This data set consists of general soil association units. It was developed by the National Cooperative Soil Survey and supersedes the State Soil Geographic (STATSGO) data set published in 1994. It consists of a broad based inventory of soils and nonsoil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The data set was created by generalizing more detailed soil survey maps. Where more detailed soil survey maps were not available, data on geology, topography, vegetation, and climate were assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas were studied, and the probable classification and extent of the soils were determined.

Map unit composition was determined by transecting or sampling areas on the more detailed maps and expanding the data statistically to characterize the whole map unit.

This data set consists of georeferenced vector digital data and tabular digital data. The map data were collected in 1-by 2-degree topographic quadrangle units and merged into a seamless national data set. It is distributed in state/territory and national extents. The soil map units are linked to attributes in the National Soil Information System data base which gives the proportionate extent of the component soils and their properties.

MnGeo adapted the NRCS metadata record to create this record.

The gridded National Soil Survey Geographic Database (gNATSGO) is a USDA-NRCS (Natural Resources Conservation Service) Soil & Plant Science Division (SPSD) composite ESRI file geodatabase that provides complete coverage of the best available soils information for all areas of the United States and Island Territories. It was created by combining data from the Soil Survey Geographic Database (SSURGO), State Soil Geographic Database (STATSGO2), and Raster Soil Survey Databases (RSS) into a single seamless ESRI file geodatabase. The gNATSGO database contains a 10-meter raster of the soil map units and 70 related tables of soil properties and interpretations. It is designed to work with the SPSD gSSURGO ArcTools. Users can create full coverage thematic maps and grids of soil properties and interpretations for large geographic areas, such as the extent of a State or the conterminous United States. SSURGO is the SPSD flagship soils database that has over 100 years of field-validated detailed soil mapping data. SSURGO contains soils information for more than 90 percent of the United States and island territories, but unmapped land remains. The current completion status of SSURGO mapping is displayed (PDF). STATSGO2 is a general soil map that has soils data for all of the United States and island territories, but the data is not as detailed as the SSURGO data. The Raster Soil Surveys (RSSs) are the next generation soil survey databases developed using advanced digital soil mapping methods. The first version of gNATSGO was created in 2019. It is composed primarily of SSURGO data, but STATSGO2 data was used to fill in the gaps. Three RSSs have been published as of 2019. These were merged into the gNATSGO after combining the SSURGO and STATSGO2 data. The extent of RSS is expected to increase in the coming years. Resources in this dataset:Resource Title: Website Pointer for Gridded National Soil Survey Geographic Database (gNATSGO). File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd1464625 The gNATSGO website provides an Overview slide presentation, Download links for gNATSGO databases (CONUS or States), ArcTools, Metadata, Technical Information, and Recommended Data Citations.

Soil surveys are being completed and published in printed form on an ongoing schedule. As time passes, the data in printed surveys can become out of date. The up-to-date official information about the soils in a given area is now available in electronic form for each of the Soil Survey Areas. Web Soil Survey provides interactive access to the most current information for a user-defined Area of Interest. Click the following link to go to the Web Soil Survey home page: Web Soil Survey Home Page. If spatial soil data are available for your Area of Interest, Web Soil Survey also generates soil maps. Web Soil Survey also provides the capability to download official Soil Survey Geographic Database (SSURGO) soil data for whole soil survey areas. Generalized soil data (State Soil Geographic Database or STATSGO2) can also be downloaded in individual state datasets or the whole U.S.Information about how to use Web Soil Survey, including a link to this Getting Started document, is available on the Web Soil Survey home page. Look on the right side of the home page in the I Want To... and I Want Help With... sections.Web Soil Survey Web Soil Survey links with additional documents Other Documents to Reference:Web Soil Survey BrochureWeb Soil Survey Brochure in SpanishGetting Started in Web Soil SurveyUsing Web Soil Survey in 4 Basic StepsHow to Use Web Soil Survey 3.0Guide on downloading SSURGO from Web Soil SurveyWeb Soil Survey Tips and ShortcutsWeb Soil Survey Known Problems and WorkaroundsWeb Soil Survey Frequently Asked QuestionsWeb Soil Survey Help OnlineWeb Soil Survey Accessibility FeaturesDefining an AOI for Web Soil Survey on a Mobile DeviceWeb Soil Survey Adding a Multi-part AOI featureUsing Google Earth Pro to create multiple AOIs for Web Soil SurveyWeb Soil Survey Version Release History DocumentsWeb Soil Survey Guide to Maps, Reports, and TablesWeb Soil Survey - Soil Data Explorer TabUsing Web Soil Survey YouTube Videos

This digital data release consists of an ARC/INFO grid and associated INFO tables. The grid is called MUID and has STATSGO (U.S. Department of Agriculture, 1994) soil mapping unit identifiers gridded on a 1-kilometer resolution for the conterminous United States. The INFO tables have soil characteristics data in them. The ITEMS in the tables are weighted average values for several soil characteristics in the STATSGO data base. The weighted average values were computed by aggregating the soil layers and components in the data base. The INFO tables are called MUID.LAYER, MUID.COMP, MUID.KFACT, MUID.TFACT, and MUID.WEG. The INFO tables can be related or joined to the MUID grid or to individual State coverages (grids or polygons) of MUIDs. Joining or relating the tables to the MUID grid creates 1-kilometer resolution grids of the soil characteristics for the conterminous United States. The soil characteristics in MUID.LAYER are permeability (PERML and PERMH in the STATSGO data base), available water capacity (AWCL and AWCH), bulk density (BDL and BDH), and organic matter (OML and OMH). The soil characteristics in MUID.COMP are slope (SLOPEL and SLOPEH), depth to seasonally high water table (WTDEPL and WTDEPH), and depth to bedrock (ROCKDEPL and ROCKDEPH). The soil characteristic in MUID.KFACT is the soil erodibility factor (KFACT), the soil characteristic in MUID.TFACT is the soil loss tolerance factor (TFACT), and the soil characteristic in MUID.WEG is the wind erosion group (WEG). The MUID grid and INFO tables were created with a set of arc macro language (aml) and Fortran programs. Send electronic mail to dwolock@usgs.gov to obtain copies of the computer code. (See Procedures_Used.)

A soil temperature and soil moisture simulation model developed in 2011 in response to a USDA-NRCS need to better understand soil climate in soil survey, the Java Newhall Simulation Model or jNSM is an update to a traditional soil climate simulation model called Newhall Simulation Model (NSM) by Franklin Newhall. The jNSM application takes batch run input in the form of a CSV file (easily created from standard spreadsheets), and also allows interactive input of data comprising a single model run. Output products are displayed on screen and can be saved and printed in PDF format. Output reports include soil moisture and temperature regime classification, biological window calendars and precipitation/potential evapo-transpiration climographs, plus a summary of model inputs and user information. The jNSM software is a mesoscale model that is appropriate for use in regional geospatial analyses that support the MLRA update of published digital soil geographic databases (SSURGO/STATSGO2). This software can be used with monthly, serially complete records from weather stations, Soil Climate Analysis Network (SCAN) stations, and local soil climate monitoring sensors. Such data sources can be used with jNSM to refine soil moisture and temperature regime boundaries to assist in correlation, map soil and temperature regimes with existing vegetation, study orographic and "rain shadow" effects in the soil landscape, and study the change of soil climate through time to help formulate climate change adaptive strategies. The jNSM version 1.5.1 application is a product of the National Cooperative Soil Survey partnership of the Pennsylvania State University (Center for Environmental Informatics) and the USDA-NRCS (National Soil Survey Center - Geospatial Research Unit). Resources in this dataset:Resource Title: Java Newhall Simulation Model (jNSM). File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/class/?cid=nrcs142p2_053559 A soil temperature and soil moisture simulation model developed in 2011. User Guide; Download; Sample Input Weather Station Datasets (xlsx, CSV); Sample output(XML); Link to Useful Climate Data and Information Sources.

This EnviroAtlas national dataset shows the average annual sediment yield in metric tons per hectare*10,000 to the nearest waterbody by each pixel for the conterminous United States for 2011 with existing land use / land cover. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). 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).