11 datasets found
  1. USA Flood Hazard Areas

    • center-for-community-investment-lincolninstitute.hub.arcgis.com
    • community-climatesolutions.hub.arcgis.com
    • +8more
    Updated Oct 3, 2018
    + more versions
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    Esri (2018). USA Flood Hazard Areas [Dataset]. https://center-for-community-investment-lincolninstitute.hub.arcgis.com/datasets/11955f1b47ec41a3af86650824e0c634
    Explore at:
    Dataset updated
    Oct 3, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    United States,
    Description

    The Federal Emergency Management Agency (FEMA) produces Flood Insurance Rate maps and identifies Special Flood Hazard Areas as part of the National Flood Insurance Program's floodplain management. Special Flood Hazard Areas have regulations that include the mandatory purchase of flood insurance for holders of federally regulated mortgages. In addition, this layer can help planners and firms avoid areas of flood risk and also avoid additional cost to carry insurance for certain planned activities.Dataset SummaryPhenomenon Mapped: Flood Hazard AreasGeographic Extent: Contiguous United States, Alaska, Hawaii, Puerto Rico, Guam, US Virgin Islands, Northern Mariana Islands and American Samoa.Projection: Web Mercator Auxiliary SphereData Coordinate System: USA Contiguous Albers Equal Area Conic USGS version (contiguous US, Puerto Rico, US Virgin Islands), WGS 1984 Albers (Alaska), Hawaii Albers Equal Area Conic (Hawaii), Western Pacific Albers Equal Area Conic (Guam, Northern Mariana Islands, and American Samoa)Cell Sizes: 10 meters (default), 30 meters, and 90 metersUnits: NoneSource Type: ThematicPixel Type: Unsigned integerSource: Federal Emergency Management Agency (FEMA)Update Frequency: AnnualPublication Date: December 18, 2024This layer is derived from the December 18, 2024 version Flood Insurance Rate Map feature class S_FLD_HAZ_AR. The vector data were then flagged with an index of 88 classes, representing a unique combination of values displayed by three renderers. (In three resolutions the three renderers make nine processing templates.) Repair Geometry was run on the set of features, then the features were rasterized using the 88 class index at a resolutions of 10, 30, and 90 meters, using the Polygon to Raster tool and the "MAXIMUM_COMBINED_AREA" option. Not every part of the United States is covered by flood rate maps. This layer compiles all the flood insurance maps available at the time of publication. To make analysis easier, areas that were NOT mapped by FEMA for flood insurance rates no longer are served as NODATA but are filled in with a value of 250, representing any unmapped areas which appear in the US Census' boundary of the USA states and territories. The attribute table corresponding to value 250 will indicate that the area was not mapped.What can you do with this layer?This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "flood hazard areas" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "flood hazard areas" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.Processing TemplatesCartographic Renderer - The default. These are meaningful classes grouped by FEMA which group its own Flood Zone Type and Subtype fields. This renderer uses FEMA's own cartographic interpretations of its flood zone and zone subtype fields to help you identify and assess risk. Flood Zone Type Renderer - Specifically renders FEMA FLD_ZONE (flood zone) attribute, which distinguishes the original, broadest categories of flood zones. This renderer displays high level categories of flood zones, and is less nuanced than the Cartographic Renderer. For example, a fld_zone value of X can either have moderate or low risk depending on location. This renderer will simply render fld_zone X as its own color without identifying "500 year" flood zones within that category.Flood Insurance Requirement Renderer - Shows Special Flood Hazard Area (SFHA) true-false status. This may be helpful if you want to show just the places where flood insurance is required. A value of True means flood insurance is mandatory in a majority of the area covered by each 10m pixel.Each of these three renderers have templates at three different raster resolutions depending on your analysis needs. To include the layer in web maps to serve maps and queries, the 10 meter renderers are the preferred option. These are served with overviews and render at all resolutions. However, when doing analysis of larger areas, we now offer two coarser resolutions of 30 and 90 meters in processing templates for added convenience and time savings.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

  2. e

    ZI 125 0005 t500

    • data.europa.eu
    • opendata.esri.es
    unknown
    Updated Feb 1, 2023
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    Cabildo Insular de La Palma (2023). ZI 125 0005 t500 [Dataset]. https://data.europa.eu/data/datasets/https-www-opendatalapalma-es-datasets-e47aa4a679ba441ebdc0ee5a5cc5f97f_9
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Feb 1, 2023
    Dataset authored and provided by
    Cabildo Insular de La Palma
    License

    https://www.opendatalapalma.es/pages/avisolegalhttps://www.opendatalapalma.es/pages/avisolegal

    Description

    Entity layer: Viewer_risk_flood

    This layer of entities contains different layers of information to reflect the dangers and risks that a flood regime entails in the 3 zones that according to the member states have a Significant Potential Flood Risk.

    For each of the 3 zones there are the following layers of information:

    · Ptos EImp: Points of particular importance

    · Pobl Afect: Affected population

    · ZI: Flood Zone

    · Preferred Flow Zone

    · Hydraulic Public Domain

    · IAmb area: Area of environmental interest

    · AEco Afect: Economic Activity Affected

    All the previous layers, except the Preferred Flow Zone and the Hydraulic Public Domain, are drawn for a return period of 100 and 500 years.

    In the Points of special importance, specific conditions are described to car parks, hotels, health center, archaeological, trails, historical complex, etc. Each of the affected points is given a qualifier of: Mild, Grave, Very Grave.

    The affected population layer gives us information on the number of inhabitants affected by the flood, and the total population of the municipality, to know the percentage of affection of the municipal population.

    The Flood Zone gives us the surface that is occupied by water in a regime of one flood for the two periods of return. This layer specifies that, this layer was calculated with the IBER and that the source of the calculations was made on an MDT with an accuracy of 1 meter by 1 meter of LIDAR (GRAFCAN).

    The preferred Flow Zone is a layer that draws the polygon that is most often occupied by water when the ravine runs within its channel.

    The Public Hydraulic Domain is established with a return period of 100 years and with the infrastructure available to stop or reduce the effect of water. Two distinct zones are established that are the Public Hydraulic Domain (DPH) and the bonded zone, which are 5 meters from the DPH to each of the two margins of the channel.

    The Area of Environmental Interest is a layer that indicates the protected areas that will be affected by a flood of the riverbed, and indicates what type of condition has the possibility of occurring.

    The Affected Economic Activity divides the affected area into different areas according to the type of activity, such as agícola-regadío, urban, forest, bodies of water, etc. establishing an estimated economic damage in euros for each of them and an area of affection for each of them.

    All these layers described above are repeated for each of the fluvial arpsis, which in the case of La Palma are: the ravine of Las Nieves, the ravine of Las Angustias and the ravine of La Paloma.

    If you need more information about building each of the layers of information that appear in this layer set, see the Hazard and Flood Hazard Maps memory in the following link: http://bit.ly/2mx95QZ

  3. e

    HYDRAULIC PUBLIC DOMAIN 0005

    • data.europa.eu
    unknown
    Updated Feb 1, 2023
    + more versions
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    Cabildo Insular de La Palma (2023). HYDRAULIC PUBLIC DOMAIN 0005 [Dataset]. https://data.europa.eu/data/datasets/https-www-opendatalapalma-es-datasets-e47aa4a679ba441ebdc0ee5a5cc5f97f_11?locale=en
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Feb 1, 2023
    Dataset authored and provided by
    Cabildo Insular de La Palma
    License

    https://www.opendatalapalma.es/pages/avisolegalhttps://www.opendatalapalma.es/pages/avisolegal

    Description

    Entity layer: Viewer_risk_flood

    This layer of entities contains different layers of information to reflect the dangers and risks that a flood regime entails in the 3 zones that according to the member states have a Significant Potential Flood Risk.

    For each of the 3 zones there are the following layers of information:

    · Ptos EImp: Points of particular importance

    · Pobl Afect: Affected population

    · ZI: Flood Zone

    · Preferred Flow Zone

    · Hydraulic Public Domain

    · IAmb area: Area of environmental interest

    · AEco Afect: Economic Activity Affected

    All the previous layers, except the Preferred Flow Zone and the Hydraulic Public Domain, are drawn for a return period of 100 and 500 years.

    In the Points of special importance, specific conditions are described to car parks, hotels, health center, archaeological, trails, historical complex, etc. Each of the affected points is given a qualifier of: Mild, Grave, Very Grave.

    The affected population layer gives us information on the number of inhabitants affected by the flood, and the total population of the municipality, to know the percentage of affection of the municipal population.

    The Flood Zone gives us the surface that is occupied by water in a regime of one flood for the two periods of return. This layer specifies that, this layer was calculated with the IBER and that the source of the calculations was made on an MDT with an accuracy of 1 meter by 1 meter of LIDAR (GRAFCAN).

    The preferred Flow Zone is a layer that draws the polygon that is most often occupied by water when the ravine runs within its channel.

    The Public Hydraulic Domain is established with a return period of 100 years and with the infrastructure available to stop or reduce the effect of water. Two distinct zones are established that are the Public Hydraulic Domain (DPH) and the bonded zone, which are 5 meters from the DPH to each of the two margins of the channel.

    The Area of Environmental Interest is a layer that indicates the protected areas that will be affected by a flood of the riverbed, and indicates what type of condition has the possibility of occurring.

    The Affected Economic Activity divides the affected area into different areas according to the type of activity, such as agícola-regadío, urban, forest, bodies of water, etc. establishing an estimated economic damage in euros for each of them and an area of affection for each of them.

    All these layers described above are repeated for each of the fluvial arpsis, which in the case of La Palma are: the ravine of Las Nieves, the ravine of Las Angustias and the ravine of La Paloma.

    If you need more information about building each of the layers of information that appear in this layer set, see the Hazard and Flood Hazard Maps memory in the following link: http://bit.ly/2mx95QZ

  4. National Risk Index Counties

    • resilience.climate.gov
    • heat.gov
    • +7more
    Updated Oct 26, 2021
    + more versions
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    FEMA AGOL (2021). National Risk Index Counties [Dataset]. https://resilience.climate.gov/datasets/FEMA::national-risk-index-counties/about
    Explore at:
    Dataset updated
    Oct 26, 2021
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    Authors
    FEMA AGOL
    Area covered
    Description

    National Risk Index Version: March 2023 (1.19.0)The National Risk Index Counties feature layer contains county-level data for the Risk Index, Expected Annual Loss, Social Vulnerability, and Community Resilience.The National Risk Index is a dataset and online tool that helps to illustrate the communities most at risk for 18 natural hazards across the United States and territories: Avalanche, Coastal Flooding, Cold Wave, Drought, Earthquake, Hail, Heat Wave, Hurricane, Ice Storm, Landslide, Lightning, Riverine Flooding, Strong Wind, Tornado, Tsunami, Volcanic Activity, Wildfire, and Winter Weather. The National Risk Index provides Risk Index values, scores and ratings based on data for Expected Annual Loss due to natural hazards, Social Vulnerability, and Community Resilience. Separate values, scores and ratings are also provided for Expected Annual Loss, Social Vulnerability, and Community Resilience. For the Risk Index and Expected Annual Loss, values, scores and ratings can be viewed as a composite score for all hazards or individually for each of the 18 hazard types.Sources for Expected Annual Loss data include: Alaska Department of Natural Resources, Arizona State University’s (ASU) Center for Emergency Management and Homeland Security (CEMHS), California Department of Conservation, California Office of Emergency Services California Geological Survey, Colorado Avalanche Information Center, CoreLogic’s Flood Services, Federal Emergency Management Agency (FEMA) National Flood Insurance Program, Humanitarian Data Exchange (HDX), Iowa State University's Iowa Environmental Mesonet, Multi-Resolution Land Characteristics (MLRC) Consortium, National Aeronautics and Space Administration’s (NASA) Cooperative Open Online Landslide Repository (COOLR), National Earthquake Hazards Reduction Program (NEHRP), National Oceanic and Atmospheric Administration’s National Centers for Environmental Information (NCEI), National Oceanic and Atmospheric Administration's National Hurricane Center, National Oceanic and Atmospheric Administration's National Weather Service (NWS), National Oceanic and Atmospheric Administration's Office for Coastal Management, National Oceanic and Atmospheric Administration's National Geophysical Data Center, National Oceanic and Atmospheric Administration's Storm Prediction Center, Oregon Department of Geology and Mineral Industries, Pacific Islands Ocean Observing System, Puerto Rico Seismic Network, Smithsonian Institution's Global Volcanism Program, State of Hawaii’s Office of Planning’s Statewide GIS Program, U.S. Army Corps of Engineers’ Cold Regions Research and Engineering Laboratory (CRREL), U.S. Census Bureau, U.S. Department of Agriculture's (USDA) National Agricultural Statistics Service (NASS), U.S. Forest Service's Fire Modeling Institute's Missoula Fire Sciences Lab, U.S. Forest Service's National Avalanche Center (NAC), U.S. Geological Survey (USGS), U.S. Geological Survey's Landslide Hazards Program, United Nations Office for Disaster Risk Reduction (UNDRR), University of Alaska – Fairbanks' Alaska Earthquake Center, University of Nebraska-Lincoln's National Drought Mitigation Center (NDMC), University of Southern California's Tsunami Research Center, and Washington State Department of Natural Resources.Data for Social Vulnerability are provided by the Centers for Disease Control (CDC) Agency for Toxic Substances and Disease Registry (ATSDR) Social Vulnerability Index, and data for Community Resilience are provided by University of South Carolina's Hazards and Vulnerability Research Institute’s (HVRI) 2020 Baseline Resilience Indicators for Communities.The source of the boundaries for counties and Census tracts are based on the U.S. Census Bureau’s 2021 TIGER/Line shapefiles. Building value and population exposures for communities are based on FEMA’s Hazus 6.0. Agriculture values are based on the USDA 2017 Census of Agriculture.

  5. e

    PREFERENTIAL FLOW AREA 0006

    • data.europa.eu
    unknown
    Updated Feb 1, 2023
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    Cabildo Insular de La Palma (2023). PREFERENTIAL FLOW AREA 0006 [Dataset]. https://data.europa.eu/data/datasets/https-www-opendatalapalma-es-datasets-e47aa4a679ba441ebdc0ee5a5cc5f97f_28?locale=en
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Feb 1, 2023
    Dataset authored and provided by
    Cabildo Insular de La Palma
    License

    https://www.opendatalapalma.es/pages/avisolegalhttps://www.opendatalapalma.es/pages/avisolegal

    Description

    Entity layer: Viewer_risk_flood

    This layer of entities contains different layers of information to reflect the dangers and risks that a flood regime entails in the 3 zones that according to the member states have a Significant Potential Flood Risk.

    For each of the 3 zones there are the following layers of information:

    · Ptos EImp: Points of particular importance

    · Pobl Afect: Affected population

    · ZI: Flood Zone

    · Preferred Flow Zone

    · Hydraulic Public Domain

    · IAmb area: Area of environmental interest

    · AEco Afect: Economic Activity Affected

    All the previous layers, except the Preferred Flow Zone and the Hydraulic Public Domain, are drawn for a return period of 100 and 500 years.

    In the Points of special importance, specific conditions are described to car parks, hotels, health center, archaeological, trails, historical complex, etc. Each of the affected points is given a qualifier of: Mild, Grave, Very Grave.

    The affected population layer gives us information on the number of inhabitants affected by the flood, and the total population of the municipality, to know the percentage of affection of the municipal population.

    The Flood Zone gives us the surface that is occupied by water in a regime of one flood for the two periods of return. This layer specifies that, this layer was calculated with the IBER and that the source of the calculations was made on an MDT with an accuracy of 1 meter by 1 meter of LIDAR (GRAFCAN).

    The preferred Flow Zone is a layer that draws the polygon that is most often occupied by water when the ravine runs within its channel.

    The Public Hydraulic Domain is established with a return period of 100 years and with the infrastructure available to stop or reduce the effect of water. Two distinct zones are established that are the Public Hydraulic Domain (DPH) and the bonded zone, which are 5 meters from the DPH to each of the two margins of the channel.

    The Area of Environmental Interest is a layer that indicates the protected areas that will be affected by a flood of the riverbed, and indicates what type of condition has the possibility of occurring.

    The Affected Economic Activity divides the affected area into different areas according to the type of activity, such as agícola-regadío, urban, forest, bodies of water, etc. establishing an estimated economic damage in euros for each of them and an area of affection for each of them.

    All these layers described above are repeated for each of the fluvial arpsis, which in the case of La Palma are: the ravine of Las Nieves, the ravine of Las Angustias and the ravine of La Paloma.

    If you need more information about building each of the layers of information that appear in this layer set, see the Hazard and Flood Hazard Maps memory in the following link: http://bit.ly/2mx95QZ

  6. e

    Area IAmb 125 0006 T100

    • data.europa.eu
    unknown
    Updated Feb 1, 2023
    + more versions
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    Cabildo Insular de La Palma (2023). Area IAmb 125 0006 T100 [Dataset]. https://data.europa.eu/data/datasets/https-www-opendatalapalma-es-datasets-e47aa4a679ba441ebdc0ee5a5cc5f97f_32?locale=en
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Feb 1, 2023
    Dataset authored and provided by
    Cabildo Insular de La Palma
    License

    https://www.opendatalapalma.es/pages/avisolegalhttps://www.opendatalapalma.es/pages/avisolegal

    Description

    Entity layer: Viewer_risk_flood

    This layer of entities contains different layers of information to reflect the dangers and risks that a flood regime entails in the 3 zones that according to the member states have a Significant Potential Flood Risk.

    For each of the 3 zones there are the following layers of information:

    · Ptos EImp: Points of particular importance

    · Pobl Afect: Affected population

    · ZI: Flood Zone

    · Preferred Flow Zone

    · Hydraulic Public Domain

    · IAmb area: Area of environmental interest

    · AEco Afect: Economic Activity Affected

    All the previous layers, except the Preferred Flow Zone and the Hydraulic Public Domain, are drawn for a return period of 100 and 500 years.

    In the Points of special importance, specific conditions are described to car parks, hotels, health center, archaeological, trails, historical complex, etc. Each of the affected points is given a qualifier of: Mild, Grave, Very Grave.

    The affected population layer gives us information on the number of inhabitants affected by the flood, and the total population of the municipality, to know the percentage of affection of the municipal population.

    The Flood Zone gives us the surface that is occupied by water in a regime of one flood for the two periods of return. This layer specifies that, this layer was calculated with the IBER and that the source of the calculations was made on an MDT with an accuracy of 1 meter by 1 meter of LIDAR (GRAFCAN).

    The preferred Flow Zone is a layer that draws the polygon that is most often occupied by water when the ravine runs within its channel.

    The Public Hydraulic Domain is established with a return period of 100 years and with the infrastructure available to stop or reduce the effect of water. Two distinct zones are established that are the Public Hydraulic Domain (DPH) and the bonded zone, which are 5 meters from the DPH to each of the two margins of the channel.

    The Area of Environmental Interest is a layer that indicates the protected areas that will be affected by a flood of the riverbed, and indicates what type of condition has the possibility of occurring.

    The Affected Economic Activity divides the affected area into different areas according to the type of activity, such as agícola-regadío, urban, forest, bodies of water, etc. establishing an estimated economic damage in euros for each of them and an area of affection for each of them.

    All these layers described above are repeated for each of the fluvial arpsis, which in the case of La Palma are: the ravine of Las Nieves, the ravine of Las Angustias and the ravine of La Paloma.

    If you need more information about building each of the layers of information that appear in this layer set, see the Hazard and Flood Hazard Maps memory in the following link: http://bit.ly/2mx95QZ

  7. a

    Surging Seas: Risk Zone Map

    • disaster-amerigeoss.opendata.arcgis.com
    • amerigeo.org
    • +1more
    Updated Feb 18, 2019
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    AmeriGEOSS (2019). Surging Seas: Risk Zone Map [Dataset]. https://disaster-amerigeoss.opendata.arcgis.com/datasets/surging-seas-risk-zone-map
    Explore at:
    Dataset updated
    Feb 18, 2019
    Dataset authored and provided by
    AmeriGEOSS
    Description

    IntroductionClimate Central’s Surging Seas: Risk Zone map shows areas vulnerable to near-term flooding from different combinations of sea level rise, storm surge, tides, and tsunamis, or to permanent submersion by long-term sea level rise. Within the U.S., it incorporates the latest, high-resolution, high-accuracy lidar elevation data supplied by NOAA (exceptions: see Sources), displays points of interest, and contains layers displaying social vulnerability, population density, and property value. Outside the U.S., it utilizes satellite-based elevation data from NASA in some locations, and Climate Central’s more accurate CoastalDEM in others (see Methods and Qualifiers). It provides the ability to search by location name or postal code.The accompanying Risk Finder is an interactive data toolkit available for some countries that provides local projections and assessments of exposure to sea level rise and coastal flooding tabulated for many sub-national districts, down to cities and postal codes in the U.S. Exposure assessments always include land and population, and in the U.S. extend to over 100 demographic, economic, infrastructure and environmental variables using data drawn mainly from federal sources, including NOAA, USGS, FEMA, DOT, DOE, DOI, EPA, FCC and the Census.This web tool was highlighted at the launch of The White House's Climate Data Initiative in March 2014. Climate Central's original Surging Seas was featured on NBC, CBS, and PBS U.S. national news, the cover of The New York Times, in hundreds of other stories, and in testimony for the U.S. Senate. The Atlantic Cities named it the most important map of 2012. Both the Risk Zone map and the Risk Finder are grounded in peer-reviewed science.Back to topMethods and QualifiersThis map is based on analysis of digital elevation models mosaicked together for near-total coverage of the global coast. Details and sources for U.S. and international data are below. Elevations are transformed so they are expressed relative to local high tide lines (Mean Higher High Water, or MHHW). A simple elevation threshold-based “bathtub method” is then applied to determine areas below different water levels, relative to MHHW. Within the U.S., areas below the selected water level but apparently not connected to the ocean at that level are shown in a stippled green (as opposed to solid blue) on the map. Outside the U.S., due to data quality issues and data limitations, all areas below the selected level are shown as solid blue, unless separated from the ocean by a ridge at least 20 meters (66 feet) above MHHW, in which case they are shown as not affected (no blue).Areas using lidar-based elevation data: U.S. coastal states except AlaskaElevation data used for parts of this map within the U.S. come almost entirely from ~5-meter horizontal resolution digital elevation models curated and distributed by NOAA in its Coastal Lidar collection, derived from high-accuracy laser-rangefinding measurements. The same data are used in NOAA’s Sea Level Rise Viewer. (High-resolution elevation data for Louisiana, southeast Virginia, and limited other areas comes from the U.S. Geological Survey (USGS)). Areas using CoastalDEM™ elevation data: Antigua and Barbuda, Barbados, Corn Island (Nicaragua), Dominica, Dominican Republic, Grenada, Guyana, Haiti, Jamaica, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, San Blas (Panama), Suriname, The Bahamas, Trinidad and Tobago. CoastalDEM™ is a proprietary high-accuracy bare earth elevation dataset developed especially for low-lying coastal areas by Climate Central. Use our contact form to request more information.Warning for areas using other elevation data (all other areas)Areas of this map not listed above use elevation data on a roughly 90-meter horizontal resolution grid derived from NASA’s Shuttle Radar Topography Mission (SRTM). SRTM provides surface elevations, not bare earth elevations, causing it to commonly overestimate elevations, especially in areas with dense and tall buildings or vegetation. Therefore, the map under-portrays areas that could be submerged at each water level, and exposure is greater than shown (Kulp and Strauss, 2016). However, SRTM includes error in both directions, so some areas showing exposure may not be at risk.SRTM data do not cover latitudes farther north than 60 degrees or farther south than 56 degrees, meaning that sparsely populated parts of Arctic Circle nations are not mapped here, and may show visual artifacts.Areas of this map in Alaska use elevation data on a roughly 60-meter horizontal resolution grid supplied by the U.S. Geological Survey (USGS). This data is referenced to a vertical reference frame from 1929, based on historic sea levels, and with no established conversion to modern reference frames. The data also do not take into account subsequent land uplift and subsidence, widespread in the state. As a consequence, low confidence should be placed in Alaska map portions.Flood control structures (U.S.)Levees, walls, dams or other features may protect some areas, especially at lower elevations. Levees and other flood control structures are included in this map within but not outside of the U.S., due to poor and missing data. Within the U.S., data limitations, such as an incomplete inventory of levees, and a lack of levee height data, still make assessing protection difficult. For this map, levees are assumed high and strong enough for flood protection. However, it is important to note that only 8% of monitored levees in the U.S. are rated in “Acceptable” condition (ASCE). Also note that the map implicitly includes unmapped levees and their heights, if broad enough to be effectively captured directly by the elevation data.For more information on how Surging Seas incorporates levees and elevation data in Louisiana, view our Louisiana levees and DEMs methods PDF. For more information on how Surging Seas incorporates dams in Massachusetts, view the Surging Seas column of the web tools comparison matrix for Massachusetts.ErrorErrors or omissions in elevation or levee data may lead to areas being misclassified. Furthermore, this analysis does not account for future erosion, marsh migration, or construction. As is general best practice, local detail should be verified with a site visit. Sites located in zones below a given water level may or may not be subject to flooding at that level, and sites shown as isolated may or may not be be so. Areas may be connected to water via porous bedrock geology, and also may also be connected via channels, holes, or passages for drainage that the elevation data fails to or cannot pick up. In addition, sea level rise may cause problems even in isolated low zones during rainstorms by inhibiting drainage.ConnectivityAt any water height, there will be isolated, low-lying areas whose elevation falls below the water level, but are protected from coastal flooding by either man-made flood control structures (such as levees), or the natural topography of the surrounding land. In areas using lidar-based elevation data or CoastalDEM (see above), elevation data is accurate enough that non-connected areas can be clearly identified and treated separately in analysis (these areas are colored green on the map). In the U.S., levee data are complete enough to factor levees into determining connectivity as well.However, in other areas, elevation data is much less accurate, and noisy error often produces “speckled” artifacts in the flood maps, commonly in areas that should show complete inundation. Removing non-connected areas in these places could greatly underestimate the potential for flood exposure. For this reason, in these regions, the only areas removed from the map and excluded from analysis are separated from the ocean by a ridge of at least 20 meters (66 feet) above the local high tide line, according to the data, so coastal flooding would almost certainly be impossible (e.g., the Caspian Sea region).Back to topData LayersWater Level | Projections | Legend | Social Vulnerability | Population | Ethnicity | Income | Property | LandmarksWater LevelWater level means feet or meters above the local high tide line (“Mean Higher High Water”) instead of standard elevation. Methods described above explain how each map is generated based on a selected water level. Water can reach different levels in different time frames through combinations of sea level rise, tide and storm surge. Tide gauges shown on the map show related projections (see just below).The highest water levels on this map (10, 20 and 30 meters) provide reference points for possible flood risk from tsunamis, in regions prone to them.

  8. e

    AEco Afect 125 0007 T100

    • data.europa.eu
    unknown
    Updated Feb 1, 2023
    + more versions
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    Cabildo Insular de La Palma (2023). AEco Afect 125 0007 T100 [Dataset]. https://data.europa.eu/data/datasets/https-www-opendatalapalma-es-datasets-e47aa4a679ba441ebdc0ee5a5cc5f97f_52?locale=en
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    unknownAvailable download formats
    Dataset updated
    Feb 1, 2023
    Dataset authored and provided by
    Cabildo Insular de La Palma
    License

    https://www.opendatalapalma.es/pages/avisolegalhttps://www.opendatalapalma.es/pages/avisolegal

    Description

    Entity layer: Viewer_risk_flood

    This layer of entities contains different layers of information to reflect the dangers and risks that a flood regime entails in the 3 zones that according to the member states have a Significant Potential Flood Risk.

    For each of the 3 zones there are the following layers of information:

    · Ptos EImp: Points of particular importance

    · Pobl Afect: Affected population

    · ZI: Flood Zone

    · Preferred Flow Zone

    · Hydraulic Public Domain

    · IAmb area: Area of environmental interest

    · AEco Afect: Economic Activity Affected

    All the previous layers, except the Preferred Flow Zone and the Hydraulic Public Domain, are drawn for a return period of 100 and 500 years.

    In the Points of special importance, specific conditions are described to car parks, hotels, health center, archaeological, trails, historical complex, etc. Each of the affected points is given a qualifier of: Mild, Grave, Very Grave.

    The affected population layer gives us information on the number of inhabitants affected by the flood, and the total population of the municipality, to know the percentage of affection of the municipal population.

    The Flood Zone gives us the surface that is occupied by water in a regime of one flood for the two periods of return. This layer specifies that, this layer was calculated with the IBER and that the source of the calculations was made on an MDT with an accuracy of 1 meter by 1 meter of LIDAR (GRAFCAN).

    The preferred Flow Zone is a layer that draws the polygon that is most often occupied by water when the ravine runs within its channel.

    The Public Hydraulic Domain is established with a return period of 100 years and with the infrastructure available to stop or reduce the effect of water. Two distinct zones are established that are the Public Hydraulic Domain (DPH) and the bonded zone, which are 5 meters from the DPH to each of the two margins of the channel.

    The Area of Environmental Interest is a layer that indicates the protected areas that will be affected by a flood of the riverbed, and indicates what type of condition has the possibility of occurring.

    The Affected Economic Activity divides the affected area into different areas according to the type of activity, such as agícola-regadío, urban, forest, bodies of water, etc. establishing an estimated economic damage in euros for each of them and an area of affection for each of them.

    All these layers described above are repeated for each of the fluvial arpsis, which in the case of La Palma are: the ravine of Las Nieves, the ravine of Las Angustias and the ravine of La Paloma.

    If you need more information about building each of the layers of information that appear in this layer set, see the Hazard and Flood Hazard Maps memory in the following link: http://bit.ly/2mx95QZ

  9. u

    500-year base scenario

    • marine.usgs.gov
    Updated Jun 4, 2025
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    (2025). 500-year base scenario [Dataset]. https://marine.usgs.gov/coastalchangehazardsportal/ui/info/item/K5dDBTwn
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    Dataset updated
    Jun 4, 2025
    Area covered
    Description

    Flooding extent polygons based on wave-driven total water levels for the coral reef-lined coasts of Florida and Puerto Rico. The wave and sea level conditions were propagated using XBeach open-source model (available at https://oss.deltares.nl/web/xbeach) over 100-m spaced shore-normal transects modified to account for three coral reef restoration scenarios. The locations of the restoration lines along and across shore were defined by the presence of continuous coral/hardbottom habitat of greater than 100 m alongshore length and proximity to the 3-m depth contour. The vertical height of the coral or emplacement of new structure was parameterized by increasing the elevation (decreasing the depth) of the shore-normal profile over the spatial extent of the restoration along the profile. Profiles of total water levels (set-up plus run-up) at each grid cell over the profiles were then extracted to define the wave-driven flooding along these cross-shore profiles with the influence of the different coral reef restoration scenarios. Structural plus ecological (structural_25) represents the emplacement of a 1 m-high solid structure over a distance of 25 m in the cross-shore direction and corals on top of the structure represented by +1.25 m increase in height and increases in hydrodynamic roughness over the 25 m-wide extent. Structural plus ecological (structural_05) represents the emplacement of a 1 m-high solid structure over a distance of 5 m in the cross-shore direction and corals on top of the structure represented by +1.25 m increase in height and increases in hydrodynamic roughness over the 5 m-wide extent. Ecological (ecological_25) represents solely planting new corals over a distance of 25 m in the cross-shore direction represented by +0.25 m increase in height and increases in hydrodynamic roughness over the 25 m-wide extent. The changes to bathymetry and roughness were then carried on to each XBeach model run to ascertain the change in flooding during large storm events due to the theoretical reef restoration. These flood extents can be combined with economic, ecological, and engineering tools to provide a rigorous financial valuation of the coastal protection benefits of potential coral reef restoration in Florida and Puerto Rico.

  10. A

    Climate Ready Boston Social Vulnerability

    • data.boston.gov
    • gis.data.mass.gov
    • +1more
    Updated Sep 21, 2017
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    Boston Maps (2017). Climate Ready Boston Social Vulnerability [Dataset]. https://data.boston.gov/dataset/climate-ready-boston-social-vulnerability
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    arcgis geoservices rest api, html, csv, zip, geojson, kmlAvailable download formats
    Dataset updated
    Sep 21, 2017
    Dataset provided by
    BostonMaps
    Authors
    Boston Maps
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Boston
    Description
    Social vulnerability is defined as the disproportionate susceptibility of some social groups to the impacts of hazards, including death, injury, loss, or disruption of livelihood. In this dataset from Climate Ready Boston, groups identified as being more vulnerable are older adults, children, people of color, people with limited English proficiency, people with low or no incomes, people with disabilities, and people with medical illnesses.

    Source:

    The analysis and definitions used in Climate Ready Boston (2016) are based on "A framework to understand the relationship between social factors that reduce resilience in cities: Application to the City of Boston." Published 2015 in the International Journal of Disaster Risk Reduction by Atyia Martin, Northeastern University.

    Population Definitions:

    Older Adults:
    Older adults (those over age 65) have physical vulnerabilities in a climate event; they suffer from higher rates of medical illness than the rest of the population and can have some functional limitations in an evacuation scenario, as well as when preparing for and recovering from a disaster. Furthermore, older adults are physically more vulnerable to the impacts of extreme heat. Beyond the physical risk, older adults are more likely to be socially isolated. Without an appropriate support network, an initially small risk could be exacerbated if an older adult is not able to get help.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for population over 65 years of age.
    Attribute label: OlderAdult

    Children:
    Families with children require additional resources in a climate event. When school is cancelled, parents need alternative childcare options, which can mean missing work. Children are especially vulnerable to extreme heat and stress following a natural disaster.
    Data source: 2010 American Community Survey 5-year Estimates (ACS) data by census tract for population under 5 years of age.
    Attribute label: TotChild

    People of Color:
    People of color make up a majority (53 percent) of Boston’s population. People of color are more likely to fall into multiple vulnerable groups as
    well. People of color statistically have lower levels of income and higher levels of poverty than the population at large. People of color, many of whom also have limited English proficiency, may not have ready access in their primary language to information about the dangers of extreme heat or about cooling center resources. This risk to extreme heat can be compounded by the fact that people of color often live in more densely populated urban areas that are at higher risk for heat exposure due to the urban heat island effect.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract: Black, Native American, Asian, Island, Other, Multi, Non-white Hispanics.
    Attribute label: POC2

    Limited English Proficiency:
    Without adequate English skills, residents can miss crucial information on how to prepare
    for hazards. Cultural practices for information sharing, for example, may focus on word-of-mouth communication. In a flood event, residents can also face challenges communicating with emergency response personnel. If residents are more socially
    isolated, they may be less likely to hear about upcoming events. Finally, immigrants, especially ones who are undocumented, may be reluctant to use government services out of fear of deportation or general distrust of the government or emergency personnel.
    Data Source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract, defined as speaks English only or speaks English “very well”.
    Attribute label: LEP

    Low to no Income:
    A lack of financial resources impacts a household’s ability to prepare for a disaster event and to support friends and neighborhoods. For example, residents without televisions, computers, or data-driven mobile phones may face challenges getting news about hazards or recovery resources. Renters may have trouble finding and paying deposits for replacement housing if their residence is impacted by flooding. Homeowners may be less able to afford insurance that will cover flood damage. Having low or no income can create difficulty evacuating in a disaster event because of a higher reliance on public transportation. If unable to evacuate, residents may be more at risk without supplies to stay in their homes for an extended period of time. Low- and no-income residents can also be more vulnerable to hot weather if running air conditioning or fans puts utility costs out of reach.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for low-to- no income populations. The data represents a calculated field that combines people who were 100% below the poverty level and those who were 100–149% of the poverty level.
    Attribute label: Low_to_No

    People with Disabilities:
    People with disabilities are among the most vulnerable in an emergency; they sustain disproportionate rates of illness, injury, and death in disaster events.46 People with disabilities can find it difficult to adequately prepare for a disaster event, including moving to a safer place. They are more likely to be left behind or abandoned during evacuations. Rescue and relief resources—like emergency transportation or shelters, for example— may not be universally accessible. Research has revealed a historic pattern of discrimination against people with disabilities in times of resource scarcity, like after a major storm and flood.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for total civilian non-institutionalized population, including: hearing difficulty, vision difficulty, cognitive difficulty, ambulatory difficulty, self-care difficulty, and independent living difficulty.
    Attribute label: TotDis

    Medical Illness:
    Symptoms of existing medical illnesses are often exacerbated by hot temperatures. For example, heat can trigger asthma attacks or increase already high blood pressure due to the stress of high temperatures put on the body. Climate events can interrupt access to normal sources of healthcare and even life-sustaining medication. Special planning is required for people experiencing medical illness. For example, people dependent on dialysis will have different evacuation and care needs than other Boston residents in a climate event.
    Data source: Medical illness is a proxy measure which is based on EASI data accessed through Simply Map. Health data at the local level in Massachusetts is not available beyond zip codes. EASI modeled the health statistics for the U.S. population based upon age, sex, and race probabilities using U.S. Census Bureau data. The probabilities are modeled against the census and current year and five year forecasts. Medical illness is the sum of asthma in children, asthma in adults, heart disease, emphysema, bronchitis, cancer, diabetes, kidney disease, and liver disease. A limitation is that these numbers may be over-counted as the result of people potentially having more than one medical illness. Therefore, the analysis may have greater numbers of people with medical illness within census tracts than actually present. Overall, the analysis was based on the relationship between social factors.
    Attribute label: MedIllnes

    Other attribute definitions:
    GEOID10: Geographic identifier: State Code (25), Country Code (025), 2010 Census Tract
    AREA_SQFT: Tract area (in square feet)
    AREA_ACRES: Tract area (in acres)
    POP100_RE: Tract population count
    HU100_RE: Tract housing unit count
    Name: Boston Neighborhood
  11. a

    Superfund Sites (US EPA 2023)

    • rsap-open-data-bcdc.hub.arcgis.com
    Updated Dec 31, 2024
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    San Francisco Bay Conservation & Development Commission (2024). Superfund Sites (US EPA 2023) [Dataset]. https://rsap-open-data-bcdc.hub.arcgis.com/datasets/superfund-sites-us-epa-2023
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    Dataset updated
    Dec 31, 2024
    Dataset authored and provided by
    San Francisco Bay Conservation & Development Commission
    Area covered
    Description

    Shoreline Contamination Strategic Regional Priorities include contaminated sites, landfills, and superfund sites exposed to the 0.8 ft (2050) sea level rise scenario, but does not include the coastal flood hazard for shallow groundwater rise deeper than 6 ft, with Open-Active status (Contaminated sites only), that are located in census tracts with CalEnvironscreen score percentile above 75 or Pollution Burden score percentile above 95, or identified as contamination vulnerable in BCDC's Community Vulnerability mapping. Shoreline contamination sites exposed to the 0.8 ft (2050) sea level rise scenario outside Environmental Justice communities, with status other than “Open-Active”, or exposed to shallow groundwater rise with depth to water between 6-9 feet, as well as those sites identified locally are required to be included in a subregional vulnerability assessment. EJ Screening Criteria: CIscoreP > 75 Or PolBurdP > 95; contamVulnRank IN ('High contamination vulnerability', 'Highest contamination vulnerability', 'Moderate contamination vulnerability').Shared Enterprise Geodata and Services (SEGS) provides an EPA-curated collection of recommended geodata assets that are nationally relevant and support the Agency’s mission to protect human health and the environment. By connecting EPA users with curated datasets and promoting service reuse, SEGS aims to enhance information access, reduce data-storage costs, and improve the consistency and quality of data at the US EPA. This GIS dataset contains polygons depicting U.S. EPA Superfund Site boundaries. Site boundaries are polygons representing the footprint of a whole site, defined for purposes of this effort as the sum of all of the Operable Units and the current understanding of the full extent of contamination. For Federal Facility sites, the total site polygon may be the Facility boundary. As site investigation and remediation progress, OUs may be added, modified or refined, and the total site polygon should be updated accordingly. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services. EPA is interested in your feedback on this item and the SEGS collection. Please share any feedback to the SEGS Administrative Team at SEGServices@epa.gov. To request or modify SEGS content, please complete this Content Request Form.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Esri (2018). USA Flood Hazard Areas [Dataset]. https://center-for-community-investment-lincolninstitute.hub.arcgis.com/datasets/11955f1b47ec41a3af86650824e0c634
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USA Flood Hazard Areas

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 3, 2018
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
United States,
Description

The Federal Emergency Management Agency (FEMA) produces Flood Insurance Rate maps and identifies Special Flood Hazard Areas as part of the National Flood Insurance Program's floodplain management. Special Flood Hazard Areas have regulations that include the mandatory purchase of flood insurance for holders of federally regulated mortgages. In addition, this layer can help planners and firms avoid areas of flood risk and also avoid additional cost to carry insurance for certain planned activities.Dataset SummaryPhenomenon Mapped: Flood Hazard AreasGeographic Extent: Contiguous United States, Alaska, Hawaii, Puerto Rico, Guam, US Virgin Islands, Northern Mariana Islands and American Samoa.Projection: Web Mercator Auxiliary SphereData Coordinate System: USA Contiguous Albers Equal Area Conic USGS version (contiguous US, Puerto Rico, US Virgin Islands), WGS 1984 Albers (Alaska), Hawaii Albers Equal Area Conic (Hawaii), Western Pacific Albers Equal Area Conic (Guam, Northern Mariana Islands, and American Samoa)Cell Sizes: 10 meters (default), 30 meters, and 90 metersUnits: NoneSource Type: ThematicPixel Type: Unsigned integerSource: Federal Emergency Management Agency (FEMA)Update Frequency: AnnualPublication Date: December 18, 2024This layer is derived from the December 18, 2024 version Flood Insurance Rate Map feature class S_FLD_HAZ_AR. The vector data were then flagged with an index of 88 classes, representing a unique combination of values displayed by three renderers. (In three resolutions the three renderers make nine processing templates.) Repair Geometry was run on the set of features, then the features were rasterized using the 88 class index at a resolutions of 10, 30, and 90 meters, using the Polygon to Raster tool and the "MAXIMUM_COMBINED_AREA" option. Not every part of the United States is covered by flood rate maps. This layer compiles all the flood insurance maps available at the time of publication. To make analysis easier, areas that were NOT mapped by FEMA for flood insurance rates no longer are served as NODATA but are filled in with a value of 250, representing any unmapped areas which appear in the US Census' boundary of the USA states and territories. The attribute table corresponding to value 250 will indicate that the area was not mapped.What can you do with this layer?This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "flood hazard areas" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "flood hazard areas" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.Processing TemplatesCartographic Renderer - The default. These are meaningful classes grouped by FEMA which group its own Flood Zone Type and Subtype fields. This renderer uses FEMA's own cartographic interpretations of its flood zone and zone subtype fields to help you identify and assess risk. Flood Zone Type Renderer - Specifically renders FEMA FLD_ZONE (flood zone) attribute, which distinguishes the original, broadest categories of flood zones. This renderer displays high level categories of flood zones, and is less nuanced than the Cartographic Renderer. For example, a fld_zone value of X can either have moderate or low risk depending on location. This renderer will simply render fld_zone X as its own color without identifying "500 year" flood zones within that category.Flood Insurance Requirement Renderer - Shows Special Flood Hazard Area (SFHA) true-false status. This may be helpful if you want to show just the places where flood insurance is required. A value of True means flood insurance is mandatory in a majority of the area covered by each 10m pixel.Each of these three renderers have templates at three different raster resolutions depending on your analysis needs. To include the layer in web maps to serve maps and queries, the 10 meter renderers are the preferred option. These are served with overviews and render at all resolutions. However, when doing analysis of larger areas, we now offer two coarser resolutions of 30 and 90 meters in processing templates for added convenience and time savings.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

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