{A0F2736A-3F50-4BB2-B3D7-B12C3552AAE6} 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 Riparian Land Cover Proportions by 12-Digit HUC for the Conterminous United States 2022-02-07 creation 2022-05-04 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 that is classified as forest, forest including woody wetlands, and natural land cover that occurs within 45 meters of streams, rivers, and other hydrologically connected waterbodies within each 12-digit hydrologic unit code (HUC) in the conterminous United States. Land cover is defined using the 2019 National Land Cover Dataset (NLCD). Streams were derived from the NHD (National Hydrography Dataset) High Resolution dataset obtained 4 January 2022. Datasets for other geographies were produced separately; metadata for these related datasets may be found here: Alaska https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/RiparianLC_AK.xml, Hawaii https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/RiparianLC_HI.xml, Puerto Rico and the U.S. Virgin Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/RiparianLC_PRVI. This dataset was produced by 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 potential value of ecosystem services provided by vegetation communities, and the impacts of developed land cover. 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 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 Riparian 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-RiparianLC_CONUS 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 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 Downloaded the NHD High Resolution datasets by HU-4 Subregions as geodatabases from https://www.usgs.gov/core-science-systems/ngp/national-hydrography/access-national-hydrography-products. 2022-01-04T10:27:00 The National Hydrography Dataset (NHD), Watershed Boundary Dataset (WBD), and NHDPlus High Resolution (NHDPlus HR) are digital geospatial datasets that map and model the surface water of the United States. The NHD and WBD are geospatial datasets that map the Nation’s surface water network and hydrologic drainage areas. The NHD, at 1:24,000-scale or larger, represents the Nation’s rivers, streams, canals, lakes, ponds, glaciers, coastlines, dams, and streamgages, and related features. The NHD and WBD are managed by the USGS under OMB Circular A-16 and as a part of the FGDC NGDA Inland Water Theme, with collaboration, support, and cost-sharing with many other federal, state, and local entities. This includes formalized Stewardship Agreements with partners to improve the NHD and WBD locally. 4269 EPSG 9.8(3.0.1) National Hydrography Dataset (NHD) by HU-4 Subregion mapDigital Used the utility, Process NHD for EnviroAtlas Analysis in the ATtILA v2.tbx, to processed the downloaded NHD files to create three output files XXXX_strmLine, XXXX_strmLineNAP, and XXXX_strmAreal, where XXXX is the name of the high resolution NHD 4 digit HUC geodatabase. The general processing streps are: 1. Create layer for NHDFlowline. 2. Select from NHDFlowline layer features with ftypes equal to StreamRiver or Connector. 3. Copy selected features to output feature class. The suffix, "_strmLineNAP", will be appended to the filename. 4. Add NHDFlowline features with ArtificialPath ftype to the selected StreamRiver and Connector features. 5. Copy selected NHDFlowline features to output feature class. The suffix, "_strmLine", will be appended to the filename. 6. Find line ends for selected NHDFlowline features. 7. Use NEAR to calculate distances between line ends. 8. Select nodes where the NEAR_DIST value <> 0. These are the terminal nodes. 9. Copy terminal nodes to intermediate output feature class. The suffix, "_strmEnds", will be appended to the filename. 10. Create layer for NHDArea. 11. Select from NHDArea layer features where the ftype = Wash. 12. Reduce the selected Washes to just those that are within 1 Meter of selected NHDflowlines 13. Add NHDArea features with ftypes equal to StreamRiver, Rapids, or Lock Chamber features to the selected Washes. 14. Create layer for NHDWaterbody. 15. Select from NHDWaterbody layer features with ftype equal to Reservoir, LakePond, or Ice Mass. 16. Reduce the selected NHDWaterbody features to just those that are within 1 Meter of selected NHDflowlines. 17. Merge the selected NHDArea features with the selected NHDWaterbody features. 18. Add field, "tmp_diss", to the merged feature class attribute table and set its value to 1. 19. Dissolve the merged feature class using the "tmp_diss" field. 20. Perform a second dissolve on the dissolved feature class using the "tmp_diss" field. 21. Create layer for the merged and dissolved areal feature class. 22. Select from the merged and dissolved areal feature class, features that are within 1 Meter of derived terminal nodes. 23. Add to those features any additional merged and dissolved areal features that intersect the selected NHDFlowlines. 24. Copy selected merged and dissolved areal features to output feature class. The suffix, "_strmAreal", will be appended to the filename. 2022-01-04T10:40:00 Created a new field in the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS layer called, "HUC_4_Long". Calculated its value as: "WBDSnapshot_"+!HUC_12![:4] This field can be used to split the 12-digit HUC's polygons into separate 4-digit HUC groupings. Each output feature grouping will have the name, "WBDSnapshot####", where #### is the 4-digit HUC identifier. By creating smaller reporting unit themes, certain geoprocessing steps are more likely to run to completion. 2022-01-12T10:16:00 Split the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS layer into 4-digit HUC groupings via the HUC_4_Long field using the Split by Attribute geoprocessing tool. Output files are named, "WBDSnapshot_####", where #### is the 4 digit HUC code. 4-digit NHD geodatabases may include features from neighboring HUCs therefore all features for a particular 4-digit HUC as delineated in the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS are not necessarily included in that 4-digit HUC geodatabase. This is one step to help account for this. 2022-01-12T10:22:00 Merged all of the Process NHD for EnviroAtlas Analysis tool's output XXXX_strmLineNAD features for the 2-digit HUC regions in the conterminous US (01 - 18) into strmLineNAP_CONUS 4-digit NHD geodatabases may include features from neighboring HUCs therefore all features for a particular 4-digit HUC as delineated in the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS are not necessarily included in that 4-digit HUC geodatabase. This is one step to help account for this. 2022-01-18T08:00:00 Performed an Identity operation with the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS layer to assign the EnviroAtlas WBD values to the merged strmLineNAP_CONUS layer. Output was strmLineNAP_CONUS_WBD. 4-digit NHD geodatabases may include features from neighboring HUCs therefore all features for a particular 4-digit HUC as delineated in the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS are not necessarily included in that 4-digit HUC geodatabase. This is one step to help account for this. 2022-01-18T11:00:00 Merged all of the Process NHD for EnviroAtlas Analysis tool's output XXXX_strmAreal features for the 2-digit HUC regions in the conterminous US (01 - 18) into strmAreal_CONUS 4-digit NHD geodatabases may include features from neighboring HUCs therefore all features for a particular 4-digit HUC as delineated in the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS are not necessarily included in that 4-digit HUC geodatabase. This is one step to help account for this. 2022-01-19T07:00:00 Performed an Identity operation with the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS layer to assign the EnviroAtlas WBD values to the merged strmAreal_CONUS layer. Output was strmAreal_CONUS_WBD. 4-digit NHD geodatabases may include features from neighboring HUCs therefore all features for a particular 4-digit HUC as delineated in the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS are not necessarily included in that 4-digit HUC geodatabase. This is one step to help account for this. 2022-01-19T11:00:00 Calculated a new value for the HUC_4_Long field in the attribute table for strmLineNAP_CONUS_WBD to use it to split the feature class by the attribute in this field. The value was calculated as: "WBDStrmLine_"+!HUC_12![:4] 4-digit NHD geodatabases may include features from neighboring HUCs therefore all features for a particular 4-digit HUC as delineated in the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS are not necessarily included in that 4-digit HUC geodatabase. This is one step to help account for this. 2022-01-19T12:16:00 Calculated a new value for the HUC_4_Long field in the attribute table for strmAreal_CONUS_WBD to use it to split the feature class by the attribute in this field. The value was calculated as: "WBDStrmAreal_"+!HUC_12![:4] 4-digit NHD geodatabases may include features from neighboring HUCs therefore all features for a particular 4-digit HUC as delineated in the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS are not necessarily included in that 4-digit HUC geodatabase. This is one step to help account for this. 2022-01-19T13:13:00 Split the strmAreal_CONUS_WBD layer into 4-digit HUC groupings via the HUC_4_Long field using the Split by Attribute geoprocessing tool. Output files are named, "WBDStrmAreal_####", where #### is the 4 digit HUC code. 4-digit NHD geodatabases may include features from neighboring HUCs therefore all features for a particular 4-digit HUC as delineated in the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS are not necessarily included in that 4-digit HUC geodatabase. This is one step to help account for this. 2022-01-19T13:31:00 Split the strmLineNAP_CONUS_WBD layer into 4-digit HUC groupings via the HUC_4_Long field using the Split by Attribute geoprocessing tool. Output files are named, "WBDStrmLine_####", where #### is the 4 digit HUC code. 4-digit NHD geodatabases may include features from neighboring HUCs therefore all features for a particular 4-digit HUC as delineated in the NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS are not necessarily included in that 4-digit HUC geodatabase. This is one step to help account for this. 2022-01-19T17:10:00 Land cover percentages in the buffer zones for each 4-digit HUC regions were calculated using the Riparian Land Cover Proportions tool in the Riparian Characteristics toolset of the Analytical Tools Interface for Landscape Assessments (ATtILA v2) ArcGIS Pro toolbox. Metrics selected were: rNI (riparian natural vegetation), rFor (riparian forest), and rFor90 (riparian forest and woody wetlands). Performed the calculations separately for each of the 202 4-digit HUC regions in the conterminous US. For each separate 4-digit HUC region, WBDSnapshot_XXXX was used as the reporting unit feature and WBDStrmAreal_XXXX and WBDStrmLine_XXXX as the input stream features. XXXX is the 4-digit HUC code for the separate files. NLCD_2019_Land_Cover_L48 was used as the land cover grid in all calculations with the user-defined land cover scheme (NLCD 2001 - 2016 ICELAND selected to define land cover/land use classes. The ICELAND designation in the land cover scheme indicates that areas of perennial ice is considered as available LAND in the percentage calculations. The output tables were named, RLCP45_NAP_HU##, where ## is the 2-digit HUC code. Output tables were named, RLCP_XXXX. 2022-01-25T11:55:00 Merged all of the RLCP_XXXX tables into a single table named, RLCP2019_CONUS. 2022-02-08T06:38:00 Renamed the output to: RLCP2019_CONUS_ATtILA to account for the HUCs that are missing NHD data. There are 82,184 records in RLCP2019_CONUS_ATtILA while there are 82,915 12-digit HUCs in the Lower 48. 731 12-digit HUC areas are missing RLCP values due to lack of NHD features or the 12-digit HUC is comprised of water only. 2022-02-08T15:00:00 Joined the RLCP2019_CONUS_ATtILA attribute table to the HUC_12_IDS table. The HUC_12_IDS table has of all of the HUC12 ID values (82,915) used in the EnviroAtlas analyses. This accounts for HUCs that did not have a metric value calculated for them because the input data was missing or the item of interest did not occur in those particular HUCs. For example, some HUCs are comprised completely of water values. Since areas of water were removed from the nlcd_2019_land_cover_l48_20210604 raster, these HUCs will be missing from the output zonal statistics table. 2022-02-08T15:38:00 Exported this joined table using the Table to Table tool in ArcMap. Kept only the HUC12 field and the calculated metric fields. Output table was named, RLCP2019_CONUS. 2022-02-08T15:45:00 Added a field to the RLCP2019_CONUS table named, rBUFF45. A decision was made to calculate the percentage of the 12-digit HUC that is in the 45-meter riparian buffer area. ATtILA will calculate this value if the QAFields option is selected in the Additional Options parameter. This wasn't checked on the 2019 RLCP run, but the riparian buffer area vector features were saved and merged into Buffers45_CONUS. We can use this feature class along with the 12-digit HUC feature class to calculate this percentage value manually. This is one step in the process. 2022-03-31T08:00:00 Joined the attribute table for NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS to the attribute table for RLCP2019_CONUS using the common field, HUC_12. Preparing to calculate the percentage of the 12-digit HUC that is in the 45-meter riparian buffer area. The attribute table for NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS will provide the 12-digit HUC's vector area. 2022-03-31T08:05:00 Joined the attribute table for Buffer45_CONUS to the attribute table for RLCP2019_CONUS using the common field, HUC_12. Preparing to calculate the percentage of the 12-digit HUC that is in the 45-meter riparian buffer area. The attribute table for Buffer45_CONUS will provide the buffer area measurement within the12-digit HUC. 2022-03-31T08:10:00 Calculated the value of the rBUFF45 field in RLCP2019_CONUS as: !Buffers45_CONUS.Shape_Area! / !NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS.Shape_Area! * 100 2022-03-31T08:15:00 Set the value of rBUFF45 to zero if the field is NULL (n = 729). If the 12-digit HUC does not contain any stream buffer area, the proportion of the 12-digit HUC that is riparian buffer is zero. 2022-05-03T15:17:00 asNeeded 2025-07-30