SoilWeb applications can be used to access and explore USDA-NCSS detailed soil survey maps and data (SSURGO) for most of the United States, as well as maps and data outside of Web Soil Survey. Developed by the University of California. Available interface apps:

SoilWeb SoilWeb Earth SEE: Soil Series Extent Explorer Soil Properties Soil Agricultural Groundwater Banking Index (SAGBI) Resources in this dataset:Resource Title: Website Pointer for SoilWeb Apps. File Name: Web Page, url: https://casoilresource.lawr.ucdavis.edu/soilweb-apps/ SoilWeb products that can be used to access USDA-NCSS detailed soil survey data (SSURGO) for most of the United States.

Get consolidated soil data mapped on a county basis in a digitally stitched and standardized product. This soil survey data was mapped by a number of soil surveyors from the 1920s to the 1990s. The product incorporates soil information from a variety of map scales. The project has brought the individual county or regional municipality surveys together to reveal inconsistencies in soil data across county boundaries. The soil complex database contains other descriptive information including: * slope class * Canada Land Inventory (CLI) ranking * stoniness * drainage class * texture

These Soil Mapping Data Packages include 1. a Soil Map dataset which includes the equivalents to Soil Project Boundaries, Soil Survey Spatial View mapping polygons with attributes from the Soil Name and Layer Files, plus + A Soil Site dataset which includes soil pit site information and detailed soil pit descriptions and any associated lab analyses, and + The Soil Data Dictionary which documents the fields and allowable codes within the data. The Soil Map geodatabase contains the 'best available' data ranging from 1:20,000 scale to 1:250,000 scale with overlapping data removed. The choice of the datasets that remain is based on connectivity to the soil attributes (soil name and layer files), map scale and survey date. (Note: the BC Soil Landscapes of Canada (BCSLC) 1:1,000,000 data has not been included in the Soil_Map or SIFT, but is available from: CANSIS. (A complete soils data package with overlapping soil survey mapping and BCSLC is available on request. Note that the soil survey data with attributes can also be viewed interactively in the [Soil Information Finder Tool](The Soil Map dataset is also available for interactive map viewing or as KMZs from the Soil Information Finder Tool website.

This polygon shapefile contains data derived from the Soil Survey Geographic Database (SSURGO) to show the area of Tehama County, California. SSURGO depicts information about the kinds and distribution ofsoils on the landscape. The soil map and data used in the SSURGOproduct were prepared by soil scientists as part of the NationalCooperative Soil Survey. This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

The data were derived from scanned soil maps. Attributes include a soil number (2-180), corresponding to runoff coefficient values in a Hydrology Manual, provided by the Los Angeles County Department of Public Works, Water Resources Division.Purpose: For use in DPW’s Modified Rational Method Hydrology Model.Supplemental Information:Stormwater Engineering is a Division of the Los Angeles County Department of Public Works. Please visit their website for posted publications, including the above mentioned Hydrology Manual.

This polygon shapefile is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps and by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information.This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a 7.5 minute quadrangle format and include a detailed, field verified inventory of soils and nonsoil areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the Map Unit Interpretations Record relational database, which gives the proportionate extent of the component soils and their propertiesSSURGO depicts information about the kinds and distribution of soils on the landscape. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey.Read More

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The Nova Scotia Detailed Soil Survey dataset series at a scale of 1:50 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF). Together, these Version 1 datasets describe the spatial distribution of soils and associated landscapes in Pictou County.

A soil survey is an inventory of soils and their spatial distribution over a landscape. Soil survey reports contain two parts. The first part is a soil map or series of maps at a particular scale with coding for each soil. Soil survey reports also include a supporting document that contains background information such as how the soil survey was conducted, and an explanation of interpretive criteria and a summary of the area occupied by various soil types. The detailed soil surveys identify more of the variation in soil types across smaller landscapes, as compared to Generalized (1:100 000, i.e. provincial overview) and Reconnaissance or General (1:125 000, or 1/2 inch to 1 mile.) soil surveys. Detailed soil survey information is much more accurate and reliable for making decisions at the farm-level. Soil surveys have been published for most of the agricultural areas, and many surrounding areas, across Canada. Data from these surveys comprise the most detailed soil inventory information in the National Soil Database (NSDB). Version 3 was created by Agriculture and Agri-Food Canada in the 2010's by amalgamating version 2 data. It introduced some minor refinements to the version 2 data structure to provide closer alignment with the Soil Landscapes of Canada data structure.

(Link to Metadata) This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties. Survey Dates - https://www.nrcs.usda.gov/wps/portal/nrcs/surveylist/soils/survey/state/?stateId=VT

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This data set has certified soil survey attributes corresponding to the National Soil Information System (NASIS) database that represents a portion of soil survey geospatial data for progressive archiving and distribution. This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a plan metric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

SoilWeb AppsSoilWebSEE: Soil Series Extent ExplorerSDE: Soil Series Data ExplorerSoil PropertiesSoilWeb EarthSoilWeb products can be used to access USDA-NCSS detailed soil survey data (SSURGO) for most of the United States. This interactive map allows you to explore a variety of soil properties throughout the continental United States. The data shown here were obtained by aggregating current USDA-NCSS soil survey data (SSURGO back-filled with STATSGO where SSURGO is not available) within 800m grid cells. This data aggregation technique results in maps that may not match the original data at any given point, and is intended to depict regional trends in soil properties at the statewide scale.The source grids used to create the maps for each of these properties are available on the Download Page.Using the App:Select a property from one of the four categories on the Properties tab.Click the icon next to the currently active property to learn about the property and its data aggregation.Click the map to view specific values at that location.Adjust the map layer transparency by using the slider bar at the top left of the map pane.Use the Location tab to zoom to specific areas of interest.Right click (long press on mobile) the map to create a web link that bookmarks the current property and map location.This app was developed by the California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service. Please use the following citation for this website and gridded data products:Walkinshaw, Mike, A.T. O'Geen, D.E. Beaudette. "Soil Properties." California Soil Resource Lab, 1 Oct. 2022, casoilresource.lawr.ucdavis.edu/soil-properties/.

Cropland Index

The Cropland Index evaluates lands used to produce crops based on the following input datasets: Revised Storie Index, California Important Farmland data, Electrical Conductivity (EC), and Sodium Adsorption Ratio (SAR). Together, these input layers were used in a suitability model to generate this raster. High values are associated with better Croplands

Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate that shows four soil map sections of soil maps that were being prepared by the Experimental Farms Service of the Federal Department of Agriculture in cooperation with the Provincial Departments of Agriculture and the Departments of Soils at Canadian universities in the 1950s. Such maps show more detail than can be shown on a general soils regions map.

Boundaries of various soil types within San Jose, CA.

Soil Survey polygons contain soils spatial and attribute information utilized by the Ministry of Environment online Soil Information Finder Tool (SIFT). The information pertains to soil survey data in the Province of British Columbia, as well as links to a variety of reports and maps. Polygons related to soil surveys can be made up of a complex of up to 3 components representing 3 different soil types. These components are aspatial and represent the amount in the polygon indicated by the PERCENT_x field for the component x. Each unique soil type has a soil name and generalized attributes such as drainage, texture and coarse fragment percent. The Soil Name and Layer Files can be joined and related to each of the 3 components of the Soil Survey Spatial View polygons using the SoilSymbol field in the name and layer tables and the SOILSYM_x fields in the Soil Survey Spatial View.

This digital dataset contains the soil data for the updated Central Valley Hydrologic Model (CVHM2). The soil data is based on California Department of Water Resource’s C2VSim’s fine grid model soil curve number data set (C2VSimFG Version 1.0 - Datasets; CNRA, 2011). These values were originally obtained from the U.S. Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS) Soil Survey Geographic Database (SSURGO) soil map of the State of California (USDA, 2004), and then an area-weighted average value for each hydrologic soil group within each subregion was calculated to the C2VSim element. Curve number values obtained from SSURGO were converted for use in C2VSimFG. To translate the curve number from the C2VSim grid to the CVHM2 grid, the curve number from the C2VSim that covered the largest area of a CVHM2 cell was used as zone number. There were 8 unique curve numbers in C2VSimFG. Then each of these numbers were given a different zone number for each of t ...

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