{0AB7D24B-BFC6-40CF-9C1B-641F36C18EFE} eng; USA utf8 dataset EnviroAtlas Coordinator U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, 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 19115 Geographic Information - Metadata ISO 19115:2003/Cor.1:2006(E) EnviroAtlas - Major Grains and Cotton by 12-digit HUC for the Conterminous United States 2015-05-07 publication U.S. EPA Office of Research & Development (ORD) - National Exposure Research Laboratory (NERL) Research Triangle Park NC publisher US Environmental Protection Agency (US EPA) originator This EnviroAtlas dataset shows the number of major grains grown, yield in tons, and area in hectares for several major grains and for cotton by 12-digit Hydrologic Unit (HUC). It is based on the United States Department of Agriculture's 2010 Cropland Data Layer (CDL) and data on yields and sales from the National Agricultural Statistics Service (NASS). The grains included in this dataset are corn, barley, cotton, durum wheat, oats, rye, rice, sorghum, spring wheat, soybeans, and winter wheat; it does not include data on every grain. 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 data can be used to find estimates of the amount, variety, and dollar value of grains and cotton grown in each 12-digit HUC. Users can visualize where in the US grains and cotton are most heavily produced, find out how many different kinds of grains are grown near them, or learn about the economic impact of grain and cotton production. 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-Sustainable and Healthy Communities Research Program, 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 asNeeded Ecosystem Environment theme EPA GIS Keyword Thesaurus 12-digit HUCs Agriculture Ecosystem Services EnviroAtlas Environment Environmental Atlas Food Land Supply of Ecosystem Services theme EnviroAtlas 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 None https://edg.epa.gov/EPA_Data_License.html otherRestrictions Use Constraints: 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. otherRestrictions Access Constraints: None PUBLIC https://project-open-data.github.io/schema/#accessLevel Standard Technical Controls eng; USA environment -128.02839229 -65.20336449 22.7348894 51.6773602 2007-01-01 2010-01-01 The information in this dataset is an estimate based on the best available data, and should not be seen as a precise count or measurement grain and cotton production in a HUC12. This EnviroAtlas dataset is based on data originally developed using a version of the Watershed Boundary Dataset (WBD 2011) extracted for EnviroAtlas on March 22, 2011. In 2015, EnviroAtlas transitioned from the WBD 2011 to a newer version - the National Hydrography Dataset Plus (NHDPlus) V2 WBD Snapshot, EnviroAtlas version - which includes updated 12-digit HUC boundaries for the Conterminous United States. This EnviroAtlas dataset was created by reallocating the original WBD 2011 dataset to the NHDPlus V2 WBD Snapshot using area-weighted reallocation. The area weighting process assumes that values are distributed evenly across HUCs. In cases where values are unevenly distributed within a HUC, this can result in misallocated values in the new dataset. Therefore, users should exercise caution when interpreting this data, especially in regions where there are significant changes to the 12-digit HUCs. The majority of spatial changes between the two 12-digit HUC versions took place along the California coast, in Minnesota, and along the US-Canada border, especially in New England. Metric values for most of the rest of the United States are essentially unchanged. If the user is interested in data for a specific small area, especially in areas that were modified, using the original WBD 2011 version of this dataset joined with the WBD 2011 boundary feature class should provide accurate metric values. As new versions of the dataset are developed using the 2015 HUCs, these will replace the reallocated datasets in EnviroAtlas. Before reallocating the metrics, edits were made to the area of some 12-digit HUCs. For example, along the coast of California some 12-digit HUCs had stopped at the coastline in the WBD 2011 dataset but were extended into the ocean in the NHDPlus V2 dataset. Instead of reallocating the metrics using the total area of the NHDPlus V2 HUCs, the land area based on National Land Cover Database (NLCD) 2011 was used to update the land area values. This ensured the land area of the NHDPlus V2 HUCs roughly matched the land area of the WBD 2011 HUCs. This method helped avoid incorrectly distributing terrestrial metrics, such as including the new ocean-extended area in the denominator of values that were originally calculated using land-only area as the denominator, which would result in artificially lowering the values of per-unit area metrics in the ocean-extended HUCs. true Entity and Attribute Information Entity and Attribute Overview: A comprehensive list of metric creation steps is included in the Processing Steps. The grain data used are for grain only, not silage. When possible, 2007 census data was used. When 2007 census data was not available, 2007 survey data was used instead. County data was used first, then state data when county data was unavailable, then national data when state data was unavailable. CDL values were categorized as follows: Corn: 1, 225, 226, 237, 241. Barley: 21, 235, 237, 254, 233. Cotton: 2, 232, 238, 239. Durum wheat: 22, 230, 234. Oats: 28, 226, 240. Rye: 27. Rice: 3. Sorghum: 4, 234 235, 236. Spring Wheat: 23. Soybeans: 5, 26, 239, 240, 241, 254. Winter Wheat: 24, 26, 225, 236, 238. Double crops were counted once for each crop. The following conversion factors were used to convert crop yields to tons: 1 bu wheat: 0.03, 1 bu soybeans: 0.03, 1 bu corn (shelled): 0.028, 1 bu sorghum: 0.028, 1 bu barley: 0.024, 1 bu oats: 0.016, 1 bu rye: 0.028, 1 bale cotton: 0.24, 1 cwt rice: 0.05. ----------------- NASS data items used are: County: WHEAT, SPRING, DURUM - PRODUCTION, MEASURED IN BU; County: WHEAT, SPRING, DURUM - ACRES HARVESTED; State: WHEAT, SPRING, DURUM - PRODUCTION, MEASURED IN BU; State: WHEAT, SPRING, DURUM - ACRES HARVESTED; State: WHEAT, SPRING, DURUM - PRICE RECEIVED, MEASURED IN $ / BU (Survey); US: WHEAT, SPRING, DURUM - PRODUCTION, MEASURED IN BU; US: WHEAT, SPRING, DURUM - ACRES HARVESTED; US: WHEAT, SPRING, DURUM - PRICE RECEIVED, MEASURED IN $ / BU (Survey); County: WHEAT, SPRING, (EXCL DURUM) - PRODUCTION, MEASURED IN BU; County: WHEAT, SPRING, (EXCL DURUM) - ACRES HARVESTED; State: WHEAT, SPRING, (EXCL DURUM) - PRODUCTION, MEASURED IN BU; State: WHEAT, SPRING, (EXCL DURUM) - ACRES HARVESTED; State: WHEAT, SPRING, (EXCL DURUM) - PRICE RECEIVED, MEASURED IN $ / BU (Survey); US: WHEAT, SPRING, (EXCL DURUM) - PRODUCTION, MEASURED IN BU; US: WHEAT, SPRING, (EXCL DURUM) - ACRES HARVESTED; US: WHEAT, SPRING, (EXCL DURUM) - PRICE RECEIVED, MEASURED IN $ / BU (Survey); County: WHEAT, WINTER - PRODUCTION, MEASURED IN BU; County: WHEAT, WINTER - ACRES HARVESTED; State: WHEAT, WINTER - PRODUCTION, MEASURED IN BU; State: WHEAT, WINTER - ACRES HARVESTED; State: WHEAT, WINTER - PRICE RECEIVED, MEASURED IN $ / BU (Survey); US: WHEAT, WINTER - PRODUCTION, MEASURED IN BU; US: WHEAT, WINTER - ACRES HARVESTED; US: WHEAT, WINTER - PRICE RECEIVED, MEASURED IN $ / BU (Survey); County: BARLEY - PRODUCTION, MEASURED IN BU; County: BARLEY - ACRES HARVESTED; County: BARLEY - SALES, MEASURED IN $; State: BARLEY - PRODUCTION, MEASURED IN BU; State: BARLEY - ACRES HARVESTED; State: BARLEY - SALES, MEASURED IN $; US: BARLEY - PRODUCTION, MEASURED IN BU; US: BARLEY - ACRES HARVESTED; US: BARLEY - SALES, MEASURED IN $; County: COTTON - PRODUCTION, MEASURED IN BALES; County: COTTON - ACRES HARVESTED; County: COTTON, LINT & SEED - SALES, MEASURED IN $; State: COTTON - PRODUCTION, MEASURED IN BALES; State: COTTON - ACRES HARVESTED; State: COTTON, LINT & SEED - SALES, MEASURED IN $; US: COTTON - PRODUCTION, MEASURED IN BALES; US: COTTON - ACRES HARVESTED; US: COTTON, LINT & SEED - SALES, MEASURED IN $; County: OATS-PRODUCTION MEASURED IN BU; County: OATS-ACRES HARVESTED; State: OATS-PRODUCTION MEASURED IN BU; State: OATS-ACRES HARVESTED; State: OATS - PRICE RECEIVED MEASURED IN $ / BU (Survey); US: OATS-PRODUCTION MEASURED IN BU; US: OATS-ACRES HARVESTED; US: OATS - PRICE RECEIVED MEASURED IN $ / BU (Survey); County: RICE - PRODUCTION MEASURED IN CWT; County: RICE - ACRES HARVESTED; County: RICE - SALES MEASURED IN $; State: RICE - PRODUCTION MEASURED IN CWT; State: RICE - ACRES HARVESTED; State: RICE - SALES MEASURED IN $; US: RICE - PRODUCTION MEASURED IN CWT; US: RICE - ACRES HARVESTED; US: RICE - SALES MEASURED IN $; County: RYE - PRODUCTION, MEASURED IN BU; County: RYE - ACRES HARVESTED; State: RYE - PRODUCTION, MEASURED IN BU; State: RYE - ACRES HARVESTED; State: RYE - PRICE RECEIVED, MEASURED IN $ / BU (Survey); US: RYE - PRODUCTION, MEASURED IN BU; US: RYE - ACRES HARVESTED; US: RYE - PRICE RECEIVED, MEASURED IN $ / BU (Survey); County: SORGHUM, GRAIN - PRODUCTION, MEASURED IN BU; County: SORGHUM, GRAIN - ACRES HARVESTED; State: SORGHUM, GRAIN - PRODUCTION, MEASURED IN BU (Survey); State: SORGHUM, GRAIN - ACRES HARVESTED; State: SORGHUM, GRAIN - PRICE RECEIVED, MEASURED IN $ / CWT; US: SORGHUM, GRAIN - PRODUCTION, MEASURED IN BU; US: SORGHUM, GRAIN - ACRES HARVESTED; US: SORGHUM, GRAIN - PRICE RECEIVED, MEASURED IN $ / CWT (Survey); County: SOYBEANS - PRODUCTION, MEASURED IN BU; County: SOYBEANS - ACRES HARVESTED; County: SOYBEANS - SALES, MEASURED IN $; State: SOYBEANS - PRODUCTION, MEASURED IN BU; State: SOYBEANS - ACRES HARVESTED; State: SOYBEANS - SALES, MEASURED IN $; US: SOYBEANS - PRODUCTION, MEASURED IN BU; US: SOYBEANS - ACRES HARVESTED; US: SOYBEANS - SALES, MEASURED IN $; County: CORN, GRAIN - PRODUCTION, MEASURED IN BU; County: CORN, GRAIN - ACRES HARVESTED; State: CORN, GRAIN - PRODUCTION, MEASURED IN BU; State: CORN, GRAIN - ACRES HARVESTED; State: CORN, GRAIN - PRICE RECEIVED, MEASURED IN $ / BU (Survey); US: CORN, GRAIN - PRODUCTION, MEASURED IN BU; US: CORN, GRAIN - ACRES HARVESTED US: CORN, GRAIN - PRICE RECEIVED, MEASURED IN $ / BU (Survey). Entity and Attribute Detail Citation: https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets EnviroAtlas Coordinator U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, 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 distributor https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip download Download The URL providing direct access to the downloadable dataset. download https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip ESRI:ArcGIS API The endpoint of a web service to access the dataset (REST endpoint, WMS GetCapabilities URL, or a SOAP WSDL endpoint). webMapService https://www.epa.gov/enviroatlas/enviroatlas-data information Documentation URL for accessing related documents such as data dictionary, technical information about a dataset, developer documentation, etc. information https://www.epa.gov/enviroatlas information Home Page Alternative landing page used to redirect user to a contextual, Agency-hosted "homepage" for the Dataset or API information dataset Horizontal Positional Accuracy Report Data were collected using methods that have unknown accuracy (EPA National Geospatial Data Policy [NGDP] Accuracy Tier 10). For more information, please see EPA's NGDP at https://epa.gov/geospatial/policies.html Features represented have not been tested for completeness Features represented have not been tested for completeness Tests for integrity have not been performed. This lineage was generated by the FGDC CSDGM to 19139 transformation 1. Obtained the March 22, 2011 Watershed Boundary Dataset (WBD) 12-digit HUCs 2013-01-01T00:00:00 2. Obtained the 2010 Cropland Data Layer (CDL) from www.nass.usda.gov/research/Cropland/Release/index.htm 2013-01-01T00:00:00 3. From NASS, obtained county, state, and national data for each crop. Data obtained included acres harvested, production measured in bushels (or production measured in hundredweight for rice), and sales measured in dollars or dollars per bushel, depending on availability. When possible, census data for the year 2007 was used; census data generally includes more counties than survey data, providing finer-grained data. When census data was not available, survey data from 2007 was used instead. 2013-01-01T00:00:00 1. Converted acres to hectares (Acres * 0.404686) for each crop. 2013-01-01T00:00:00 2. Converted bushels, bales, or hundredweights to tons for each crop. The conversion factors used are described in the overview. 2013-01-01T00:00:00 3. Calculated tons per hectare (tons/hectare) for each crop. 2013-01-01T00:00:00 4. Calculated dollars per ton for each crop. 2013-01-01T00:00:00 5. Joined each CSV to a shapefile of counties, states, or the entire conterminous United States, depending on the geography used in the CSV. 2013-01-01T00:00:00 6. Used tabulate area to find the total area in square meters for every crop in the CDL by 12-digit HUC. Converted the areas for cotton and grains from square meters to hectares by dividing by 10,000. 2013-01-01T00:00:00 7. For each crop, created a raster showing tons per hectare by county where possible, by state where county data was not available, and showing the national average tons per hectare when state data was not available. 2013-01-01T00:00:00 a. First created rasters for each crop showing tons per hectare by county, state, and conterminous United States, respectively. 2013-01-01T00:00:00 b. For each crop, used map algebra to create a new raster showing tons per hectare by county, and tons per hectare by state when the county raster was null. 2013-01-01T00:00:00 c. Then created a new raster showing state or county values where available, and national values when the state/county raster was null. 2013-01-01T00:00:00 8. For each crop, used map algebra to create a new raster in which tons/hectare values are used wherever the CDL shows that crop occurring, and where all other cells are set to 0. 2013-01-01T00:00:00 9. For each crop, used ArcMap Zonal Statistics as Table tool to find the sum of the values of all cells for each 12-digit HUC. 2013-01-01T00:00:00 10. Multiplied by 0.09 to convert tons/hectare to tons per 30m cell, resulting in total tons per 12-digit HUC. 2013-01-01T00:00:00 11. For each crop, created a raster showing dollars per ton by county where possible, by state where county data was not available, and showing the national average dollars per ton when state data was not available. 2013-01-01T00:00:00 a. First created rasters for each crop showing dollars per ton by county, state, and conterminous United States, respectively. 2013-01-01T00:00:00 b. For each crop, used map algebra to create a new raster showing dollars per ton by county, and dollars per ton by state when the county raster was null. 2013-01-01T00:00:00 c. Then created a new raster showing state or county values where available and national values when the state/county raster was null. 2013-01-01T00:00:00 12. For each crop, used map algebra to create a new raster in which dollars/ton values are used wherever the CDL shows that crop occurring, and where all other cells are set to 0. 2013-01-01T00:00:00 13. Found total dollars per 12-digit HUC: 2013-01-01T00:00:00 a. Multiplied each crop's raster showing dollars/ton by the raster showing that crops tons/hectare, to produce a raster showing dollars/hectare. 2013-01-01T00:00:00 b. Set NoData to 0, and used zonal statistics as table to find the MEAN dollars/hectare for each 12-digit HUC, ignoring NoData values. 2013-01-01T00:00:00 14. Multiplied dollars per hectare to find the total dollar value for each crop by 12-digit HUC 2013-01-01T00:00:00 15. Summed the yields, dollar values, and hectares for all grains to find the total yield in tons, the total value in dollars, and the total hectares for all major grains by 12-digit HUC. 2013-01-01T00:00:00 16. Counted the number of major grains grown in each 12-digit HUC. 2013-01-01T00:00:00 17. Reallocated values from the original March 22 2011 WBD to the NHDPlus V2 WBD Snapshot, EnviroAtlas version for the Conterminous United States using area-weighted redistribution. 2015-04-06T00:00:00 unknown 2029-07-23 This metadata was automatically generated from the FGDC Content Standard for Digital Geospatial Metadata standard (version FGDC-STD-001-1998) using the 2024-02-09T11:11:00 version of the FGDC CSDGM to ISO 19139 transform. EnviroAtlas Coordinator U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, 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