United States of America environment data

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.

https://coast.noaa.gov/arcgis/rest/services/FloodExposureMapper/CFEM_FEMAFloodZones/MapServerFEMA provides access to the National Flood Hazard Layer (NFHL) through web mapping services. The NFHL is a computer database that contains FEMA.s flood hazard map data. 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 data depict effective flood hazard information and supporting data used to develop the information. The primary flood hazard classification is indicated in the Flood Hazard Zones layer.

This dataset integrates high-resolution layers such as Flood Hazard Zones, Base Flood Elevations, and Letters of Map Revisions (LOMR) to depict geographic areas at risk of flooding. It also includes critical infrastructure data like Levees and Coastal Transects to support precise risk assessment and floodplain management.

View current service status Current details are maintained by EGP Service Status Checker. 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 Revision (LOMRs). The NFHL is updated as studies go effective. For more information, visit FEMA's Map Service Center (MSC). The default base map conforms to FEMA's specification for horizontal accuracy. 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. For FEMA's policy on the use of digital flood hazard data for NFIP purposes see Standards for Flood Risk Products.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service are derived from a dataset produced by Forest Trends' Ecosystem Marketplace containing points and polygons depicting the location of market-based programs and projects addressing ecosystem services protection and their enabling conditions in the United States. This dataset contains polygons and points representing the location of markets and projects primarily targeting wetland and stream ecosystem services per USACE RIBITS data and Ecosystem Marketplace research. Polygons for projects represent the project footprint (i.e. land area comprising the project site) or area of primary impact. Polygons for markets represent the entire region that shares market infrastructure and rules, or a larger program encompassing many smaller projects, such as in-lieu fee programs. Points represent the centroids of market and project polygons with the exception of national markets, whose points represent administrative headquarters locations. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

NOTE: this is exercise data and not representative of real events. The original data is from wildfires in New Mexico in June 2025. Dates of Images: Post-Event: May 23, 2026; May 22, 2026 Pre-Event: May 20, 2025 Date of Next Image: Unknown Summary: These pre-fire and post-fire images pair were analyzed for normalized burn ratio (NBR). The input images were generated from the Harmonized Landsat Sentinel-2 (HLS) dataset at 30m resolution. NBR is defined mathematically as (NIR – SWIR)/(NIR + SWIR) where NIR is near-infrared and SWIR is short-wave infrared. dNBR is computed by the difference between the pre-fire NBR and the post-fire NBR. More information on dNBR can be found here: https://un-spider.org/advisory-support/recommended-practices/recommended-practice-burn-severity/in-detail/normalized-burn-ratio. dNBR data may be computed while the fire is in progress. This is intentionally done to prioritize rapid data availability for proactive disaster response but means data can change over the course of the fire. Check fire containment and image dates for further context on image timing. Suggested Use: NBR is commonly used as a proxy to indicate areas which have charred vegetation. Darker areas (more negative values) in the NBR image more strongly represent the presence of burned vegetation. Since the dNBR considers the condition of the scene before the fire occurred, the resulting value has been used as a proxy for burn severity. Higher dNBR values represent a proxy for greater burn severity. Negative dNBR values may represent a re-greening of or growth of vegetation in between pre and post imagery. The use of this dNBR product as a quantitative metric of burn severity at the time of posting this dataset should be strongly caveated. This is due to several dNBR limitations: The spectral band selections used for dNBR calculations, and the implication of changes observed following fire in those wavelengths, primarily pertain to how vegetation spectral signatures change in NIR and SWIR wavelengths following charring. Because of this, dNBR may not accurately describe burned surfaces that are not vegetation (e.g. human built infrastructure). This dataset has not been validated by independent burn severity assessments. The degree to which dNBR is accurately determined depends on careful selection of pre and post event imagery. An effort was made to use the highest quality imagery (i.e. cloud free) with representative conditions for each scene; however, it is unknown at the time of this posting how selection of different pre/post image pairs could affect the derived dNBR values. Satellite/Sensor: Harmonized Landsat Sentinel-2 data: https://www.earthdata.nasa.gov/data/projects/hls Resolution: 30 meters Credits: NASA LP DAAC: https://www.earthdata.nasa.gov/data/projects/hls Service URL: https://gis.earthdata.nasa.gov/portal/home/item.html?id=42dc8b50e387435ea4dc80a13c4ca9ca WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2604_202605_FIRE_CA/ex2604_hls_dnbr/MapServer/WMSServer

The Combined Hazard Present grid is created by building the union of the 10% annual chance storm flood surface, the 1% annual chance storm flood surface and the Category 5 Maximum of Maximums (MOM) Hurricane flood surface into a single raster surface. Raster elements are assigned a numeric value (REV)  by applying a qualitative “orness” measure for any annual chance flood event that yields the maximum of the given data each raster element location.  The 10% annual chance storm flood elevation is derived through statistical analyses of tide gauges within the SACS study area, utilizing a 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 storm flood surface hazard is derived by slicing the topographic DEM sourced from the NOAA Sea Level Rise Viewer across the SACS Study Area: https://coast.noaa.gov/slrdata/ with the 10% annual chance storm flood elevation.  Each raster element of the 10% annual chance storm flood surface hazard is assigned a value of 0.1. The 1% annual chance storm flood surface hazard  is aggregated from FEMA’s National Flood Hazard Layer (https://www.fema.gov/national-flood-hazard-layer-nfhl) and assigned a value of 0.01. The Category 5 Maximum of Maximums Hurricane flood hazard are sourced from NOAA’s storm surge SLOSH inundation data (https://www.nhc.noaa.gov/nationalsurge/#data). These data were assigned a value of 0.001 to reflect the low probability of a Category 5 hurricane event. The SACS Combined Hazard Present grid resolution is 30 meters. This Tier 1 dataset is available for download here: Tier 1 Risk Assessment Download

- This layer is a subset of the floodplain_cfw_studies layer. As the City of Fort Worth (City) develops their urban flood risk identification tools, the City Flood Risk Area (CFRA) is a regulatory product created with a high level of detail to regulate development in areas of high urban flood risk outside of the FEMA mapped floodplains.   The City has created CFRA mapping products for several study areas as part of a detailed modeling effort using InfoWorks ICM and XPSWMM 1D/2D software for the 100-year storm event based on Atlas 14 precipitation data. A seven-step standardized workflow methodology was used to process this new CFRA mapping and refine the boundaries with emphasis on repeatability and improved efficiency.  These steps aim to remove excessive noise, eliminate internal voids, evaluate isolated polygons, and smoothen the external polygon boundary to make the mapping output aesthetically pleasing and easier to use. The parameters used in the workflow process to perform the cleaning and smoothening steps were fine-tuned to work universally across all CFRAs.  Results were compared to the raw data received from the City for general shape conformance and major approximations due to computer processing and the parameters were found to be generally universally acceptable for all CFRA areas across the City.

This service is available to all ArcGIS Online users with organizational accounts. For more information on this service, including the terms of use, visit us online at http://goto.arcgisonline.com/landscape11/USA_Flood_Hazard_Areas.

Copperbelly Conservation Agreement Area. These areas were developed by biologists in support of the Copperbelly Water Snake Conservation Agreements for Illinois, Southern Indiana, and Kentucky (see http://www.fws.gov/midwest/Endangered/reptiles/copprfct.html). Kentucky is considered to have the largest number of copperbelly watersnake (Nerodia erythrogaster neglecta ) The snake was once abundant throughout western Kentucky but is now restricted to isolated populations

This service is available to all ArcGIS Online users with organizational accounts. For more information on this service, including the terms of use, visit us online at http://goto.arcgisonline.com/landscape11/USA_Flood_Hazard_Areas.

Dates of Images: Sept 17, 2018 (1700), Sept 20, 2018 (1410), Sept 22, 2018 (1705), Sept 23, 2018 (1545), all times are UTC Date of Next Image: None Summary: UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar), a NASA facility instrument mounted on a Gulfstream-III aircraft, is an airborne radar system capable of monitoring rapidly evolving flood events regardless of cloud cover. It can support daily flood extent maps that track flood cresting and recession following hurricane landfall or periods of heavy precipitation.  The UAVSAR radar produces an L-band signal that can detect open water as well as water under canopies. This makes it especially useful for identifying flooding in places where it may not be visible in other aerial or satellite images. The flood extend map described here identifies the following classes: open water, flooded vegetation, not flooded, and no data.Repeated UAVSAR acquisitions fill gaps between satellite passes and support both:Response phase: providing high-resolution detection of active flooding, identifying flood-crest locations, and extending situational awareness in areas not covered by stream, tide, or rain-gauge networks. Recovery phase: documenting peak flood extent and areas of sustained inundation, supporting damage assessment, access planning, and post-event impact analyses. The map legend has been reconciled with the OPERA Dynamic Surface Water Extent product from Sentinel-1 (DSWx-S1), specifically the WTR layer. The product specification document for OPERA can be found here: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite/ UAVSAR-derived flood inundation products were used to characterize both storm-surge and riverine flooding in North Carolina following Hurricane Florence, which made landfall on September 14, 2018. The Gulfstream-III aircraft flew over impacted areas on September 17, 20, 22, and 23, capturing the progression of floodwaters as they receded. Suggested Use: Legend Classifications: Blue – Open Water: Areas that are completely covered by water and clearly visible from above. This means the sensor has a direct view of the water surface, with no blockage from trees, buildings, or terrain. This class includes lakes, rivers, and flooded areas where land is completely covered by water. Green – Flooded Vegetation: Areas where water is present but partially hidden by vegetation. This includes places like flooded forests (water under trees), agricultural fields, wetlands, golf courses, and urban green spaces with standing water. White – Not Flooded: Areas without flooding. This includes both vegetated land (like forests or grass) and non-vegetated surfaces (such as bare soil, roads, and parking lots). Transparent – No Data: Areas where no information is available. This happens either because the sensor did not capture data there or those areas were excluded from the current map. Things to keep in mind: Users are advised to examine the spatial context and multiple observation dates to infer flooding in roads. While SAR-based flood classification typically achieves high accuracy (>80%), two persistent challenges remain: (1) distinguishing open water from other low-backscatter surfaces (e.g., roads), and (2) separating flooded vegetation from built-up areas, which generate similar double-bounce scattering responses. Additional documentation on this data can be found here. Data can be downloaded here. Satellite/Sensor/Resolution: Instrument: UAVSAR L-band Synthetic Aperture Radar. Model: this classification followed Denbina et al. (2020) DOI: 10.1109/IGARSS39084.2020.9324379.  Spatial grain: The pixel posting is approximately 30 meters (0.0002778 degrees) and the original UAVSAR images used to make this map have approximately 6 meters posting. Credits: This map was created by Richard Chen and Annemarie Peacock (NASA/JPL) with imagery from the UAVSAR sensor (https://uavsar.jpl.nasa.gov). For questions, please contact UAVSAR Project Manager, Yunling Lou (ylou@jpl.nasa.gov).

Section 305(b) of the Clean Water Act requires states to assess the condition of the Waters of the US. The Kentucky Division of Water, in cooperation with other agencies, collects biological and water quality data to assess the condition of the resource and reports this to Congress every two years in the Integrated Report to Congress. (https://www.water.ky.gov/sw/swmonitor/305b/) These data represent the assessment results for surface waters of the Commonwealth of Kentucky. Box Download: https://ky.box.com/v/energy-environment/file/850633428475

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service are derived from a dataset produced by Forest Trends' Ecosystem Marketplace containing points and polygons depicting the location of market-based programs and projects addressing ecosystem services protection and their enabling conditions in the United States. This dataset contains polygons and points representing the location of markets and projects primarily targeting forest and land-use carbon-related ecosystem services per Ecosystem Marketplace research. Polygons for projects represent the area of primary impact. Polygons for markets represent the entire region that shares market infrastructure and rules, or a larger program encompassing many smaller projects. Points represent the centroids of forest and land-use carbon markets and lat/lon locations of forest and land-use carbon projects with the exception of national markets, whose points represent administrative headquarters locations.EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service are derived from a dataset produced by Forest Trends' Ecosystem Marketplace containing points and polygons depicting the location of market-based programs and projects addressing ecosystem services protection and their enabling conditions in the United States. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

The National Flood Hazard Layer (NFHL) is a compilation of GIS data that comprises a nationwide digital Flood Insurance Rate Map. The GIS data and services are designed to provide the user with the ability to determine the flood zone, base flood elevation, and floodway status for a particular location. It also has information about the NFIP communities, map panels, cross sections, hydraulic structures, Coastal Barrier Resource System, and base maps such as road, stream, and public land survey data. Through flood studies, FEMA produces Flood Insurance Study Reports, FIRM Panels, and FIRM Databases. FIRM Databases that become effective are incorporated into the NFHL. Updates to the NFHL are issued through Letters of Map Revision (LOMRs) and Letters of Map Amendment (LOMAs). Continuously updated, the NFHL serves as a Digital Flood Insurance Rate Map representing the current effective flood data for those communities where maps have been digitized. NFHL data can be viewed with widely available GIS software, including freely available programs that work with GIS shapefiles. For more information on the NFHL, see the online resources referenced herein. ___Using base maps:___ The minimum horizontal positional accuracy for base map hydrographic and transportation features used with the NFHL is the NSSDA radial accuracy of 38 feet. ___Letter of Map Amendment (LOMA) point locations___ are approximate. The location of the LOMA is referenced in the legal description of the letter itself. LOMA points can be viewed in the NFHL Interactive Map on the FEMA GeoPlatform.

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. For questions or to find out additional information about this data, please visit the FEMA National Flood Hazard Layer page at: https://www.fema.gov/national-flood-hazard-layer-nfhl.

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

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 generated following the methodology for the Tier 1 Risk Assessment cited in the USACE North Atlantic Coastal Comprehensive Study (NACCS). 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 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

Sea level rise scenarios for the City of Santa Monica.

The Combined Hazard Plus Sea Level Rise grid is created by building the union of the 10% annual chance storm flood surface, the 1% annual chance storm flood surface and the Category 5 Maximum of Maximums (MOM) Hurricane flood surface into a single raster surface. Raster elements are assigned a numeric value (REV) by applying a qualitative “orness” measure for any annual chance flood event that yields the maximum of the given data each raster element location.  The 10% annual chance storm flood elevation is derived through statistical analyses of tide gauges within the SACS study area, utilizing a 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 storm flood surface hazard is derived by slicing the topographic DEM sourced from the NOAA Sea Level Rise Viewer across the SACS Study Area: https://coast.noaa.gov/slrdata/ with the 10% annual chance storm flood elevation.  Each raster element of the 10% annual chance storm flood surface hazard is assigned a value of 0.1. The 1% annual chance storm flood surface hazard is aggregated from FEMA’s National Flood Hazard Layer (https://www.fema.gov/national-flood-hazard-layer-nfhl) and assigned a value of 0.01. The Category 5 Maximum of Maximums Hurricane flood hazard are sourced from NOAA’s storm surge SLOSH inundation data (https://www.nhc.noaa.gov/nationalsurge/#data). These data were assigned a value of 0.001 to reflect the low probability of a Category 5 hurricane event. Three feet of sea level rise were added in a “bathtub approach” to the 10% and 1% chance events. Three feet of sea level rise corresponds to the USACE medium curve for a 100 year projection, or the USACE high curve for a 50 year projection. For more information on USACE tools and guidance for sea-level change please refer to the following: https://www.usace.army.mil/corpsclimate/Public_Tools_Dev_by_USACE/sea_level_change/ The SACS Combined Hazard Plus Sea Level Rise resolution is 30 meters. This Tier 1 dataset is available for download here: Tier 1 Risk Assessment Download

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service are derived from a dataset produced by Forest Trends' Ecosystem Marketplace containing points and polygons depicting the location of market-based programs and projects addressing ecosystem services protection and their enabling conditions in the United States.This dataset contains polygons representing guidance, enabling policies, and regulatory drivers that facilitate ecosystem services markets per Ecosystem Marketplace research. It includes conditions that specifically establish ecosystem market mechanisms, as well as conditions that indirectly function as the regulatory driver for ecosystem markets. Data cover watershed, imperiled species and habitats, wetland and streams, and forest and land-use carbon asset types. Scales represented include watershed (HUC8), state, regional, national, and federal lands. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Contains data from the National Flood Hazard Layer, a GIS database of flood risks and regulatory flood determination data through FEMA

Overlay of the FEMA National Flood Hazard Layer and Vacaville information.

This service is available to all ArcGIS Online users with organizational accounts. For more information on this service, including the terms of use, visit us online at http://goto.arcgisonline.com/landscape11/USA_Flood_Hazard_Areas.

Evacuation Routes for Dam Inundation, Wildfire, and Tsunami/Coastal Flooding events.

Latest Study Effective Date 03/22/2022, Latest LOMR Effective Date 08/19/2022 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 Dataum of 1983 (NSRS-2007). This layer is derived from NFHL Product ID NFHL_06073C, San Diego County-wide, with Latest Study Effective Date and Latest LOMR Effective Date as mentioned at the top of this section in bold-faced type. with the additional County of San Diego, Department of Public Works, Flood Control Engineering-derived attribute FLOODPLAI.

Flood hazard areas from the FEMA FIRM data. Missing SC Counties: Horry, Georgetown, Charleston, Dorchester, Colleton, Jasper, and Beaufort (see Preliminary).

Florida Base Flood Elevations (BFE) derived from the FEMA National Flood Hazard Layer (NFHL).

Contains data from the National Flood Hazard Layer, a GIS database of flood risks and regulatory flood determination data published and managed by Federal Emergency Management Agency (FEMA). This image layer will only display (turn on visibly) when zoomed into the city/town level. Any questions please call the Onslow County GIS Department at 1-910-937-1190, Monday - Friday 8am - 5pm.