67 datasets found
  1. SoilWeb

    • agdatacommons.nal.usda.gov
    bin
    Updated Dec 18, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    University of California, Davis, California Soil Resource Lab; University of California, Division of Agriculture and Natural Resources; Natural Resources Conservation Service (2023). SoilWeb [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/SoilWeb/24853287
    Explore at:
    binAvailable download formats
    Dataset updated
    Dec 18, 2023
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Natural Resources Conservation Servicehttp://www.nrcs.usda.gov/
    Authors
    University of California, Davis, California Soil Resource Lab; University of California, Division of Agriculture and Natural Resources; Natural Resources Conservation Service
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    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.

  2. G

    Soil Mapping Data Packages

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    fgdb/gdb, html, shp
    Updated Mar 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of British Columbia (2025). Soil Mapping Data Packages [Dataset]. https://open.canada.ca/data/en/dataset/4e205b8d-f259-44a2-89ab-4d02d287136f
    Explore at:
    html, shp, fgdb/gdbAvailable download formats
    Dataset updated
    Mar 5, 2025
    Dataset provided by
    Government of British Columbia
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    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.

  3. Soil Survey Maps

    • datasets.ai
    • ouvert.canada.ca
    • +2more
    22, 33
    Updated Aug 8, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Natural Resources Canada | Ressources naturelles Canada (2024). Soil Survey Maps [Dataset]. https://datasets.ai/datasets/88bbfdae-ebb5-5f0a-ac00-fca53a5cab7a
    Explore at:
    33, 22Available download formats
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    Ministry of Natural Resources of Canadahttps://www.nrcan.gc.ca/
    Authors
    Natural Resources Canada | Ressources naturelles Canada
    Description

    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.

  4. g

    Soil Survey Manitoba

    • geoportal.gov.mb.ca
    • catalogue.arctic-sdi.org
    • +2more
    Updated Mar 8, 2012
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Manitoba Maps (2012). Soil Survey Manitoba [Dataset]. https://geoportal.gov.mb.ca/datasets/soil-survey-manitoba/explore
    Explore at:
    Dataset updated
    Mar 8, 2012
    Dataset authored and provided by
    Manitoba Maps
    Area covered
    Description

    Soil is essential to human survival. We rely on it for the production of food, fibre, timber and energy crops. Together with climate, the soil determines which crops can be grown, where and how much they will yield. In addition to supporting our agricultural needs, we rely on the soil to regulate the flow of rainwater and to act as a filter for drinking water. With such a tremendously important role, it is imperative that we manage our soils for their long-term productivity, sustainability and health.

    The first step in sustainable soil management is ensuring that the soil will support the land use activity. For example, only the better agricultural soils in Manitoba will support grain and vegetable production, while more marginal agricultural soils will support forage and pasture-based production. For this reason, agricultural development should only occur in areas where the soil resource will support the agricultural activity. The only way to do this is to understand the soil resource that is available. Soil survey information is the key to understanding the soil resource.

    Soil survey is an inventory of the properties of the soil (such as texture, internal drainage, parent material, depth to groundwater, topography, degree of erosion, stoniness, pH and salinity) and their spatial distribution over a landscape. Soils are grouped into similar types and their boundaries are delineated on a map. Each soil type has a unique set of physical, chemical and mineralogical characteristics and has similar reactions to use and management. The information assembled in a soil survey can be used to predict or estimate the potentials and limitations of the soils’ behaviour under different uses. As such, soil surveys can be used to plan the development of new lands or to evaluate the conversion of land to new uses. Soil surveys also provide insight into the kind and intensity of land management that will be needed.

    The survey scale of soils data for Manitoba ranges from 1:5,000 to 1:126,720, as identified in the 'SCALE' column.1:5,000. The survey objective at this scale is to collect high precision field scale data and it is mostly used in research plots and other highly intensive areas. It is also applicable to agricultural production and planning such as precision farming, agriculture capability, engineering, recreation, potato/irrigation suitability and productivity indices. Profile descriptions and samples are collected for all soils. At least one soil inspection exists per delineation and the minimum size delineation is 0.25 acres. The soil taxonomy is generally Phases of Soil Series. The mapping scale is 1:5,000 or 12.7 in/ mile.

    This file also contains soils data that has been collected in Manitoba at a survey intensity level of the second order. This includes data collected at a scale of 1:20,000. The survey objective at this scale is to collect field scale data and it is mostly used in agricultural production and planning such as precision farming, agriculture capability, engineering, recreation, potato/irrigation suitability and productivity indices. Soil pits are generally about 200 metres apart and are dug along transects which are about 500 metres apart. This translates to about 32 inspections sites per section (640 acres). The soils in each delineation are identified by field observations and remotely sensed data. Boundaries are verified at closely spaced intervals. Profile descriptions are collected for all major named soils and 10 inspection sites/section and 2 to 3 horizons per site require lab analyses. At least one soil inspection exists in over 90% of delineations and the minimum size delineation is generally about 4 acres at 1:20,000. The soil taxonomy is generally Phases of Soil Series. The mapping scale is 1:20,000 or 3.2 inch/ mile.

    This file also contains data that has been collected at the third order. This includes scales of 1:40,000 and 1:50,000. The survey objective at this scale is to collect field scale or regional data. If the topography is relatively uniform, appropriate interpretations include agriculture capability, engineering, recreation, potato/irrigation suitability and productivity indices. Soil pits are generally dug adjacent to section perimeters. This translates to about 16 inspection sites per section (640 acres). Soil boundaries are plotted by observation and remote sensed data. Profile descriptions exist for all major named soils and 2 inspection sites/section and 2 to 3 horizons per site require lab analyses. At least one soil inspection exists in 60-80% of delineations and the minimum size delineation is generally in the 10 to 20 acre range. The soil taxonomy is generally Series or Phases of Soil Series. The mapping scale is 1:40,000 or 2 inch/ mile; 1:50,000 or 1.5 inch/mile.

    This file also contains soils data that has been collected at a survey intensity level of the fourth order. This includes scales of 1:63,360, 1:100,000, 1:125,000, and 1:126,720. The survey objective is to collect provincial data and to provide general soil information about land management and land use. The number of soil pits dug averaged to about 6 inspections per section (640 acres). Soil boundaries are plotted by interpretation of remotely sensed data and few inspections exist. Profile descriptions are collected for all major named soils. At least one soil inspection exists in 30-60% of delineations and the minimum size delineation is 40 acres (1:63,360), 100 acres (1:100,000), 156 acres (126,700) and 623 acres (250,000). The soil taxonomy is generally phases of Subgroup or Association.

    As of 2022, soil survey field work and reports are still currently being collected in certain areas where detailed information does not exist. This file will be updated as more information becomes available. Typically, this is conducted on an rural municipality basis.

    In some areas of Manitoba, more detailed and historical information exists than what is contained in this file. However, at this time, some of this information is only available in a hard copy format. This file will be updated as more of this information is transferred into a GIS format.

    This file has an organizational framework similar to the original SoilAID digital files and a portion of this geographic extent was originally available on the Manitoba Land Initiative (MLI) website.

    Domains and coded values have also been integrated into the geodatabase files. This allows the user to view attribute information in either an abbreviated or a more descriptive manner. Choosing to display the description of the coded values allows the user to view the expanded information associated with the attribute value (reducing the need to constantly refer to the descriptions within the metadata). To change these settings in ArcCatalog, go to Customize --> ArcCatalog Options --> Tables tab --> check or uncheck 'Display coded value domain and subtype descriptions'. To change these settings in ArcMap, go to Customize --> ArcMapOptions --> Tables tab --> check or uncheck 'Display coded value domain and subtype descriptions'. This setting can also be changed by opening the attribute table, then Table Options (top left) --> Appearance --> check or uncheck 'Display coded value domain and subtype descriptions'. The file also contains field aliases, which can also be turned on or off under Table Options.

    The file - "Manitoba Municipal Boundaries" - from Manitoba Community Planning Services was used as one of the base administrative references for the soil polygon layer.

    Also used as references were the hydrological features mapped in the 1:20,000 and 1:50,000 NTS topographical layers (National Topographic System of Canada). Typically this would relate to larger hydrological features such as those designated as perennial lakes and perennial rivers.

    This same capability is available in ArcGIS Pro.

    For more info:

    https://www.gov.mb.ca/agriculture/soil/soil-survey/importance-of-soil-survey-mb.html#

  5. a

    Soil Type

    • gisdata-csj.opendata.arcgis.com
    • data.sanjoseca.gov
    Updated Aug 27, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of San José (2020). Soil Type [Dataset]. https://gisdata-csj.opendata.arcgis.com/datasets/CSJ::soil-type/about
    Explore at:
    Dataset updated
    Aug 27, 2020
    Dataset authored and provided by
    City of San José
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Boundaries of various soil types within San Jose, CA.Data is published on Mondays on a weekly basis.

  6. v

    Soil Survey: Russian River Basin, California, 1999

    • gis.lib.virginia.edu
    Updated Mar 17, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Circuit Rider Productions (2016). Soil Survey: Russian River Basin, California, 1999 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-wd090fd6193
    Explore at:
    Dataset updated
    Mar 17, 2016
    Authors
    Circuit Rider Productions
    Time period covered
    1999
    Area covered
    Russian River, California, California, California
    Description

    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

  7. a

    Soil Properties

    • ngda-soils-geoplatform.hub.arcgis.com
    Updated Aug 4, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    alena.stephens (2023). Soil Properties [Dataset]. https://ngda-soils-geoplatform.hub.arcgis.com/items/b55a77b208344710b198cd9f4753a7c8
    Explore at:
    Dataset updated
    Aug 4, 2023
    Dataset authored and provided by
    alena.stephens
    Description

    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/.

  8. w

    Soil Survey Geographic (SSURGO) - Kinds and Distribution of Soils

    • data.wu.ac.at
    zip
    Updated Apr 10, 2015
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Natural Resource Agency (2015). Soil Survey Geographic (SSURGO) - Kinds and Distribution of Soils [Dataset]. https://data.wu.ac.at/schema/data_gov/ZjM3Zjk0MWItZGI4Yi00Nzk4LThmMzQtNzMwMDIyZDNlYjAy
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 10, 2015
    Dataset provided by
    California Natural Resource Agency
    Area covered
    9d7e8da55d8e4a1d1216443c2e7c3a57b614a942
    Description

    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.

  9. s

    Soils Survey: Santa Cruz County, California, 2015

    • searchworks.stanford.edu
    zip
    Updated May 4, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2021). Soils Survey: Santa Cruz County, California, 2015 [Dataset]. https://searchworks.stanford.edu/view/kf833hv3826
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 4, 2021
    Area covered
    Santa Cruz County, California
    Description

    This polygon shapefile contains soil type data for the County of Santa Cruz, California. These data were provided by National Resource Conservation Service (NRCS) from the Web Soil Survey (WSS), which soil data and information produced by the National Cooperative Soil Survey. Soil surveys can be used for general farm, local, and wider area planning, such as that required for County evaluation of Land Use and Development activities. This layer is part of a collection of GIS data created for Santa Cruz County, California.

  10. Crop Index Model

    • catalog.data.gov
    • data.ca.gov
    • +5more
    Updated Nov 27, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Energy Commission (2024). Crop Index Model [Dataset]. https://catalog.data.gov/dataset/crop-index-model-9beba
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Description

    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 CroplandsCalifornia Important Farmland data – statistical data used for analyzing impacts on California’s agricultural resources from the Farmland Mapping and Monitoring Program. Agricultural land is rated according to soil quality and irrigation status. The maps are updated every two years (on even numbered years) with the use of a computer mapping system, aerial imagery, public review, and field reconnaissance. Cropland Index Mask - This is a constructed data set used to define the model domain. Its footprint is defined by combining the extent of the California Important Farmland data (2018) classifications listed above and the area defined by California Statewide Crop Mapping for the state of California.Prime Farmland – farmland with the best combination of physical and chemical features able to sustain long term agricultural production. This land has the soil quality, growing season, and moisture supply needed to produce sustained high yields. Land must have been used for irrigated agricultural production at some time during the four years prior to the mapping date.Farmland of Statewide Importance – farmland similar to Prime Farmland but with minor shortcomings, such as greater slopes or less ability to store soil moisture. Land must have been used for irrigated agricultural production at some time during the four years prior to the mapping date. Unique Farmland – farmland of lesser quality soils used for the production of the state’s leading agricultural crops. This land is usually irrigated but may include Non irrigated orchards or vineyards as found in some climatic zones in California. Land must have been cropped at some time during the four years prior to the mapping date. Gridded Soil Survey Geographic Database (gSSURGO) – a database containing information about soil as collected by the National Cooperative Soil Survey over the course of a century. The information can be displayed in tables or as maps and is available for most areas in the United States and the Territories, Commonwealths, and Island Nations served by the USDA-NRCS. The information was gathered by walking over the land and observing the soil. Many soil samples were analyzed in laboratories. California Revised Storie Index - is a soil rating based on soil properties that govern a soil’s potential for cultivated agriculture in California. The Revised Storie Index assesses the productivity of a soil from the following four characteristics: Factor A, degree of soil profile development; factor B, texture of the surface layer; factor C, slope; and factor X, manageable features, including drainage, microrelief, fertility, acidity, erosion, and salt content. A score ranging from 0 to 100 percent is determined for each factor, and the scores are then multiplied together to derive an index rating.Electrical Conductivity - is the electrolytic conductivity of an extract from saturated soil paste, expressed as Deci siemens per meter at 25 degrees C. Electrical conductivity is a measure of the concentration of water-soluble salts in soils. It is used to indicate saline soils. High concentrations of neutral salts, such as sodium chloride and sodium sulfate, may interfere with the adsorption of water by plants because the osmotic pressure in the soil solution is nearly as high as or higher than that in the plant cells. Sodium Adsorption Ratio - is a measure of the amount of sodium (Na) relative to calcium (Ca) and magnesium (Mg) in the water extract from saturated soil paste. It is the ratio of the Na concentration divided by the square root of one-half of the Ca + Mg concentration. Soils that have SAR values of 13 or more may be characterized by an increased dispersion of organic matter and clay particles, reduced saturated hydraulic conductivity (Ksat) and aeration, and a general degradation of soil structure.

  11. l

    Soil - Hydrological Group

    • visionzero.geohub.lacity.org
    • geohub.lacity.org
    • +1more
    Updated Mar 5, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    LA Sanitation (2021). Soil - Hydrological Group [Dataset]. https://visionzero.geohub.lacity.org/datasets/labos::soil-hydrological-group
    Explore at:
    Dataset updated
    Mar 5, 2021
    Dataset authored and provided by
    LA Sanitation
    Area covered
    Description

    From gridded National Soil Survey Geographic Database (gNATSGO). Used Soil Data Development Toolbox > gSSURGO Mapping Toolset > Create Soil Map Tool, Exported Data Layer to TIFF, and Used Spatial Analyst > Reclass > Lookup Tool to create this data layer and display the HYDROLGRP_. Follow instructions in "How to Create an On-Demand Soil Property or Interpretation Grid from gNATSGO". Shows sSSURGO data for California. A - sand, loamy sand, sandy loam B - loam, silt, loam or silt C - sandy clay loam D - clay loam, silty clay loam, sandy clay, silty clay, or clay The gridded National Soil Survey Geographic Database (gNATSGO) is a USDA-NRCS Soil & Plant Science Division (SPSD) composite database 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 state-wide gNATSGO databases contain 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. Please note that for the CONUS database, only a 30 meter raster is included. 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. Click here for the current completion status of SSURGO mapping. 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. https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd1464625) Use the Create A Soil Map ArcTool from the gSSURGO Mapping Toolset in the Soil Data Development Toolbox to make a TIFF data layer (Instructions: https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd1464625#grid). Make a Hydrological Soils Group Map, and display it using the Hydrolgrp_ attribute. NotesThe SPSD refreshes all published soil databases annually. gNATSGO will be included in the refresh cycle, which will provide a new up-to-date version of the database each year. gNATSGO is an ESRI file geodatabase. The soil map units are delivered only as a 10-meter raster version and are uniquely identified by the mukey, which is included in the attribute table. No vectorized version of the soil map units is included in gNATSGO. The database has 70 tables that contain soil attributes, and relationship classes are built into the database to define relationships among tables. The raster can be joined to the Mapunit and Muaggatt tables in the MUKEY field. The database contains a feature class called SAPOLYGON. The “source” field in this feature class indicates whether the data was derived from SSURGO, STATSGO2, or an RSS. A gNATSGO database was created for the conterminous United States and for each state or island territory that does not have complete coverage in SSURGO or has a published RSS. If you encounter an ArcMap error when working with a gNATSGO dataset that reads “The number of unique values exceeds the limit” try increasing the maximum number of unique values to render in your Raster ArcMap Options. Specific instructions can be obtained here: https://support.esri.com/en/technical-article/000010117

  12. Soil survey

    • open.canada.ca
    • data.ontario.ca
    • +2more
    html
    Updated Mar 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Ontario (2025). Soil survey [Dataset]. https://open.canada.ca/data/dataset/538bc077-334c-41a7-8a5e-283dd06efd32
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Mar 19, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    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

  13. Soil Survey Complex

    • namp-repository-gbaybiosphere.hub.arcgis.com
    • geohub.lio.gov.on.ca
    • +2more
    Updated Nov 20, 2015
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    OMAFRA (2015). Soil Survey Complex [Dataset]. https://namp-repository-gbaybiosphere.hub.arcgis.com/items/a0eec61f72334bf7b4fc85d2f67456bd
    Explore at:
    Dataset updated
    Nov 20, 2015
    Dataset provided by
    Ministries of Agriculture, Food and Agribusiness and Rural Affairshttps://www.ontario.ca/page/ministry-agriculture-food-and-rural-affairs
    Authors
    OMAFRA
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Description

    Ontario Ministry of Agriculture, Food, and Rural Affairs and Agriculture and Agri-Food Canada, in cooperation with the Ministry of Natural Resources, have compiled a geo-spatial soils database for Southern Ontario. The database consolidated the existing digital soil data mapped on a county basis into a digitally stitched and standardized product. The soil survey data was mapped by a number of soil surveyors from the 1920s to the 1990s. The Soil Ontario product incorporates soil information from a variety of map scales. The project has brought the individual county or regional municipality surveys together in a digitally stitched database which reveals inconsistencies in soil data across county boundaries. Using GIS and NRVIS (Natural Resource Values Information System) a GIS Specialist matched the soil polygons that crossed boundaries using the best available resources.Additional Metadata Location: Agriculture and AgriFood Canada - Canada Soils Information SystemAdditional Metadata:Canadian Soil Information Service Additional DocumentationSoil Survey Complex - Data Description (PDF)Soil Survey Complex - Documentation (Word)StatusOn going: data is being continually updated Maintenance and Update Frequency As needed: data is updated as deemed necessary Contact Daniel Saurette, omafra.gis@ontario.ca

  14. d

    Preliminary soil-slip susceptibility maps, southwestern California

    • search.dataone.org
    • data.doi.gov
    Updated Oct 29, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Douglas M. Morton; Rachel M.H. Alvarez; Russell H. Campbell (2016). Preliminary soil-slip susceptibility maps, southwestern California [Dataset]. https://search.dataone.org/view/3a90000e-e764-4779-ac1c-6d61b120a095
    Explore at:
    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Douglas M. Morton; Rachel M.H. Alvarez; Russell H. Campbell
    Area covered
    Variables measured
    suscode
    Description

    This data set maps the soil-slip susceptibility for several areas in southwestern California. Created using Environmental Systems Research Institute's ARC/INFO software, the data base consists of raster maps containing grid cells coded with soil- slip susceptibility values. In addition, the data set includes the following graphic and text products: (1) postscript graphic plot files containing the soil-slip susceptibility map, topography, cultural data, and a key of the colored map units, and (2) PDF and text files of the Readme (including the metadata file as an appendix) and accompanying text, and a PDF file of the plot files. Intense winter rains commonly generated debris flows in upland areas of southwestern California. These debris flows initiate as small landslides referred to as soil slips. Most of the soil slips mobilize into debris flows that travel down slope at varying speeds and distances. The debris flows can be a serious hazard to people and structures in their paths. The soil-slip susceptibility maps identify those natural slopes most likely to be the sites of soil slips during periods of intense winter rainfall. The maps were largely derived by extrapolation of debris-flow inventory data collected from selected areas of southwestern California. Based on spatial analyses of soil slips, three factors in addition to rainfall, were found to be most important in the origin of soil slips. These factors are geology, slope, and aspect. Geology, by far the most important factor, was derived from existing geologic maps. Slope and aspect data were obtained from 10-meter digital elevation models (DEM). Soil-slip susceptibility maps at a scale of 1:24,000 were derived from combining numerical values for geology, slope, and aspect on a 10-meter cell size for 128 7.5' quadrangles and assembled on 1:100,000-scale topographic maps. The resultant maps of relative soil-slip susceptibility represent the best estimate generated from available debris-flow inventory maps and DEM data.

  15. s

    Soils Storie Index: Santa Clara County, California, 2015

    • searchworks.stanford.edu
    zip
    Updated May 3, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2021). Soils Storie Index: Santa Clara County, California, 2015 [Dataset]. https://searchworks.stanford.edu/view/rp948gp9483
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 3, 2021
    Area covered
    Santa Clara County, California
    Description

    This polygon shapefile depicts the Storie Index, a soil rating based on soil properties that govern a soil's potential for cultivated agriculture in the County of Santa Clara, California. The Storie Index assesses the productivity of a soil from the following four characteristics: Factor A, degree of soil profile development; factor B, texture of the surface layer; factor C, slope; and factor X, manageable features, including drainage, microrelief, fertility, acidity, erosion, and salt content. A score ranging from 0 to 100 percent is determined for each factor, and the scores are then multiplied together to derive an index rating. For simplification, Storie Index ratings have been combined into six grade classes as follows: Grade 1 (excellent), 100 to 80; grade 2 (good), 79 to 60; grade 3 (fair), 59 to 40; grade 4 (poor), 39 to 20; grade 5 (very poor), 19 to 10; and grade 6 (nonagricultural), less than 10. These data were compiled from the United States Department of Agriculture Natural Resources Conservation Service Web Soil Survey in the Soil Survey Geographic (SSURGO) Database. Santa Clara County is divided into two soil surveys; a western part (CA 641, last updated: Tabular: Version 3, Sept 18, 2014. Spatial: Version 2, Dec 13, 2013) and an eastern part (CA 646, last updated Tabular: Version 9, Sept 25, 2014, Spatial: Version 4, Sept 19, 2014). This dataset combines those two surveys into one, easier to use dataset that covers the entire county. This layer is part of a collection of GIS data for Santa Clara County, California.

  16. G

    Ontario Detailed Soil Survey

    • ouvert.canada.ca
    • catalogue.arctic-sdi.org
    • +3more
    csv, fgdb/gdb +2
    Updated Sep 10, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Agriculture and Agri-Food Canada (2024). Ontario Detailed Soil Survey [Dataset]. https://ouvert.canada.ca/data/dataset/a75c3d6c-354d-436d-999d-431fb3a9de79
    Explore at:
    csv, pdf, geojson, fgdb/gdbAvailable download formats
    Dataset updated
    Sep 10, 2024
    Dataset provided by
    Agriculture and Agri-Food Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Ontario
    Description

    The Ontario Detailed Soil Survey dataset series is at a scale of 1: 50 000 and 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 datasets describe the spatial distribution of soils and associated landscapes for nearly all agricultural areas in southern Ontario.

  17. g

    Soils (Ministry of Natural Resources and Forestry)

    • maps.grey.ca
    • hub.arcgis.com
    Updated Aug 17, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Grey County (2023). Soils (Ministry of Natural Resources and Forestry) [Dataset]. https://maps.grey.ca/datasets/soils-ministry-of-natural-resources-and-forestry-1
    Explore at:
    Dataset updated
    Aug 17, 2023
    Dataset authored and provided by
    Grey County
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Description

    The soil complex database contains other descriptive information including slope class, Canada Land Inventory (CLI) ranking, stoniness, drainage class, texture etc. The CLI components of the data layer is generally intended to be used as a tool for broad land use planning decision making, and not necessarily for field-level management. The soil complex information can also be applied to source water protection, nutrient management and soil erosion modeling. Note: The soil complex data layer is subject to a continuous improvement strategy - data was last download August 2023.Ontario Ministry of Agriculture, Food, and Rural Affairs and Agriculture and Agri-Food Canada, in cooperation with the Ministry of Natural Resources, have compiled a geo-spatial soils database for Southern Ontario. The database consolidated the existing digital soil data mapped on a county basis into a digitally stitched and standardized product.The soil survey data was mapped by a number of soil surveyors from the 1920s to the 1990s. The Soil Ontario product incorporates soil information from a variety of map scales. The project has brought the individual county or regional municipality surveys together in a digitally stitched database which reveals inconsistencies in soil data across county boundaries. Using GIS and NRVIS (Natural Resource Values Information System) a GIS Specialist matched the soil polygons that crossed boundaries using the best available resources.

  18. A

    USA Soil Survey (Mature Support)

    • data.amerigeoss.org
    esri rest, html
    Updated Jun 6, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AmeriGEO ArcGIS (2019). USA Soil Survey (Mature Support) [Dataset]. https://data.amerigeoss.org/ca/dataset/usa-soil-survey-mature-support
    Explore at:
    html, esri restAvailable download formats
    Dataset updated
    Jun 6, 2019
    Dataset provided by
    AmeriGEO ArcGIS
    Area covered
    United States
    Description

    Important Note: This item is in mature support as of December 2017 and is no longer updated. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.

    This map shows the Soil Survey Geographic (SSURGO) by the United States Department of Agriculture's Natural Resources Conservation Service. It also shows data that was developed by the National Cooperative Soil Survey and supersedes the State Soil Geographic (STATSGO) dataset published in 1994. SSURGO digitizing duplicates the original soil survey maps. This level of mapping is designed for use by landowners, townships, and county natural resource planning and management. The user should be knowledgeable of soils data and their characteristics. The smallest scale map shows the Global Soil Regions map by the United States Department of Agriculture’s Natural Resources Conservation Service.

    Publication Date: December 2010

  19. a

    Campbell Creek Soils

    • hub.arcgis.com
    • campbellcreek-calfire-forestry.opendata.arcgis.com
    Updated Oct 28, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Conservation (2016). Campbell Creek Soils [Dataset]. https://hub.arcgis.com/maps/cadoc::campbell-creek-soils
    Explore at:
    Dataset updated
    Oct 28, 2016
    Dataset authored and provided by
    California Department of Conservation
    Area covered
    Description

    This dataset 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 dataset 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.

  20. s

    Farmland Classification of Soils: Santa Clara County, California, 2015

    • searchworks.stanford.edu
    zip
    Updated Feb 12, 2015
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2015). Farmland Classification of Soils: Santa Clara County, California, 2015 [Dataset]. https://searchworks.stanford.edu/view/mp959nm6914
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 12, 2015
    Area covered
    Santa Clara County, California
    Description

    This polygon shapefile depicts the farmland classification for soil map units in the County of Santa Clara, California as Prime Farmland, Farmland of Statewide Importance, Farmland of Local Importance or Unique Farmland. It identifies the location and extent of the soils that are best suited to food, feed, fiber, forage and oilseed crops. The United States Department of Agriculture Natural Resources Conservation Service policy and procedures on prime and unique farmlands are published in the "Federal Register," Vol. 43, No. 21, January 31, 1978. This layer is part of a collection of GIS data for Santa Clara County, California.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
University of California, Davis, California Soil Resource Lab; University of California, Division of Agriculture and Natural Resources; Natural Resources Conservation Service (2023). SoilWeb [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/SoilWeb/24853287
Organization logoOrganization logo

SoilWeb

Explore at:
binAvailable download formats
Dataset updated
Dec 18, 2023
Dataset provided by
United States Department of Agriculturehttp://usda.gov/
Natural Resources Conservation Servicehttp://www.nrcs.usda.gov/
Authors
University of California, Davis, California Soil Resource Lab; University of California, Division of Agriculture and Natural Resources; Natural Resources Conservation Service
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

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.

Search
Clear search
Close search
Google apps
Main menu