (C) (Mature Support)
    Important Note: This item is in mature support as of April 2024 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Sea Surface Temperature is a key climate and weather measurement used for weather prediction, ocean forecasts, tropical cyclone forecasts, and in coastal applications such as fisheries, pollution monitoring and tourism. El Niño and La Niña are two examples of climate events which are forecast through the use of sea surface temperature maps. The Naval Oceanographic Office sea surface temperature dataset is calculated from satellite-based microwave and infrared imagery. These data are optimally interpolated to provide a daily, global map of the midday (12:00 pm) sea surface temperature. Learn more about the source data. Phenomenon Mapped: Sea Surface TemperatureUnits: Degrees CelsiusTime Interval: DailyTime Extent: 2008/04/01 12:00:00 UTC to presentCell Size: 11 kmSource Type: ContinuousPixel Type: Floating PointData Projection: GCS WGS84Mosaic Projection: Web Mercator Auxiliary SphereExtent: Global OceansSource: Naval Oceanographic OfficeUpdate Cycle: SporadicArcGIS Server URL: https://earthobs2.arcgis.com/arcgisTime: This is a time-enabled layer. It shows the average sea surface temperature during the map's time extent, or if time animation is disabled, a time range can be set using the layer's multidimensional settings. The map shows the average of all days in the time extent. Minimum temporal resolution is one day; maximum is one month.What can you do with this layer?Visualization: This layer can be used for visualization online in web maps and in ArcGIS Desktop.Analysis: This layer can be used as an input to geoprocessing tools and model builder. Units are in degrees Celsius, and there is a processing template to convert pixels to Fahrenheit. Do not use this layer for analysis while the Cartographic Renderer processing template is applied.This layer is part of the Living Atlas of the World that provides an easy way to explore the earth observation layers and many other beautiful and authoritative maps on hundreds of topics.
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  • {{name}}
    {{description}}
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  • DR-4874-MS
    An overview of all current federally declared disaster counties in the country.
    6
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  • POST 5km Isaias 20200803
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  • Water Areas
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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  • {{name}}
    {{description}}
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  • USA Census Populated Place Areas
    U.S. Census Populated Place Areas represents the 2020 U.S. Census populated place areas of the United States that include incorporated places, cities, and census designated places identified by the U.S. Census Bureau.This layer is updated annually. The geography is sourced from U.S. Census Bureau 2020 TIGER FGDB (National Sub-State) and edited using TIGER Hydrography to add a detailed coastline for cartographic purposes. Attribute fields include 2020 total population from the U.S. Census Public Law 94 data. The Population Class field values represent population ranges as follows:Population from 0 - 249Population from 250 - 499Population from 500 - 999Population from 1,000 - 2,499Population from 2,500 - 9,999Population from 10,000 - 49,999Population from 50,000 - 99,999Population from 100,000 - 249,999Population from 250,000 - 499,999Population 500,000 and over This ready-to-use layer can be used in ArcGIS Pro and in ArcGIS Online and its configurable apps, dashboards, StoryMaps, custom apps, and mobile apps. The data can also be exported for offline workflows. Cite the 'U.S. Census Bureau' when using this data.
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  • WUI Datasets
    Zipped download size is approximately 4.97 GB. 
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  • PDA Tools and Resources
    This Hub Page is to provide information on PDAs including the SLTT IDA Damage Assessment System tools for collecting damage data and information.
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  • US Virgin Islands - Advisory Flood Hazard Resources Map
    FEMA, as the administrator of the National Flood Insurance Program (NFIP), has created Advisory Base Flood Elevations (ABFEs) and storm erosion areas for the United States Virgin Islands (USVI). The ABFE information, storm erosion data, and related layers depicted on this web service for the USVI can serve as a guide to understanding current flood and erosion hazard conditions that communities should build to in order to reduce impacts of similar events in the future. All elevations included on the map are referenced to the Virgin Island Vertical Datum of 2009 (VIVD 09).Data DownloadGIS data and PDF maps that support this web map can be downloaded at the locations indicated below:GIS Data in shapefile format can be downloaded by clicking hereGIS Data in ESRI's File GeoDatabase format can be downloaded by clicking herePDF Maps:Map panels for the entire territory, in Portable Document Format (PDF) can be downloaded by clicking here. The downloaded zip file contains map panels for the entire study area. A grid of all map panels (panel index) in PDF format for St.Thomas and St.John can be accessed here.A grid of all map panels (panel index) in PDF format for St.Croix can be accessed here.Individual map panels can be accessed directly from the map viewer, by locating the panel of interest and by clicking on the panel to activate a pop-up that contains the link to the panel. 
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  • Mid-Atlantic Flooding from Tropical Storm Lee, Sept. 2011
    From September 6-15, 2011, extreme rainfall from the remnants of Tropical Storm Lee caused devastating flooding across parts of the Mid-Atlantic.Occurring just two weeks after Hurricane Irene wreaked havoc on the area, the floods of Lee reached levels in New York and Pennsylvania which had never been seen before, and in some places, were rivalled only by floods of the notorious Hurricane Agnes nearly 40 years prior.As we look back on the historic floods of Tropical Storm Lee, let us review how the storm unfolded and listen to the stories of the floods, as told by some of the weather and river forecasters and water managers who were on duty during those fateful days.
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  • USA Structures
    USA Structures This feature layer, utilizing Federal Emergency Management Agency (FEMA) data, displays footprints for all structures (buildings) greater than 450 square feet in the United States and its territories. According to FEMA, “FEMA’s Response Geospatial Office, Oak Ridge National Laboratory, and the U.S. Geological Survey collaborated to build and maintain the nation’s first comprehensive inventory of all structures larger than 450 square feet for use in Flood Insurance Mitigation, Emergency Preparedness and Response.”Note: these states and territories were updated in this cycle: Alabama, Alaska, Connecticut, Delaware, District of Columbia, Florida, Geogia, Hawaii, Iowa, Kansas, Kentucky, Louisiana, Maine, Michigan, Minnesota, Mississippi, Montana, Nebraska, New Hampshire, New Mexico, New York, North Carolina, North Dakota, Oregon, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Washington, West Virginia, Wisconsin, Wyoming, Puerto Rico, Virginia, Virgin Islands, Guam, American Samoa, and Northern Mariana Islands.Assembly Building in Dallas County, TexasData currency: June 6, 2025Data source: FEMA's USA Structures State GDB Download SiteData modification: added State FIPS, PROP_CNTY, and Global ID fields. The field type was changed from string to integer for POP_MEDIAN, POP_CI95_lower, POP_CI95_UPPER.For more information: USA StructuresSupport documentation:MetadataHazus Inventory Technical Manual For feedback please contact: Esri_US_Federal_Data@esri.com Federal Emergency Management Agency Per FEMA, “We leverage a tremendous capacity to coordinate within the federal government to make sure America is equipped to prepare for and respond to disasters.”
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  • Kilauea Imagery - Vantor WV03
    The 2018 Kilauea volcanic eruption in Hawaii has opened up dozens of lava vents and produced extensive lava flows.  This Web Map contains multiple renderings from a Vantor WorldView-3 collect on May 19, 2018.  Leveraging the Near Infrared and Short Wave Infrared wavelengths captured by WorldView-3 can not only help to define the lava flow extents but also identify hot spots.  The infrared imagery also helps to peer through smoke that may otherwise occlude the ground. Renderings Included:Near Infrared (8,7,6) at 1.2m spatial resolutionSWIR (S6,S3,S1)* at 7.5m spatial resolutionNatural Color (5,3,2) at 1.2m spatial resolution" *There are multiple sensors on board WorldView-3.  All the bands in the SWIR layer here are in the SWIR spectrum.  There are a total of 8 different SWIR (S)bands available.
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  • Community
    The Southeast Idaho (Bear Lake, Caribou, Franklin, and Oneida Counties) Estimated Floodplain Feature Service displays estimated floodplains and water surface elevations (valid February 3, 2020). For additional information, please contact FEMA Region X's Regional Service Center: RegionXHelpDesk@starr-team.com.
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    last week
  • Tribe
    The Southeast Idaho (Bear Lake, Caribou, Franklin, and Oneida Counties) Estimated Floodplain Feature Service displays estimated floodplains and water surface elevations (valid February 3, 2020). For additional information, please contact FEMA Region X's Regional Service Center: RegionXHelpDesk@starr-team.com.
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    last week
  • County
    The Southeast Idaho (Bear Lake, Caribou, Franklin, and Oneida Counties) Estimated Floodplain Feature Service displays estimated floodplains and water surface elevations (valid February 3, 2020). For additional information, please contact FEMA Region X's Regional Service Center: RegionXHelpDesk@starr-team.com.
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    last week
  • Effective 1-Percent Floodplain (Oneida 1985) (USACE)
    The Southeast Idaho (Bear Lake, Caribou, Franklin, and Oneida Counties) Estimated Floodplain Feature Service displays estimated floodplains and water surface elevations (valid February 3, 2020). For additional information, please contact FEMA Region X's Regional Service Center: RegionXHelpDesk@starr-team.com.
    6
    last week
  • Effective 1-Percent Floodplain (Franklin 1985) (USACE)
    The Southeast Idaho (Bear Lake, Caribou, Franklin, and Oneida Counties) Estimated Floodplain Feature Service displays estimated floodplains and water surface elevations (valid February 3, 2020). For additional information, please contact FEMA Region X's Regional Service Center: RegionXHelpDesk@starr-team.com.
    6
    last week
  • Estimated 1-Percent Floodplain (2020.02.03)
    The Southeast Idaho (Bear Lake, Caribou, Franklin, and Oneida Counties) Estimated Floodplain Feature Service displays estimated floodplains and water surface elevations (valid February 3, 2020). For additional information, please contact FEMA Region X's Regional Service Center: RegionXHelpDesk@starr-team.com.
    6
    last week
  • Study Reach (2020.02.03)
    The Southeast Idaho (Bear Lake, Caribou, Franklin, and Oneida Counties) Estimated Floodplain Feature Service displays estimated floodplains and water surface elevations (valid February 3, 2020). For additional information, please contact FEMA Region X's Regional Service Center: RegionXHelpDesk@starr-team.com.
    6
    last week
  • Estimated 1-Percent Water Surface Elevation (2020.02.03)
    The Southeast Idaho (Bear Lake, Caribou, Franklin, and Oneida Counties) Estimated Floodplain Feature Service displays estimated floodplains and water surface elevations (valid February 3, 2020). For additional information, please contact FEMA Region X's Regional Service Center: RegionXHelpDesk@starr-team.com.
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    last week
  • Southeast Idaho (Bear Lake, Caribou, Franklin, and Oneida Counties) - Estimated Floodplain (2020.02.03) - Feature Service
    The Southeast Idaho (Bear Lake, Caribou, Franklin, and Oneida Counties) Estimated Floodplain Feature Service displays estimated floodplains and water surface elevations (valid February 3, 2020). For additional information, please contact FEMA Region X's Regional Service Center: RegionXHelpDesk@starr-team.com.
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    last week
  • Best Available Floodplain Data Layer (Indiana DNR)
    EditThis map shows the Best Available Floodplain layer, as produced and managed by the Indiana Department of Natural Resources.  Data sources include the FEMA National Flood Hazard Layer (NFHL), data from detailed studies performed by / reviewed by the IDNR, and data from the Indiana Zone A floodplain project.  
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    last week
  • Tropical Weather
    Storm forecast, positions, and track data from the National Hurricane Center, including watches/warning, current storms and Atlantic graphic tropical weather outlook.Current Graphical Tropical Weather Outlook
    2
    last week
  • KYZ Map
    {{description}}
    2
    last week
  • DR-4872-MO
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • NOAA Hurricane Isaias Post-Event Imagery (SC/NC 8/4/20)
    {{description}}
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    last week
  • Subbasins
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Alluvial Fans
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • FIRM Panels
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Seclusion Boundaries
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Flood Hazard Zones
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Flood Hazard Boundaries
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Hydrologic Reaches
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Primary Frontal Dunes
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • General Structures
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Levees
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Political Jurisdictions
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Water Lines
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Limit of Moderate Wave Action
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Transect Baselines
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Profile Baselines
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Base Flood Elevations
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Coastal Transects
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Cross-Sections
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • Station Start Points
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • High Water Marks
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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  • Nodes
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
    7
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  • Gages
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
    7
    last week
  • LOMRs
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
    7
    last week
  • Hurricane Evacuation Routes (Archive)
    This feature layer has been archived. It will no longer be updated or maintained.   Hurricane Evacuation RoutesThis feature layer, utilizing data from the U.S. Government, displays the locations of hurricane evacuation routes in the United States. Per the Gulf Coast Water Authority, “Hurricane evacuation routes are specially designated roadways used to provide the safest and most timely evacuation of coastal areas during a hurricane threat.”  Houston, Texas area hurricane evacuation routes Data currency: Caution should be exercised by the user of this feature layer. This data is over seventeen years old and has not been updated since creation.Data modification: NoneFor feedback, please contact: ArcGIScomNationalMaps@esri.com
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    last week
  • National Shelter System - Open Shelters
    National Shelter System - Open Shelters This map layer displays Open Shelters in the United States from the Federal Emergency Management Agency's (FEMA) ESF6-SS database. Per FEMA, “The ESF6-SS database is synchronized every morning with the American Red Cross shelter database. After this daily refresh, FEMA GIS connects every 20 minutes to the FEMA ESF6-SS database looking for any shelter updates that occur throughout the day in the the FEMA ESF6-SS.” Canyon Del Oro High School Open Shelter Data currency: Current FEMA service (NSS/OpenShelters).Data modification: NoneFor more information: FEMA National Shelter System Fact SheetFor feedback please contact: ArcGIScomNationalMaps@esri.com Federal Emergency Management Agency Per FEMA, "We leverage a tremendous capacity to coordinate within the federal government to make sure America is equipped to prepare for and respond to disasters."
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  • Galveston County Hurricane Evacuation Map
    Galveston County Hurricane Evacuation MapWeather Watches and WarningsLive stream GaugesTraffic and IncidentsFueling Stations Zip Zone'sEvacuation Routes
    2
    last week
  • USNG 100m
    U.S. National Grid This feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications.  This standard defines the US National Grid.  The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Notes:Popups can be viewed for the USNG 1000m and USNG 100m layers.The USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection. U.S. National Grid - Grid Zone Designations Top: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: 2025Data source: USNG GDBData modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; Region For more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial address For feedback, please contact: ArcGIScomNationalMaps@esri.com Federal Geographic Data Committee (FGDC) Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government.  In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."
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    last week
  • USNG 1000m
    U.S. National Grid This feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications.  This standard defines the US National Grid.  The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Notes:Popups can be viewed for the USNG 1000m and USNG 100m layers.The USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection. U.S. National Grid - Grid Zone Designations Top: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: 2025Data source: USNG GDBData modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; Region For more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial address For feedback, please contact: ArcGIScomNationalMaps@esri.com Federal Geographic Data Committee (FGDC) Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government.  In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."
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    last week
  • USNG 10000m
    U.S. National Grid This feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications.  This standard defines the US National Grid.  The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Notes:Popups can be viewed for the USNG 1000m and USNG 100m layers.The USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection. U.S. National Grid - Grid Zone Designations Top: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: 2025Data source: USNG GDBData modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; Region For more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial address For feedback, please contact: ArcGIScomNationalMaps@esri.com Federal Geographic Data Committee (FGDC) Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government.  In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."
    6
    last week
  • USNG 100000m
    U.S. National Grid This feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications.  This standard defines the US National Grid.  The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Notes:Popups can be viewed for the USNG 1000m and USNG 100m layers.The USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection. U.S. National Grid - Grid Zone Designations Top: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: 2025Data source: USNG GDBData modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; Region For more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial address For feedback, please contact: ArcGIScomNationalMaps@esri.com Federal Geographic Data Committee (FGDC) Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government.  In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."
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    last week
  • USNG 6x8 Zones
    U.S. National Grid This feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications.  This standard defines the US National Grid.  The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Notes:Popups can be viewed for the USNG 1000m and USNG 100m layers.The USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection. U.S. National Grid - Grid Zone Designations Top: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: 2025Data source: USNG GDBData modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; Region For more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial address For feedback, please contact: ArcGIScomNationalMaps@esri.com Federal Geographic Data Committee (FGDC) Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government.  In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."
    6
    last week
  • U.S. National Grid
    U.S. National Grid This feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications.  This standard defines the US National Grid.  The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Notes:Popups can be viewed for the USNG 1000m and USNG 100m layers.The USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection. U.S. National Grid - Grid Zone Designations Top: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: 2025Data source: USNG GDBData modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; Region For more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial address For feedback, please contact: ArcGIScomNationalMaps@esri.com Federal Geographic Data Committee (FGDC) Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government.  In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."
    2
    last week
  • Latest Earthquake Monitoring Dashboard
    This dashboard monitors the latest earthquake events around the world. It automatically updates when new events come in to show you where they occurred, how significant they were, and if any there were any resulting tsunamis. The real-time earthquake data, provided by the Living Atlas, was used to create a web map that was then used in this dashboard. To learn about the creation of this dashboard, read the blog: Making an Auto-Focusing Real-Time Dashboard. Feel free to make a copy and see how it is configured.
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  • Flood Hazard
    2
    last week
  • Fire Camera Viewsheds
    The California Governor’s Office of Emergency Services’ (Cal OES) CalOES California Webcams is a project to consolidate internet webcams that Cal OES might find useful during an incident.  The primary audience is the general public as well as Cal OES response personnel and supporting partners. This Service Contains 2 layers:Camera Locations - This layer contains 4 Types of Cameras (The links to the images or video always point to the last updated image or live video:Fire Cameras - These include ALERTCalifornia and Alert Wildfire (Pan Tilt Zoom) Cameras. These will have their direction updated every minute.Traffic Cameras - These points will update nightly with the status of the camera and will include any new cameras.Tsunami Cameras - These will be included soon from the Tsunami Camera networkOther Cameras - Other camera networks that don't fall into the above categories that will be included as identified and deemed useful.To filter down to a specific type of camera, use the "Camera_Type" field and category names above.To filter down to only video or photos, use the "Display_Type" field and the values of (Picture, Video)Fire Camera Viewsheds - This layer contains the view sheds for the cameras in the ALERTCalifornia and Alert Wildfire Network. These are updated every minute. This layer has the same fields as the locations.The user assumes the entire risk related to their use of this information. Cal OES provides such information "as is," and disclaims any and all warranties, whether express or implied, including (without limitation) any implied warranties of merchantability or fitness for a particular purpose. In no event will Cal OES be liable to you or to any third party for any direct, indirect, incidental, consequential, special or exemplary damages or lost profit resulting from any use or misuse of this data.Cal OES GIS will update as additional webcams are found that have the required information to be put in a GIS and time permits.Sources:ALERTCaliforniaAlert WildfireCalTransHigh Performance Wireless Research & Education Network
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    last week
  • Camera Locations
    The California Governor’s Office of Emergency Services’ (Cal OES) CalOES California Webcams is a project to consolidate internet webcams that Cal OES might find useful during an incident.  The primary audience is the general public as well as Cal OES response personnel and supporting partners. This Service Contains 2 layers:Camera Locations - This layer contains 4 Types of Cameras (The links to the images or video always point to the last updated image or live video:Fire Cameras - These include ALERTCalifornia and Alert Wildfire (Pan Tilt Zoom) Cameras. These will have their direction updated every minute.Traffic Cameras - These points will update nightly with the status of the camera and will include any new cameras.Tsunami Cameras - These will be included soon from the Tsunami Camera networkOther Cameras - Other camera networks that don't fall into the above categories that will be included as identified and deemed useful.To filter down to a specific type of camera, use the "Camera_Type" field and category names above.To filter down to only video or photos, use the "Display_Type" field and the values of (Picture, Video)Fire Camera Viewsheds - This layer contains the view sheds for the cameras in the ALERTCalifornia and Alert Wildfire Network. These are updated every minute. This layer has the same fields as the locations.The user assumes the entire risk related to their use of this information. Cal OES provides such information "as is," and disclaims any and all warranties, whether express or implied, including (without limitation) any implied warranties of merchantability or fitness for a particular purpose. In no event will Cal OES be liable to you or to any third party for any direct, indirect, incidental, consequential, special or exemplary damages or lost profit resulting from any use or misuse of this data.Cal OES GIS will update as additional webcams are found that have the required information to be put in a GIS and time permits.Sources:ALERTCaliforniaAlert WildfireCalTransHigh Performance Wireless Research & Education Network
    11
    last week
  • CalOES California Webcams
    The California Governor’s Office of Emergency Services’ (Cal OES) CalOES California Webcams is a project to consolidate internet webcams that Cal OES might find useful during an incident.  The primary audience is the general public as well as Cal OES response personnel and supporting partners. This Service Contains 2 layers:Camera Locations - This layer contains 4 Types of Cameras (The links to the images or video always point to the last updated image or live video:Fire Cameras - These include ALERTCalifornia and Alert Wildfire (Pan Tilt Zoom) Cameras. These will have their direction updated every minute.Traffic Cameras - These points will update nightly with the status of the camera and will include any new cameras.Tsunami Cameras - These will be included soon from the Tsunami Camera networkOther Cameras - Other camera networks that don't fall into the above categories that will be included as identified and deemed useful.To filter down to a specific type of camera, use the "Camera_Type" field and category names above.To filter down to only video or photos, use the "Display_Type" field and the values of (Picture, Video)Fire Camera Viewsheds - This layer contains the view sheds for the cameras in the ALERTCalifornia and Alert Wildfire Network. These are updated every minute. This layer has the same fields as the locations.The user assumes the entire risk related to their use of this information. Cal OES provides such information "as is," and disclaims any and all warranties, whether express or implied, including (without limitation) any implied warranties of merchantability or fitness for a particular purpose. In no event will Cal OES be liable to you or to any third party for any direct, indirect, incidental, consequential, special or exemplary damages or lost profit resulting from any use or misuse of this data.Cal OES GIS will update as additional webcams are found that have the required information to be put in a GIS and time permits.Sources:ALERTCaliforniaAlert WildfireCalTransHigh Performance Wireless Research & Education Network
    2
    last week
  • Drought Regions of New Jersey
    This data delineates New Jersey drought regions. Drought regions provide a regulatory basis for coordinating local responses to regional water-supply shortages. The six drought regions are based on watershed and water-supply considerations. Drought region boundaries coincide with municipal boundaries as referenced by the N.J. Dept of Environmental Protection (NJDEP). Each municipality in New Jersey is assigned to a drought region based on the watershed covering and supplying water to the municipality. Each data record of the file includes name of the drought region. This is the second version of the drought regions. It differs from the original delineation in two ways: 1) The number of drought regions were expanded from five to six in order to account for water-supply issues identified for the New Jersey coastal plain. The original version included the north part of the Coastal Plain in the central region. Version 2 separates a north coastal region, consisting of Monmouth and northern Ocean Counties, from the coastal region to the south. 2) Municipalities in Mercer County receiving water from the Trenton Water Dept. were moved into the southwest region from the northwest. Pennington and Hopewell boroughs were also moved to the southwest region. This is the third version of the drought regions and was released in May 2004. There are two changes from the second version. Roosevelt Boro in Monmouth County was moved to the southwest drought region (from the coastal north) and Berlin Twp in Camden County was moved to the coastal south drought region (from the southwest). Both changes were made in recognition of the location of actual water supply to these municipalities.
    6
    last week
  • Fairfield, OH: Flood Zone/ Target Area
    Used in Fairfield OH Mitigation success storymap
    1
    last week
  • Know Your Zone: Maine Hurricane Evacuation Dashboard
    This dashboard was designed by the Maine Emergency Management Agency to assist Maine coastal communities and visitors to find their hurricane evacuation zone and nearby designated evacuation routes. Information on evacuation zones and routes comes from the Maine Hurricane Evacuation Study. A secondary use of this dashboard is to share real-time information on incoming storm conditions; weather watches, advisories, and warnings; river flood data; coastal storm surge potential; and historic storm track data. The best way to access this dashboard is through the Maine Hurricane Evacuation Dashboard StoryMap: https://arcg.is/1uGvLz
    1
    last week
  • DR-4826-VT
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • NOAA Hurricane Isaias Post-Event Imagery (FL 8/3/20)
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    2
    last week
  • NFHL Availability
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
    7
    last week
  • Earthquake Web Map
    This is a continuously updated map of earthquake data for the last 90 days with a magnitude 3.5 or greater.  Zoom in to view the shake intensity around significant earthquakes.About the Data: Recent Earthquakes: This service presents recent earthquake information from the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) program. In addition to displaying earthquakes by magnitude, this service also presents earthquakes by impact. Impact is measured by population as well as models for economic and fatality loss. For more details, see: https://earthquake.usgs.gov/earthquakes/pager.
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  • Flood Hazard Areas (DFIRM) - Statewide
    [Metadata]  Flood Hazard Areas for the State of Hawaii as of December 2025 - downloaded from FEMA Map Service Center 12/29/25. For more information, please refer to summary metadata: https://files.hawaii.gov/dbedt/op/gis/data/s_fld_haz_ar_state.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis. The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. 
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    last week
  • Flood Hazard Areas (DFIRM) - Hawaii County
    [Metadata]  Flood Hazard Areas for the County of Hawaii as of December 2025 - downloaded from FEMA Flood Map Service Center, 12/29/25. See summary metadata: https://files.hawaii.gov/dbedt/op/gis/data/s_fld_haz_ar_state.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis. The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. 
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    last week
  • Flood Hazard Areas (DFIRM) - Honolulu County
    [Metadata]  Flood Hazard Areas for the City and County of Honolulu as of December 2025 - downloaded from FEMA Flood Map Service Center, 12/29/25. See summary metadata: https://files.hawaii.gov/dbedt/op/gis/data/s_fld_haz_ar_state.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis. The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. 
    10
    last week
  • Flood Hazard Areas (DFIRM) - Kauai County
    [Metadata]  Flood Hazard Areas for the County of Kauai as of December 2025 - downloaded from FEMA Flood Map Service Center, 12/29/25. See summary metadata: https://files.hawaii.gov/dbedt/op/gis/data/s_fld_haz_ar_state.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis. The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. 
    10
    last week
  • MDOT SHA S.T.O.R.M.
    MDOT SHA S.T.O.R.M.If you have feedback for this data layer, please Contact Us.Information displayed in this AVL feed consists of the following:- Vehicle feed is delayed- Vehicle breadcrumb trial is consisting of the last 30 minutes of vehicle travel- Vehicles displayed are only those that are active (movement in last 30 minutes) at the moment- Vehicles are only those classified as those that would perform winter operations- Vehicles displayed are not necessarily plowing, salting or physically at that moment performing snow removal/treatment operations at specific location(s)Questions or comments regarding MDOT SHA winter operations will not be addressed through this platform.MDOT SHA Website
    2
    last week
  • Caribbean GeoPortal - Powered by Esri
    Create your own initiative by combining existing applications with a custom site. Use this initiative to form teams around a problem and invite your community to participate.
    2
    last week
  • Severe Weather Web Map
    This map is intended to provide general awareness of severe weather. It is not intended to replace authoritative government websites but rather to provide situational awareness. This map can be used as a template for agencies wanting to add their own custom data.  This map contains layers from Esri's Living Atlas of the World including Storm Reports, Short-Term Weather Warnings,  Weather Watches and Warnings, and Snowfall Forecast. Click on the title of the layers below for more information about each layer and it's source as well as update frequency.  Weather Radar Data courtesy of Baron Weather, for more info click here.This map is provided by the Esri Disaster Response Program. For other severe weather related content and data, please visit the DRP Hub Severe Weather Page.
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  • Pansharpened Landsat
    This layer includes Landsat 8 and 9 imagery for use in visualization and analysis. This layer is time enabled and includes a number of pansharpened renderings on demand. The layer includes 15m imagery rendered on-the-fly as Natural Color with DRA.  It is updated daily with new imagery directly sourced from the USGS Landsat collection on AWS.Geographic CoverageGlobal Land Surface.Polar regions are available in polar-projected Imagery Layers:  Landsat Arctic Views and Landsat Antarctic Views.Temporal CoverageThis layer is updated daily with new imagery.Working in tandem, Landsat 8 and 9 revisit each point on Earth's land surface every 8 days.Most images collected from January 2015 to present are included.Approximately 5 images for each path/row from 2013 and 2014 are also included.Product LevelThe Landsat 8 and 9 imagery in this layer is comprised of Collection 2 Level-1 data.The imagery has Top of Atmosphere (TOA) correction applied.TOA is applied using the radiometric rescaling coefficients provided the USGS.The TOA reflectance values (ranging 0 – 1 by default) are scaled using a range of 0 – 10,000.Image Selection/FilteringA number of fields are available for filtering, including Acquisition Date, Estimated Cloud Cover, and Product ID.To isolate and work with specific images, either use the ‘Image Filter’ to create custom layers or add a ‘Query Filter’ to restrict the default layer display to a specified image or group of images.Visual RenderingDefault rendering is PanSharpened Natural Color images.Raster Functions enable on-the-fly rendering of band combinations and calculated indices from the source imagery.The DRA version of each layer enables visualization of the full dynamic range of the images.Other pre-defined Raster Functions can be selected via the renderer drop-down or custom functions can be created.This layer is part of a larger collection of Landsat Imagery Layers that you can use to perform a variety of mapping analysis tasks.Additional Usage NotesImage exports are limited to 4,000 columns x 4,000 rows per request.This dynamic imagery layer can be used in Web Maps and ArcGIS Pro as well as web and mobile applications using the ArcGIS REST APIs.WCS and WMS compatibility means this imagery layer can be consumed as WCS or WMS services.The Landsat Explorer App is another way to access and explore the imagery.Data SourceLandsat imagery is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). Data is hosted in Amazon Web Services as part of their Public Data Sets program.For information, see Landsat 8  and Landsat 9.
    2
    last week
  • Multispectral Landsat
    This layer includes Landsat GLS, Landsat 8, and Landsat 9 imagery for use in visualization and analysis. This layer is time enabled and includes a number band combinations and indices rendered on demand. The Landsat 8 and 9 imagery includes nine multispectral bands from the Operational Land Imager (OLI) and two bands from the Thermal Infrared Sensor (TIRS). It is updated daily with new imagery directly sourced from the USGS Landsat collection on AWS.Geographic CoverageGlobal Land Surface.Polar regions are available in polar-projected Imagery Layers:  Landsat Arctic Views and Landsat Antarctic Views.Temporal CoverageThis layer is updated daily with new imagery.Working in tandem, Landsat 8 and 9 revisit each point on Earth's land surface every 8 days.Most images collected from January 2015 to present are included.Approximately 5 images for each path/row from 2013 and 2014 are also included.This layer also includes imagery from the Global Land Survey* (circa 2010, 2005, 2000, 1990, 1975).Product LevelThe Landsat 8 and 9 imagery in this layer is comprised of Collection 2 Level-1 data.The imagery has Top of Atmosphere (TOA) correction applied.TOA is applied using the radiometric rescaling coefficients provided the USGS.The TOA reflectance values (ranging 0 – 1 by default) are scaled using a range of 0 – 10,000.Image Selection/FilteringA number of fields are available for filtering, including Acquisition Date, Estimated Cloud Cover, and Product ID.To isolate and work with specific images, either use the ‘Image Filter’ to create custom layers or add a ‘Layer Filter’ to restrict the default layer display to a specified image or group of images.To isolate a specific mission, use the Layer Filter and the dataset_id or SensorName fields.Visual RenderingThe default rendering in this layer is Agriculture (bands 6,5,2) with Dynamic Range Adjustment (DRA).  Brighter green indicates more vigorous vegetation.The DRA version of each layer enables visualization of the full dynamic range of the images.Rendering (or display) of band combinations and calculated indices is done on-the-fly from the source images via Raster Functions.Various pre-defined Raster Functions can be selected or custom functions can be created.Pre-defined functions:  Natural Color with DRA, Agriculture with DRA, Geology with DRA, Color Infrared with DRA, Bathymetric with DRA, Short-wave Infrared with DRA, Normalized Difference Moisture Index Colorized, NDVI Raw, NDVI Colorized, NBR Raw15 meter Landsat Imagery Layers are also available:  Panchromatic and Pansharpened.Multispectral Bands   Band Description Wavelength (µm) Spatial Resolution (m) 1 Coastal aerosol 0.43 - 0.45 30 2 Blue 0.45 - 0.51 30 3 Green 0.53 - 0.59 30 4 Red 0.64 - 0.67 30 5 Near Infrared (NIR) 0.85 - 0.88 30 6 SWIR 1 1.57 - 1.65 30 7 SWIR 2 2.11 - 2.29 30 8 Cirrus (in OLI this is band 9) 1.36 - 1.38 30 9 QA Band (available with Collection 1)* NA 30  *More about the Quality Assessment BandTIRS Bands Band Description Wavelength (µm) Spatial Resolution (m) 10 TIRS1 10.60 - 11.19 100 * (30) 11 TIRS2 11.50 - 12.51 100 * (30) *TIRS bands are acquired at 100 meter resolution, but are resampled to 30 meter in delivered data product.Additional Usage NotesImage exports are limited to 4,000 columns x 4,000 rows per request.This dynamic imagery layer can be used in Web Maps and ArcGIS Pro as well as web and mobile applications using the ArcGIS REST APIs.WCS and WMS compatibility means this imagery layer can be consumed as WCS or WMS services.The Landsat Explorer App is another way to access and explore the imagery.Data SourceLandsat imagery is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). Data is hosted in Amazon Web Services as part of their Public Data Sets program.For information, see Landsat 8  and Landsat 9.*The Global Land Survey includes images from Landsat 1 through Landsat 7. Band numbers and band combinations differ from those of Landsat 8, but have been mapped to the most appropriate band as in the above table. For more information about the Global Land Survey, visit GLS.
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    last week
  • 3D Sea Level Rise - Web Scene
    This web scene holds the layers for the 3D sea level rise building impact application. Within this scene there are separate groups for each foot of sea level rise on buildings impacts. This scene layer is the scene that connects to the web application viewer for public usage.For more information, please contact: Jose Rodriguez, Karen Grassi, or April Rosier
    1
    last week
  • OKRoads Public Webmap
    Oklahoma Road Condition Map
    2
    last week
  • Live Stream Gauges
    Information on the amount of water flowing in streams and rivers is critical to the management of water resources, emergency response to flooding, fisheries management, and many other uses. This layer provides access to real-time stream gauge readings compiled from a variety of agencies and organizations.Dataset SummaryThe Live Stream Gauges layer contains real-time measurements of water depth from multiple reporting agencies recording at sensors across the world. This layer uses GeoEvent Processor to ingest and consolidate the many live sensor feeds, and updates itself every hour. At some gauges, flow in cubic feet per second is estimated using a stage-discharge rating curve. Flow forecasts are also provided where available. These sensor feeds are owned and maintained by the GIS community. For details on the coverage in this map and the users who contributed data for this map via the Community Maps Program, view the list of Contributors for the Live Stream Gauges Service. If you want to contribute your organization's gauges, read more about the program here.
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    last week
  • NO2 - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • NO2 - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • Lead - PM10(LC) - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • Lead - PM10(LC) - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • Lead - TSP(LC) - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • Lead - TSP(LC) - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • PAMS - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • PAMS - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • Lead - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • Near Road - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • Near Road - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • DR-4871-TX
    An overview of all current federally declared disaster counties in the country.
    6
    last week
  • Hurricane Hanna - July, 2020 - Waldo Imagery
    1
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  • National Flood Hazard Layer
    The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The simplest way for you to access the flood hazard data, including the NFHL, is through FEMAs Map Service Center (MSC).If you want to explore the current digital effective flood hazard data in a map, the best tool to use is the NFHL Viewer. From the NFHL Viewer, you may view, download, and print flood maps for your location.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population.  New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA Flood Hazard Products and Services which provide coverage for those areas.A list of the types of data available in the NFHL and information about other ways to access the NFHL may be found in the NFHL GIS Services User Guide.If you need more information about individual tables in the NFHL, the FIRM Database Technical Reference, found at FEMA’s Technical References, includes those details.For step-by-step instructions on how to read a flood map, you may view the How to Read a Flood Insurance Rate Map Tutorial.For more information, please visit the FEMA Flood Map Service Center.
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    last week
  • NCORE (Multipollutant Monitoring Network) - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • NCORE (Multipollutant Monitoring Network) - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • NATTS (National Air Toxics Trends Stations) - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • NATTS (National Air Toxics Trends Stations) - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • IMPROVE (Interagency Monitoring of Protected Visual Environments) - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • IMPROVE (Interagency Monitoring of Protected Visual Environments) - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
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    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • PM2.5 Chemical Speciation Network - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • Lead - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • SO2 - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • SO2 - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • PM2.5 - Additional AQI - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • PM2.5 - Additional AQI - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • PM2.5 - NAAQS/AQI - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • PM2.5 - NAAQS/AQI - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • PM10 - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
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  • DR-4870-IA
    An overview of all current federally declared disaster counties in the country.
    6
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  • NOAA Hurricane Isaias Post-Event Imagery (NC 8/5/2020)
    {{description}}
    2
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  • PM10 - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • Ozone - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • Ozone - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • CO - Inactive
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
    last week
  • CO - Active
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    6
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  • Air Quality System (AQS) monitors
    Full Metadata This U.S. EPA Office of Air and Radiation (OAR) - Office of State Air Partnerships (OSAP) web service contains the following air quality monitoring network point location layers: CO (carbon monoxide), Lead, Lead-TSP(LC) (lead, total suspended particulates, local conditions), Lead-PM10(LC) (lead, particluate matter up to 10um in size, local conditions), NO2 (nitrogen dioxide), Ozone, PM10 (particulate matter up to 10um in size), PM2.5 (particulate matter up to 2.5um in size), SO2 (sulfur dioxide), PM2.5 Chemical Speciation Network, IMPROVE (Interagency Monitoring of Protected Visual Environments), NATTS (National Air Toxics Trends Stations), NCORE (Multipollutant Monitoring Network). Layers are drawn at all scales.For more info: https://www.epa.gov/outdoor-air-quality-data
    2
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    This map displays current incidents within our region, including active earthquakes, floods, ODOT tripcheck incidents, wildfires, volcanoes, and more. Allows the user to switch between 2D and 3D views.
    2
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    There are seven police districts in Washington, DC, and each police district is divided into three sectors, which are groups of Police Service Areas (PSAs). Each police district has between seven and nine PSAs. Every resident lives in a PSA, and every PSA has a team of assigned police officers and officials.The Metropolitan Police Department (MPD) is fully committed to ensuring the safety and well-being of every person who lives, works, and visits the District. That commitment includes those members of our community who are served by MPD's Special Liaison Branch. The Department’s Special Liaison Branch (SLB) is a model for community policing in its work with historically underserved communities.Learn more about MPD patrol services at mpdc.dc.gov/patrolservices and special liaison units at mpdc.dc.gov/slb.
    7
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    {{description}}
    2
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    Keep this item shared while people replace it. Unshare it on 6/30/2026 or after.This is the public Ready Nevada County Dashboard, developed by the County of Nevada Office of Emergency Services and GIS Department. This is a tabbed Story Map that contains multiple applications:Evacuation and Wildfire Dashboard - Genasys Protect & our Fire Statistics DashboardLive Fire Webcams Viewer - Alert CaliforniaCurrent Wind & Weather - Windy.com Additional applications and functionality will be developed on a rolling basis, as needs arise.
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    The Miami-Dade County storm surge planning zones are drawn using Sea, Lake and Overland Surge from Hurricanes (SLOSH) model grids that incorporate local physical features such as geographic coastal area, bay and river shapes, water depths, bridges, etc. Areas in Miami-Dade along canals, rivers and further inland have been identified as being at risk for storm surge based on this data. The Miami-Dade County storm surge planning zones are drawn using Sea, Lake and Overland Surge from Hurricanes (SLOSH) model grids that incorporate local physical features such as geographic coastal area, bay and river shapes, water depths, bridges, etc. Areas in Miami-Dade along canals, rivers and further inland have been identified as being at risk for storm surge based on this data. Each zone or portions will be evacuated depending on the hurricane’s track and projected storm surge, independent of the hurricane’s category. Upon identification of a threat the EOC or County Mayor will use local media to relay pertinent information, such as evacuations and shelter openings. It is important that you monitor the news for this information.  For additional information go to https://miamidade.gov/hurricane.
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    Tornadoes This feature layer, utilizing data from the National Oceanic and Atmospheric Administration (NOAA), displays tornadoes in the United States, Puerto Rico and U.S. Virgin Islands between 1950 and 2024. Per NOAA, “A tornado is a narrow, violently rotating column of air that extends from a thunderstorm to the ground. Because wind is invisible, it is hard to see a tornado unless it forms a condensation funnel made up of water droplets, dust and debris. Tornadoes can be among the most violent phenomena of all atmospheric storms we experience. The most destructive tornadoes occur from supercells, which are rotating thunderstorms with a well-defined radar circulation called a mesocyclone. (Supercells can also produce damaging hail, severe non-tornadic winds, frequent lightning, and flash floods.)” EF-5 Tornado (May 22, 2011) near Joplin, Missouri Data currency: December 30, 2024Data source: Storm Prediction CenterData modifications: Added field "Date_Calc"For more information: Severe Weather 101 - Tornadoes; NSSL Research: TornadoesSupport documentation: SPC Tornado, Hail, and Wind Database Format SpecificationFor feedback, please contact: ArcGIScomNationalMaps@esri.com National Oceanic and Atmospheric Administration Per NOAA, its mission is “To understand and predict changes in climate, weather, ocean, and coasts, to share that knowledge and information with others, and to conserve and manage coastal and marine ecosystems and resources.”
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    Convert to Experience Builder or Delete by October 2026.  
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  • Shake Intensity
    In addition to displaying earthquakes by magnitude, this service also provide earthquake impact details. Impact is measured by population as well as models for economic and fatality loss. For more details, see: PAGER Alerts.  Consumption Best Practices:As a service that is subject to very high usage, ensure peak performance and accessibility of your maps and apps by avoiding the use of non-cache-able relative Date/Time field filters. To accommodate filtering events by Date/Time, we suggest using the included "Age" fields that maintain the number of days or hours since a record was created or last modified, compared to the last service update. These queries fully support the ability to cache a response, allowing common query results to be efficiently provided to users in a high demand service environment.When ingesting this service in your applications, avoid using POST requests whenever possible. These requests can compromise performance and scalability during periods of high usage because they too are not cache-able. Update Frequency: Events are updated as frequently as every 5 minutes and are available up to 30 days with the following exceptions:Events with a Magnitude LESS than 4.5 are retained for 7 daysEvents with a Significance value, "sig" field, of 600 or higher are retained for 90 days In addition to event points, ShakeMaps are also provided. These have been dissolved by Shake Intensity to reduce the Layer Complexity.The specific layers provided in this service have been Time Enabled and include:Events by Magnitude: The event’s seismic magnitude value.Contains PAGER Alert Level: USGS PAGER (Prompt Assessment of Global Earthquakes for Response) system provides an automated impact level assignment that estimates fatality and economic loss.Contains Significance Level: An event’s significance is determined by factors like magnitude, max MMI, ‘felt’ reports, and estimated impact.Shake Intensity: The Instrumental Intensity or Modified Mercalli Intensity (MMI) for available events. For field terms and technical details, see: ComCat Documentation Alternate SymbologiesVisit the Classic USGS Feature Layer item for a Rainbow view of Shakemap features. RevisionsDec 22, 2025: Added ‘Hours Old’ field to Shake Intensity layer.Sep 16, 2025: Exposed ‘UniqueId’ field in Shake Intensity Polygon layer.Sep 14, 2025: Upgrade to Layer data update workflow, to improve reliability and scalability.Aug 14, 2024: Added a default Minimum scale suppression of 1:6,000,000 on Shake Intensity layer. Jul 11, 2024: Updated event popup, setting "Tsunami Warning" text to "Alert Possible" when flag is present. Also included hyperlink to tsunami warning center. Feb 13, 2024: Updated feed logic to remove Superseded events This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to USGS source for official guidance. If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
    11
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  • Events by Magnitude
    In addition to displaying earthquakes by magnitude, this service also provide earthquake impact details. Impact is measured by population as well as models for economic and fatality loss. For more details, see: PAGER Alerts.  Consumption Best Practices:As a service that is subject to very high usage, ensure peak performance and accessibility of your maps and apps by avoiding the use of non-cache-able relative Date/Time field filters. To accommodate filtering events by Date/Time, we suggest using the included "Age" fields that maintain the number of days or hours since a record was created or last modified, compared to the last service update. These queries fully support the ability to cache a response, allowing common query results to be efficiently provided to users in a high demand service environment.When ingesting this service in your applications, avoid using POST requests whenever possible. These requests can compromise performance and scalability during periods of high usage because they too are not cache-able. Update Frequency: Events are updated as frequently as every 5 minutes and are available up to 30 days with the following exceptions:Events with a Magnitude LESS than 4.5 are retained for 7 daysEvents with a Significance value, "sig" field, of 600 or higher are retained for 90 days In addition to event points, ShakeMaps are also provided. These have been dissolved by Shake Intensity to reduce the Layer Complexity.The specific layers provided in this service have been Time Enabled and include:Events by Magnitude: The event’s seismic magnitude value.Contains PAGER Alert Level: USGS PAGER (Prompt Assessment of Global Earthquakes for Response) system provides an automated impact level assignment that estimates fatality and economic loss.Contains Significance Level: An event’s significance is determined by factors like magnitude, max MMI, ‘felt’ reports, and estimated impact.Shake Intensity: The Instrumental Intensity or Modified Mercalli Intensity (MMI) for available events. For field terms and technical details, see: ComCat Documentation Alternate SymbologiesVisit the Classic USGS Feature Layer item for a Rainbow view of Shakemap features. RevisionsDec 22, 2025: Added ‘Hours Old’ field to Shake Intensity layer.Sep 16, 2025: Exposed ‘UniqueId’ field in Shake Intensity Polygon layer.Sep 14, 2025: Upgrade to Layer data update workflow, to improve reliability and scalability.Aug 14, 2024: Added a default Minimum scale suppression of 1:6,000,000 on Shake Intensity layer. Jul 11, 2024: Updated event popup, setting "Tsunami Warning" text to "Alert Possible" when flag is present. Also included hyperlink to tsunami warning center. Feb 13, 2024: Updated feed logic to remove Superseded events This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to USGS source for official guidance. If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
    11
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  • DR-4869-KS
    An overview of all current federally declared disaster counties in the country.
    6
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  • Earthquake Population Exposure Dashboard
    Estimated population impacts based on Census demographics within the counties that intersect with recent earthquakes.
    1
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  • Recent Earthquakes
    In addition to displaying earthquakes by magnitude, this service also provide earthquake impact details. Impact is measured by population as well as models for economic and fatality loss. For more details, see: PAGER Alerts.  Consumption Best Practices:As a service that is subject to very high usage, ensure peak performance and accessibility of your maps and apps by avoiding the use of non-cache-able relative Date/Time field filters. To accommodate filtering events by Date/Time, we suggest using the included "Age" fields that maintain the number of days or hours since a record was created or last modified, compared to the last service update. These queries fully support the ability to cache a response, allowing common query results to be efficiently provided to users in a high demand service environment.When ingesting this service in your applications, avoid using POST requests whenever possible. These requests can compromise performance and scalability during periods of high usage because they too are not cache-able. Update Frequency: Events are updated as frequently as every 5 minutes and are available up to 30 days with the following exceptions:Events with a Magnitude LESS than 4.5 are retained for 7 daysEvents with a Significance value, "sig" field, of 600 or higher are retained for 90 days In addition to event points, ShakeMaps are also provided. These have been dissolved by Shake Intensity to reduce the Layer Complexity.The specific layers provided in this service have been Time Enabled and include:Events by Magnitude: The event’s seismic magnitude value.Contains PAGER Alert Level: USGS PAGER (Prompt Assessment of Global Earthquakes for Response) system provides an automated impact level assignment that estimates fatality and economic loss.Contains Significance Level: An event’s significance is determined by factors like magnitude, max MMI, ‘felt’ reports, and estimated impact.Shake Intensity: The Instrumental Intensity or Modified Mercalli Intensity (MMI) for available events. For field terms and technical details, see: ComCat Documentation Alternate SymbologiesVisit the Classic USGS Feature Layer item for a Rainbow view of Shakemap features. RevisionsDec 22, 2025: Added ‘Hours Old’ field to Shake Intensity layer.Sep 16, 2025: Exposed ‘UniqueId’ field in Shake Intensity Polygon layer.Sep 14, 2025: Upgrade to Layer data update workflow, to improve reliability and scalability.Aug 14, 2024: Added a default Minimum scale suppression of 1:6,000,000 on Shake Intensity layer. Jul 11, 2024: Updated event popup, setting "Tsunami Warning" text to "Alert Possible" when flag is present. Also included hyperlink to tsunami warning center. Feb 13, 2024: Updated feed logic to remove Superseded events This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to USGS source for official guidance. If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
    2
    last week
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