{5a535ea3-0e87-4331-b083-906954bfae16} eng utf8 dataset dataset EnviroAtlas Coordinator U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas Geospatial Data Owner (919) 541-3832 109 T.W. Alexander Drive Research Triangle Park NC 27709 EnviroAtlas@epa.gov https://www.epa.gov/enviroatlas pointOfContact 2025-07-23 ISO 19139 Geographic Information - Metadata - Implementation Specification 2007 102039 Esri 8.1.2 EnviroAtlas - 2019 Floodplain Land Cover Proportions for the Conterminous United States 2022-05-04 creation 2022-07-13 publication U.S. Environmental Protection Agency (US EPA) originator U.S. EPA Office of Research and Development (ORD) - Center for Public Health and Environmental Assessment (CPHEA) Research Triangle Park, NC publisher tableDigital This EnviroAtlas dataset represents the percentage of land area in estimated floodplains that is classified as natural, forest, shrubland, wetland, developed, low intensity developed, medium intensity developed, high intensity developed, agriculture, pasture, cropland, and rangeland land cover for each 12-digit hydrologic unit code (HUC) in the conterminous United States. Land cover is defined using the 2019 National Land Cover Dataset (NLCD). Floodplains were defined using the EnviroAtlas FEMA_RF_Blend dataset dated 3/25/2019. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets). This dataset is useful for evaluating the relative contribution of various land cover to ecosystem goods and services within available floodplains including natural, managed, and developed land cover. The purpose of this dataset is to provide comparative metrics for available floodplain area within a watershed with an emphasis on floodplain management. The overall goal of EnviroAtlas is to employ and develop the best available science to map indicators of ecosystem services production, demand, and drivers for the nation. completed EnviroAtlas Coordinator U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas Geospatial Data Owner (919) 541-3832 109 T.W. Alexander Drive Research Triangle Park NC 27709 EnviroAtlas@epa.gov https://www.epa.gov/enviroatlas publisher asNeeded Alabama Arizona Arkansas California Colorado Connecticut Delaware Florida Georgia Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas United States Utah Vermont Virginia Washington Washington DC West Virginia Wisconsin Wyoming place EPA Place Names 2015-01-31 publication Ecosystem Environment Surface Water Water theme EPA GIS Keyword Thesaurus 2007-11-02 publication 020:072 theme Federal Program Inventory 2013-09-16 publication 12-digit HUCs Ecosystem Services EnviroAtlas Environment Environmental Atlas Land Cover theme User 2022-01-11 publication None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated. EPA Public Domain License licenseUnrestricted https://edg.epa.gov/EPA_Data_License.html unclassified https://project-open-data.github.io/schema/#accessLevel textTable eng utf8 Microsoft Windows 10 Version 10.0 (Build 18363) ; Esri ArcGIS 12.7.0.26828 true -128.007244 -65.25485 22.868654 51.64959 2019-01-01T00:00:00 2019-12-31T00:00:00 This dataset can be joined to the EnviroAtlas feature class NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS using the field 'HUC_12'. File Geodatabase Table https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip download download https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip download download https://www.epa.gov/enviroatlas/enviroatlas-data information information https://enviroatlas-epa.hub.arcgis.com/search?tags=EA-LandCoverInFloodplains information information https://www.epa.gov/enviroatlas information information dataset Tests for integrity have not been performed. EPA National Geospatial Data Policy Features have been reviewed by U.S. EPA EnviroAtlas Project Managers for public release. true Features represented have not been tested for completeness EPA National Geospatial Data Policy Features have been reviewed by U.S. EPA EnviroAtlas Project Managers for public release. true Obtained the 12-digit HUC boundary feature class, NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS, from the EnviroAtlas 2015-08-20T00:00:00 This data set is a complete digital hydrologic unit boundary layer to the Subwatershed (12-digit) 6th level for the entire United States. This data set consists of geo-referenced digital data and associated attributes created in accordance with the "Federal Guidelines, Requirements, and Procedures for the National Watershed Boundary Dataset; Chapter 3 of Section A, Federal Standards, Book 11, Collection and Delineation of Spatial Data; Techniques and Methods 11-A3" (04/01/2009). http://www.ncgc.nrcs.usda.gov/products/datasets/watershed/index.html . Polygons are attributed with hydrologic unit codes for 4th level sub-basins, 5th level watersheds, 6th level subwatersheds, name, size, downstream hydrologic unit, type of watershed, non-contributing areas and flow modification. 102039 Esri 8.1.2 EnviroAtlas - HU12_polygon 2015-04-01 publication true -160.247041 -64.565191 17.673736 50.634717 Obtained the EnviroAtlas Estimated Floodplain FEMA Blend - CONUS raster (FEMA_RF_Blend.tif) (https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download). 2019-04-04T00:00:00 This EnviroAtlas national map displays areas estimated to be inundated by a 100-year flood, also known as the 1% annual chance flood. These data are based on the Federal Emergency Management Agency (FEMA) 100-year flood inundation maps with the goal of creating a seamless floodplain map at 30-meter resolution for the conterminous United States. This map identifies a given pixel’s membership in the 100-year floodplain and completes areas that FEMA has not yet mapped. 102039 Esri 8.1.2 EnviroAtlas - Estimated Floodplain Map of the Conterminous U.S. 2018-06-04 revision true -127.908725 -65.254445 22.885744 51.649681 Downloaded the NLCD 2019 Land Cover (CONUS) 2021-11-16T00:00:00 The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details. National Land Cover Database (NLCD) 2019 Land Cover Conterminous United States 2021-06-04 publication true -130.232828 -63.672192 21.742308 52.877264 2019-01-01T00:00:00 2019-12-31T00:00:00 Used the Floodplain Land Cover Proportions tool from the Riparian Characteristics toolset in the Analytical Tools Interface for Landscape Assessments (ATtILA v2) ArcGIS Pro toolbox to calculate FP_N_INDEX, FP_PFOR, FP_PSHRB, FP_WETL, FP_DEV, FP_DEVL, FP_DEVM, FP_DEVH, FP_AGR, FP_AGRP, FP_AGRC, and FP_PRNG. The QA fields were added to capture the amount of land and water areas within the designated floodplains as well as the percentage of the total reporting unit that was classified as flood plain. Output table was named, FLCP2019_Initial. Inputs used were NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS as the reporting unit feature, nlcd_2019_land_cover_l48_20210604.img as the land cover grid, and FEMA_RF_Blend.tif as the Floodplain raster. Used a user-defined land cover scheme (Floodplain NLCD 2016 ICELAND) to define land cover classes. The ICELAND designation in the land cover scheme indicates that areas of perennial ice are considered as available LAND area in the percentage calculations. 2022-03-22T09:36:00 Joined the output table, FLCP2019_Initial to the attribute table for NHDPlusV2_WBDSnapshot_EnviroAtlasA_CONUS using the shared HUC_12 field. Need to account for the 12-digit HUCS that do not contain any floodplain area within their boundaries. Records for these HUCS are omitted from the initial output table. 2022-03-22T14:58:00 Used Table to Table to export the joined table to generate a table for all 12-digit HUCS including those without any floodplain data. Output table was: FLCP2019_CONUS. Need to account for the 12-digit HUCS that do not contain any floodplain area within their boundaries. Records for these HUCS are omitted from the initial output table. 2022-03-22T14:59:00 Removed the fields, Pct_Land, HUC_8, HUC_4, HUC_4_Long, OBJECTID, HUC_12_13, LCP_OVER, and LCP_TOTA, from the FLCP2019_CONUS table using the Field View option. 2022-03-22T15:03:00 Renamed the following fields in FLCP2019_CONUS: FLCP_EFFA to FP_M2LAND, FLCP_EXCA to FP_M2WATER, and FLCP_PCT to p_FP. New field names more accurately describe the field contents, and match the field names used in previous EnviroAtlas analyses. 2022-05-04T14:24:00 Selected all records in the table where p_FP IS NULL (n=407), and set the value to zero for those records in the following fields: FP_M2LAND, FP_M2WATER, and p_FP. If p_FP is null, no flood plain areas are found within the HUC boundaries. The amount of land area and water area in the flood plain would therefore be zero. The percentage of the HUC that is classified as flood plain would also be 0. The NULL values in the flood plain land cover proportions metric fields for these selected records were left unchanged. 2022-05-04T14:39:00 Deleted unnecessary fields, Shape_Length, and Shape_Area, from the FLCP2019_CONUS table. 2022-05-04T14:48:00 Selected all records in the table where p_FP is greater than 100 (n=136), and set the value to 100. Values greater than 100 can occur when comparing the raster measure of a HUC to its vector measure. 2022-07-14T00:00:00 asNeeded 2025-07-30