92 datasets found
  1. U

    USA SSURGO - Soil Hydrologic Group

    • data.unep.org
    • hub.arcgis.com
    Updated Dec 9, 2022
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    UN World Environment Situation Room (2022). USA SSURGO - Soil Hydrologic Group [Dataset]. https://data.unep.org/app/dataset/wesr-arcgis-wm-usa-ssurgo---soil-hydrologic-group
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    Dataset updated
    Dec 9, 2022
    Dataset provided by
    UN World Environment Situation Room
    Area covered
    United States
    Description

    When rain falls over land, a portion of it runs off into stream channels and storm water systems while the remainder infiltrates into the soil or returns to the atmosphere directly through evaporation.Physical properties of soil affect the rate that water is absorbed and the amount of runoff produced by a storm. Hydrologic soil group provides an index of the rate that water infiltrates a soil and is an input to rainfall-runoff models that are used to predict potential stream flow.For more information on using hydrologic soil group in hydrologic modeling see the publication Urban Hydrology for Small Watersheds (Natural Resources Conservation Service, United States Department of Agriculture, Technical Release–55).Dataset SummaryPhenomenon Mapped: Soil hydrologic groupUnits: ClassesCell Size: 30 metersSource Type: DiscretePixel Type: Unsigned integerData Coordinate System: USA Contiguous Albers Equal Area Conic USGS version (contiguous US, Puerto Rico, US Virgin Islands), WGS 1984 Albers (Alaska), Hawaii Albers Equal Area Conic (Hawaii), Western Pacific Albers Equal Area Conic (Guam, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American Samoa)Mosaic Projection: Web Mercator Auxiliary SphereExtent: Contiguous United States, Alaska, Hawaii, Puerto Rico, Guam, US Virgin Islands, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American SamoaSource: Natural Resources Conservation ServicePublication Date: December 2021ArcGIS Server URL: https://landscape11.arcgis.com/arcgis/Data from the gNATSGO database was used to create the layer for the contiguous United States, Alaska, Puerto Rico, and the U.S. Virgin Islands. The remaining areas were created with the gSSURGO database (Hawaii, Guam, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American Samoa).This layer is derived from the 30m (contiguous U.S.) and 10m rasters (all other regions) produced by the Natural Resources Conservation Service (NRCS). The value for hydrologic group is derived from the gSSURGO map unit aggregated attribute table field Hydrologic Group - Dominant Conditions (hydgrpdcd).The seven classes of hydrologic soil group followed by definitions:Group A - Group A soils consist of deep, well drained sands or gravelly sands with high infiltration and low runoff rates.Group B - Group B soils consist of deep well drained soils with a moderately fine to moderately coarse texture and a moderate rate of infiltration and runoff.Group C - Group C consists of soils with a layer that impedes the downward movement of water or fine textured soils and a slow rate of infiltration.Group D - Group D consists of soils with a very slow infiltration rate and high runoff potential. This group is composed of clays that have a high shrink-swell potential, soils with a high water table, soils that have a clay pan or clay layer at or near the surface, and soils that are shallow over nearly impervious material.Group A/D - Group A/D soils naturally have a very slow infiltration rate due to a high water table but will have high infiltration and low runoff rates if drained.Group B/D - Group B/D soils naturally have a very slow infiltration rate due to a high water table but will have a moderate rate of infiltration and runoff if drained.Group C/D - Group C/D soils naturally have a very slow infiltration rate due to a high water table but will have a slow rate of infiltration if drained.What can you do with this Layer? This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "soil hydrologic group" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "soil hydrologic group" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.

  2. USA Soils Map Units

    • historic-cemeteries.lthp.org
    • mapdirect-fdep.opendata.arcgis.com
    • +9more
    Updated Apr 5, 2019
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    Esri (2019). USA Soils Map Units [Dataset]. https://historic-cemeteries.lthp.org/maps/06e5fd61bdb6453fb16534c676e1c9b9
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    Dataset updated
    Apr 5, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Soil map units are the basic geographic unit of the Soil Survey Geographic Database (SSURGO). The SSURGO dataset is a compilation of soils information collected over the last century by the Natural Resources Conservation Service (NRCS). Map units delineate the extent of different soils. Data for each map unit contains descriptions of the soil’s components, productivity, unique properties, and suitability interpretations. Each soil type has a unique combination of physical, chemical, nutrient and moisture properties. Soil type has ramifications for engineering and construction activities, natural hazards such as landslides, agricultural productivity, the distribution of native plant and animal life and hydrologic and other physical processes. Soil types in the context of climate and terrain can be used as a general indicator of engineering constraints, agriculture suitability, biological productivity and the natural distribution of plants and animals. Data from thegSSURGO databasewas used to create this layer. To download ready-to-use project packages of useful soil data derived from the SSURGO dataset, please visit the USA SSURGO Downloader app. Dataset Summary Phenomenon Mapped:Soils of the United States and associated territoriesGeographic Extent:The 50 United States, Puerto Rico, Guam, US Virgin Islands, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American SamoaCoordinate System:Web Mercator Auxiliary SphereVisible Scale:1:144,000 to 1:1,000Source:USDA Natural Resources Conservation Service Update Frequency:AnnualPublication Date:December 2024 What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS Online Add this layer to a map in the map viewer. The layer is limited to scales of approximately 1:144,000 or larger but avector tile layercreated from the same data can be used at smaller scales to produce awebmapthat displays across the full scale range. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could set a filter forFarmland Class= "All areas are prime farmland" to create a map of only prime farmland.Add labels and set their propertiesCustomize the pop-upArcGIS Pro Add this layer to a 2d or 3d map. The same scale limit as Online applies in ProUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class.Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of theLiving Atlas of the Worldthat provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics. Data DictionaryAttributesKey fields from nine commonly used SSURGO tables were compiled to create the 173 attribute fields in this layer. Some fields were joined directly to the SSURGO Map Unit polygon feature class while others required summarization and other processing to create a 1:1 relationship between the attributes and polygons prior to joining the tables. Attributes of this layer are listed below in their order of occurrence in the attribute table and are organized by the SSURGO table they originated from and the processing methods used on them. Map Unit Polygon Feature Class Attribute TableThe fields in this table are from the attribute table of the Map Unit polygon feature class which provides the geographic extent of the map units. Area SymbolSpatial VersionMap Unit Symbol Map Unit TableThe fields in this table have a 1:1 relationship with the map unit polygons and were joined to the table using the Map Unit Key field. Map Unit NameMap Unit KindFarmland ClassInterpretive FocusIntensity of MappingIowa Corn Suitability Rating Legend TableThis table has 1:1 relationship with the Map Unit table and was joined using the Legend Key field. Project Scale Survey Area Catalog TableThe fields in this table have a 1:1 relationship with the polygons and were joined to the Map Unit table using the Survey Area Catalog Key and Legend Key fields. Survey Area VersionTabular Version Map Unit Aggregated Attribute TableThe fields in this table have a 1:1 relationship with the map unit polygons and were joined to the Map Unit attribute table using the Map Unit Key field. Slope Gradient - Dominant ComponentSlope Gradient - Weighted AverageBedrock Depth - MinimumWater Table Depth - Annual MinimumWater Table Depth - April to June MinimumFlooding Frequency - Dominant ConditionFlooding Frequency - MaximumPonding Frequency - PresenceAvailable Water Storage 0-25 cm - Weighted AverageAvailable Water Storage 0-50 cm - Weighted AverageAvailable Water Storage 0-100 cm - Weighted AverageAvailable Water Storage 0-150 cm - Weighted AverageDrainage Class - Dominant ConditionDrainage Class - WettestHydrologic Group - Dominant ConditionIrrigated Capability Class - Dominant ConditionIrrigated Capability Class - Proportion of Mapunit with Dominant ConditionNon-Irrigated Capability Class - Dominant ConditionNon-Irrigated Capability Class - Proportion of Mapunit with Dominant ConditionRating for Buildings without Basements - Dominant ConditionRating for Buildings with Basements - Dominant ConditionRating for Buildings with Basements - Least LimitingRating for Buildings with Basements - Most LimitingRating for Septic Tank Absorption Fields - Dominant ConditionRating for Septic Tank Absorption Fields - Least LimitingRating for Septic Tank Absorption Fields - Most LimitingRating for Sewage Lagoons - Dominant ConditionRating for Sewage Lagoons - Dominant ComponentRating for Roads and Streets - Dominant ConditionRating for Sand Source - Dominant ConditionRating for Sand Source - Most ProbableRating for Paths and Trails - Dominant ConditionRating for Paths and Trails - Weighted AverageErosion Hazard of Forest Roads and Trails - Dominant ComponentHydric Classification - Presence Rating for Manure and Food Processing Waste - Weighted Average Component Table – Dominant ComponentMap units have one or more components. To create a 1:1 join component data must be summarized by map unit. For these fields a custom script was used to select the component with the highest value for the Component Percentage Representative Value field (comppct_r). Ties were broken with the Slope Representative Value field (slope_r). Components with lower average slope were selected as dominant. If both soil order and slope were tied, the first value in the table was selected. Component Percentage - Low ValueComponent Percentage - Representative ValueComponent Percentage - High ValueComponent NameComponent KindOther Criteria Used to Identify ComponentsCriteria Used to Identify Components at the Local LevelRunoff ClassSoil loss tolerance factorWind Erodibility IndexWind Erodibility GroupErosion ClassEarth Cover 1Earth Cover 2Hydric ConditionHydric RatingAspect Range - Counter Clockwise LimitAspect - Representative ValueAspect Range - Clockwise LimitGeomorphic DescriptionNon-Irrigated Capability SubclassNon-Irrigated Unit Capability ClassIrrigated Capability SubclassIrrigated Unit Capability ClassConservation Tree Shrub GroupGrain Wildlife HabitatGrass Wildlife HabitatHerbaceous Wildlife HabitatShrub Wildlife HabitatConifer Wildlife HabitatHardwood Wildlife HabitatWetland Wildlife HabitatShallow Water Wildlife HabitatRangeland Wildlife HabitatOpenland Wildlife HabitatWoodland Wildlife HabitatWetland Wildlife HabitatSoil Slip PotentialSusceptibility to Frost HeavingConcrete CorrosionSteel CorrosionTaxonomic ClassTaxonomic OrderTaxonomic SuborderGreat GroupSubgroupParticle SizeParticle Size ModCation Exchange Activity ClassCarbonate ReactionTemperature ClassMoist SubclassSoil Temperature RegimeEdition of Keys to Soil Taxonomy Used to Classify SoilCalifornia Storie IndexComponent Key Component Table – Weighted AverageMap units may have one or more soil components. To create a 1:1 join, data from the Component table must be summarized by map unit. For these fields a custom script was used to calculate an average value for each map unit weighted by the Component Percentage Representative Value field (comppct_r). Slope Gradient - Low ValueSlope Gradient - Representative ValueSlope Gradient - High ValueSlope Length USLE - Low ValueSlope Length USLE - Representative ValueSlope Length USLE - High ValueElevation - Low ValueElevation - Representative ValueElevation - High ValueAlbedo - Low ValueAlbedo - Representative ValueAlbedo - High ValueMean Annual Air Temperature - Low ValueMean Annual Air Temperature - Representative ValueMean Annual Air Temperature - High ValueMean Annual Precipitation - Low ValueMean Annual Precipitation - Representative ValueMean Annual Precipitation - High ValueRelative Effective Annual Precipitation - Low ValueRelative Effective Annual Precipitation - Representative ValueRelative Effective Annual Precipitation - High ValueDays between Last and First Frost - Low ValueDays between Last and First Frost - Representative ValueDays between Last and First Frost - High ValueRange Forage Annual Potential Production - Low ValueRange Forage Annual Potential Production - Representative ValueRange Forage Annual Potential Production - High ValueInitial Subsidence - Low ValueInitial Subsidence - Representative ValueInitial Subsidence -

  3. a

    Hydrologic Soils Group

    • cotgis.hub.arcgis.com
    • gisdata.tucsonaz.gov
    Updated Mar 7, 2022
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    City of Tucson (2022). Hydrologic Soils Group [Dataset]. https://cotgis.hub.arcgis.com/maps/cotgis::hydrologic-soils-group-1
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    Dataset updated
    Mar 7, 2022
    Dataset authored and provided by
    City of Tucson
    Area covered
    Description

    The Hydrologic Soils Group Map was derived from the soil survey shape files obtained from Soils Datamart (https://sdmdataaccess.nrcs.usda.gov/) which were joined with an appropriate attribute table (derived from the component file ‘comp.txt’ and the mapping unit attribute file) which was distributed with the digital release of the soil surveys. See more information.This layer is maintained by Pima County. Click here to visit Pima County's Open Data site. Click here to visit Pima County's GIS Library metadata. PurposeThis layer was developed to show hydrologic soils groups in Pima County, Arizona.Dataset ClassificationLevel 0 - OpenKnown UsesThis layer is not in any known applications.Known Errors No known errorsContactPima County - GISdata@pima.govUpdate FrequencyAs Needed

  4. a

    GRSM SOIL TAXONOMY

    • hub.arcgis.com
    • public-nps.opendata.arcgis.com
    • +1more
    Updated Apr 5, 2025
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    National Park Service (2025). GRSM SOIL TAXONOMY [Dataset]. https://hub.arcgis.com/maps/nps::grsm-soil-taxonomy
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    Dataset updated
    Apr 5, 2025
    Dataset authored and provided by
    National Park Service
    Area covered
    Description

    This rating presents the taxonomic classification based on Soil Taxonomy. The system of soil classification used by the National Cooperative Soil Survey has six categories (Soil Survey Staff, 1999 and 2003). Beginning with the broadest, these categories are the order, suborder, great group, subgroup, family, and series. Classification is based on soil properties observed in the field or inferred from those observations or from laboratory measurements. This table shows the classification of the soils in the survey area. The categories are defined in the following paragraphs. ORDER. Twelve soil orders are recognized. The differences among orders reflect the dominant soil-forming processes and the degree of soil formation. Each order is identified by a word ending in sol. An example is Alfisols. SUBORDER. Each order is divided into suborders primarily on the basis of properties that influence soil genesis and are important to plant growth or properties that reflect the most important variables within the orders. The last syllable in the name of a suborder indicates the order. An example is Udalfs (Ud, meaning humid, plus alfs, from Alfisols). GREAT GROUP. Each suborder is divided into great groups on the basis of close similarities in kind, arrangement, and degree of development of pedogenic horizons; soil moisture and temperature regimes; type of saturation; and base status. Each great group is identified by the name of a suborder and by a prefix that indicates a property of the soil. An example is Hapludalfs (Hapl, meaning minimal horizonation, plus udalfs, the suborder of the Alfisols that has a udic moisture regime). SUBGROUP. Each great group has a typic subgroup. Other subgroups are intergrades or extragrades. The typic subgroup is the central concept of the great group; it is not necessarily the most extensive. Intergrades are transitions to other orders, suborders, or great groups. Extragrades have some properties that are not representative of the great group but do not indicate transitions to any other taxonomic class. Each subgroup is identified by one or more adjectives preceding the name of the great group. The adjective Typic identifies the subgroup that typifies the great group. An example is Typic Hapludalfs. FAMILY. Families are established within a subgroup on the basis of physical and chemical properties and other characteristics that affect management. Generally, the properties are those of horizons below plow depth where there is much biological activity. Among the properties and characteristics considered are particle-size class, mineralogy class, cation-exchange activity class, soil temperature regime, soil depth, and reaction class. A family name consists of the name of a subgroup preceded by terms that indicate soil properties. An example is fine-loamy, mixed, active, mesic Typic Hapludalfs. SERIES. The series consists of soils within a family that have horizons similar in color, texture, structure, reaction, consistence, mineral and chemical composition, and arrangement in the profile. References: Soil Survey Staff. 1999. Soil taxonomy: A basic system of soil classification for making and interpreting soil surveys. 2nd edition. Natural Resources Conservation Service. U.S. Department of Agriculture Handbook 436. Soil Survey Staff. 2006. Keys to soil taxonomy. 10th edition. U.S. Department of Agriculture, Natural Resources Conservation Service. (The soils in a given survey area may have been classified according to earlier editions of this publication.) SSURGO 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. The most common use of these data is communication of soil conditions to contractors working in the park. Additional uses of these data include analysis by park partners and researchers of the physical and chemical properties of soils, including their effect and influence on the management of natural habitats, ecosystem health, and natural resource inventory. 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 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 required. 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 Record relational database, which gives the proportionate extent of the component soils and their properties. These data represent a specific interpretation of the SSURGO soils data produced by the NRCS, using the NRCS Soil Data Viewer version 6.0. Building site development interpretations are designed to be used as tools for evaluating soil suitability and identifying soil limitations for various construction purposes. As part of the interpretation process, the rating applies to each soil in its described condition and does not consider present land use. Example interpretations can include corrosion of concrete and steel, shallow excavations, dwellings with and without basements, small commercial buildings, local roads and streets, and lawns and landscaping. This is a hybrid data product produced using NRCS SSURGO soils data. These data should not be considered SSURGO-compliant, as data used in this product is the result of merging data from several separate SSURGO databases. The NRCS does not endorse or support this hybrid product.The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park Soil Taxonomy.

  5. d

    NRCS FY2018 Soil Properties and Interpretations, Derived Using gSSURGO Data...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). NRCS FY2018 Soil Properties and Interpretations, Derived Using gSSURGO Data and Tools [Dataset]. https://catalog.data.gov/dataset/nrcs-fy2018-soil-properties-and-interpretations-derived-using-gssurgo-data-and-tools
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    These data depict the western United States Map Unit areas as defined by the USDA NRCS. Each Map Unit area contains information on a variety of soil properties and interpretations. The raster is to be joined to the .csv file by the field "mukey." We keep the raster and csv separate to preserve the full attribute names in the csv that would be truncated if attached to the raster. Once joined, the raster can be classified or analyzed by the columns which depict the properties and interpretations. It is important to note that each property has a corresponding component percent column to indicate how much of the map unit has the dominant property provided. For example, if the property "AASHTO Group Classification (Surface) 0 to 1cm" is recorded as "A-1" for a map unit, a user should also refer to the component percent field for this property (in this case 75). This means that an estimated 75% of the map unit has a "A-1" AASHTO group classification and that "A-1" is the dominant group. The property in the column is the dominant component, and so the other 25% of this map unit is comprised of other AASHTO Group Classifications. This raster attribute table was generated from the "Map Soil Properties and Interpretations" tool within the gSSURGO Mapping Toolset in the Soil Data Management Toolbox for ArcGIS™ User Guide Version 4.0 (https://www.nrcs.usda.gov/wps/PA_NRCSConsumption/download?cid=nrcseprd362255&ext=pdf) from GSSURGO that used their Map Unit Raster as the input feature (https://gdg.sc.egov.usda.gov/). The FY2018 Gridded SSURGO Map Unit Raster was created for use in national, regional, and state-wide resource planning and analysis of soils data. These data were created with guidance from the USDA NRCS. The fields named "*COMPPCT_R" can exceed 100% for some map units. The NRCS personnel are aware of and working on fixing this issue. Take caution when interpreting these areas, as they are the result of some data duplication in the master gSSURGO database. The data are considered valuable and required for timely science needs, and thus are released with this known error. The USDA NRCS are developing a data release which will replace this item when it is available. For the most up to date ssurgo releases that do not include the custom fields as this release does, see https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/home/?cid=nrcs142p2_053628#tools For additional definitions, see https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053627.

  6. C

    Allegheny County Soil Type Areas

    • data.wprdc.org
    • datadiscoverystudio.org
    • +7more
    csv, geojson, html +2
    Updated Jun 28, 2025
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    Allegheny County (2025). Allegheny County Soil Type Areas [Dataset]. https://data.wprdc.org/dataset/allegheny-county-soil-type-areas
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    html, csv, kml(25990848), zip(19554272), geojson(67027786)Available download formats
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Allegheny County
    Area covered
    Allegheny County
    Description

    This dataset contains soil type and soil classification, by area.

    This dataset is harvested on a weekly basis from Allegheny County’s GIS data portal. The full metadata record for this dataset can also be found on Allegheny County's GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the "Explore button (and choosing the "Go to resource" option) to the right of the "ArcGIS Open Dataset" text below.

    Category: Environment

    Department: Geographic Information Systems Group; Department of Administrative Services

    Development Notes: 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 soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey.

    Related Documents: Data Dictionary for SOIL_CODE, https://www.nrcs.usda.gov/Internet/FSE_MANUSCRIPTS/pennsylvania/PA003/0/legends.pdf (the last page includes the soil legend for this dataset)

  7. World Soil Groups - World Reference Base (WRB)

    • colorado-river-portal.usgs.gov
    • hub.arcgis.com
    • +1more
    Updated Nov 4, 2021
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    Esri (2021). World Soil Groups - World Reference Base (WRB) [Dataset]. https://colorado-river-portal.usgs.gov/maps/esri::world-soil-groups-world-reference-base-wrb/about
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    Dataset updated
    Nov 4, 2021
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This data was downloaded from soilgrids.org in October, 2021. This is the version published in May 2020 under a creative commons license.Legend and map colors in this release are the same as the soilgrids.org wrb map.The World Reference Base (WRB) is the international standard for soil classification system endorsed by the International Union of Soil Sciences.Soilgrids project:https://www.isric.org/explore/soilgridsGuide to the World Reference Base for Soil Resources:https://www.fao.org/soils-portal/data-hub/soil-classification/world-reference-base/en/Variable mapped: Most likely WRB soil group for each pixel as predicted by SoilGrids.orgData Projection: Goode's Homolosine (land) WKID 54052Mosaic Projection: Goode's Homolosine (land) WKID 54052Extent: World, except AntarcticaCell Size: 250 mSource Type: ThematicVisible Scale: All scales are visibleSource: SoilGrids.orgPublication Date: June 14, 2021Data is shared in original Goode's homolosine projection using ArcGIS Image for ArcGIS Online. As of November 14, 2023 the following map clients can handle data published in this projection:ArcGIS Online Classic Map Viewer: Strange mirror image artifacts near antimeridianArcGIS Online (new) Map Viewer: Some data dropped near antimeridianArcGIS Pro: Good

  8. a

    Data from: Hydrologic Soil Groups

    • hub.arcgis.com
    • data2017-01-09t190539232z-sjcgis.opendata.arcgis.com
    • +1more
    Updated Aug 19, 2016
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    San Juan County GIS (2016). Hydrologic Soil Groups [Dataset]. https://hub.arcgis.com/datasets/SJCGIS::hydrologic-soil-groups
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    Dataset updated
    Aug 19, 2016
    Dataset authored and provided by
    San Juan County GIS
    Area covered
    Description

    When rain falls over land a portion of it runs off into stream channels and storm water systems while the remainder is absorbed into the soil or returns to the atmosphere directly through evaporation.Physical properties of soil affect the rate that water is absorbed and the amount of runoff produced by a storm. Hydrologic soil group provides an index of the rate that water infiltrates a soil and is an input to rainfall-runoff models that are used to predict potential stream flow.For more information on using hydrologic soil group in hydrologic modeling see the publication Urban Hydrology for Small Watersheds (Natural Resources Conservation Service, United States Department of Agriculture, Technical Release–55).Dataset SummaryThis layer provides access to an image service with a cell size of 30 meters. It is derived from the 2014 version of the gSSURGO 30m raster (contiguous 48 States and Washington D.C.) and 10m raster (all other regions) produced by the Natural Resources Conservation Service (NRCS). The value for hydrologic soil group was derived from the gSSURGO Map Unit Aggregate Attribute table field Hydrologic Group - Dominant Conditions (hydgrpdcd).This 30m resolution layer covers most of the continental United States, portions of Alaska, and Hawaii, Puerto Rico, the U.S. Virgin Islands, and several Pacific Islands including Guam and Saipan. The layer was created from the 2014 SSURGO snapshot.The seven classes of hydrologic soil group are:Group A soils have a high infiltration rate and low runoff. These soils consist of deep, well drained sands or gravelly sands and have a high rate of water transmission.Group B soils have a moderate infiltration rate. This group consists chiefly of deep well drained soils with a moderately fine to moderately coarse texture and a moderate rate of water transmission.Group C soils have a slow infiltration rate. This group consists of soils with a layer that impedes the downward movement of water or fine textured soils and a slow rate of water transmission.Group D soils have a very slow infiltration rate and high runoff potential. This group is composed of clays that have a high shrink-swell potential, soils with a high water table, soils that have a claypan or clay layer at or near the surface, and soils that are shallow over nearly impervious material. These soils have a very slow rate of water transmission.If a soil is placed in group D because of a high water table it may be assigned to a dual hydrologic group: A/D, B/D, or C/D. The first letter of the pair represents the soil’s group if drained and the D represents the natural condition.For more information on soil hydrologic groups see the Natural Resources Conservation Service's National Engineering Handbook.The original gSSURGO dataset is available from the NRCS’s Geospatial Data Gateway.Link to source metadata

  9. A

    SSURGO Data Downloader (Mature Support)

    • data.amerigeoss.org
    esri rest, html
    Updated Oct 20, 2017
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    AmeriGEO ArcGIS (2017). SSURGO Data Downloader (Mature Support) [Dataset]. https://data.amerigeoss.org/dataset/ssurgo-data-downloader-mature-support
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    html, esri restAvailable download formats
    Dataset updated
    Oct 20, 2017
    Dataset provided by
    AmeriGEO ArcGIS
    Description

    Mature Support: This item is in Mature Support. A new version of this application is available for your use.

    No longer do you have to spend time learning about the SSURGO database structure before you can use the data. No longer do you have to figure out how to import the data into the ArcGIS system to get your job done.

    Use this web map to download map packages created from the Soil Survey Geographic Database (SSURGO) that the Esri Soils Team has extracted and prepared for immediate use in your maps and analyses.

    The Esri Soils Team created a map with 130 of the most useful variables in SSURGO. The data are packaged by subbasin (HUC8 from the Watershed Boundary Dataset) and are available through this web map.

    The SSURGO data selected for this application consist of basic descriptions of the data (from the Map Unit Feature Class and Map Unit tables), a collection of interpretations (from the MUAGGATT table), and aggregated information about the components of each map unit (Component table). We chose these data because they represent the most commonly used fields in SSURGO and many of these values serve as standard inputs to assessment and modeling processes.

    Included in the map package is a zip folder containing 19 layer files to symbolize the data. The layer files contain the symbology from the Soil Mobile and Web Maps Group on ArcGIS.com. To access the folder use the Extract Package tool in the Data Management Toolbox then open the folder containing the extracted map package in Windows Explorer and navigate to commondata > userdata and unzip the LayerFiles.zip folder.

    Data from the four SSURGO tables were assembled into the single table included in each map package. Data from the component table were aggregated using a dominant component model (listed below under Component Table – Dominant Component) or a weighted average model (listed below under Component Table – Weighted Average) using custom Python scripts. The the Mapunit table, the MUAGATTAT table and the processed Component table data were joined to the Mapunit Feature Class. Field aliases were added and indexes calculated. A field named Map Symbol was created and populated with random integers from 1-10 for symbolizing the soil units in the map package.

    For documentation of the SSURGO dataset see:

    For documentation of the Watershed Boundary Dataset see:

    The map packages contain the following attributes in the Map Units layer:

    Mapunit Feature Class:
    Survey Area
    Spatial Version
    Mapunit Symbol
    Mapunit Key
    National Mapunit Symbol

    Mapunit Table:
    Mapunit Name
    Mapunit Kind
    Farmland Class
    Highly Erodible Lands Classification - Wind and Water
    Highly Erodible Lands Classification – Water
    Highly Erodible Lands Classification – Wind
    Interpretive Focus
    Intensity of Mapping
    Legend Key
    Mapunit Sequence
    Iowa Corn Suitability Rating

    Legend Table:
    Project Scale
    Tabular Version

    MUAGGATT Table:
    Slope Gradient - Dominant Component
    Slope Gradient - Weighted Average
    Bedrock Depth – Minimum
    Water Table Depth - Annual Minimum
    Water Table Depth - April to June Minimum
    Flooding Frequency - Dominant Condition
    Flooding Frequency – Maximum
    Ponding Frequency – Presence
    Available Water Storage 0-25 cm - Weighted Average
    Available Water Storage 0-50 cm - Weighted Average
    Available Water Storage 0-100 cm - Weighted Average
    Available Water Storage 0-150 cm - Weighted Average
    Drainage Class - Dominant Condition
    Drainage Class – Wettest
    Hydrologic Group - Dominant Condition
    Irrigated Capability Class - Dominant Condition
    Irrigated Capability Class - Proportion of Mapunit with Dominant Condition
    Non-Irrigated Capability Class - Dominant Condition
    Non-Irrigated Capability Class - Proportion of Mapunit with Dominant Condition
    Rating for Buildings without Basements - Dominant Condition
    Rating for Buildings with Basements - Dominant Condition
    Rating for Buildings with Basements - Least Limiting
    Rating for Buildings with Basements - Most Limiting
    Rating for Septic Tank Absorption Fields - Dominant Condition
    Rating for Septic Tank Absorption Fields - Least Limiting
    Rating for Septic Tank Absorption Fields - Most Limiting
    Rating for Sewage Lagoons - Dominant Condition
    Rating for Sewage Lagoons - Dominant Component
    Rating for Roads and Streets - Dominant Condition
    Rating for Sand Source - Dominant Condition
    Rating for Sand Source - Most Probable
    Rating for Paths and Trails - Dominant Condition
    Rating for Paths and Trails - Weighted Average
    Erosion Hazard of Forest Roads and Trails - Dominant Component
    Hydric Classification – Presence
    Rating for Manure and Food Processing Waste - Weighted Average

    Component Table – Weighted Average:
    Mean Annual Air Temperature - High Value
    Mean Annual Air Temperature - Low Value
    Mean Annual Air Temperature - Representative Value
    Albedo - High Value
    Albedo - Low Value
    Albedo - Representative Value
    Slope - High Value
    Slope - Low Value
    Slope - Representative Value
    Slope Length - High Value
    Slope Length - Low Value
    Slope Length - Representative Value
    Elevation - High Value
    Elevation - Low Value
    Elevation - Representative Value
    Mean Annual Precipitation - High Value
    Mean Annual Precipitation - Low Value
    Mean Annual Precipitation - Representative Value
    Days between Last and First Frost - High Value
    Days between Last and First Frost - Low Value
    Days between Last and First Frost - Representative Value
    Crop Production Index
    Range Forage Annual Potential Production - High Value
    Range Forage Annual Potential Production - Low Value
    Range Forage Annual Potential Production - Representative Value
    Initial Subsidence - High Value
    Initial Subsidence - Low Value
    Initial Subsidence - Representative Value
    Total Subsidence - High Value
    Total Subsidence - Low Value
    Total Subsidence - Representative Value

    Component Table – Dominant Component:
    Component Key
    Component Percentage - Low Value
    Component Percentage - Representative Value
    Component Percentage - High Value
    Component Name
    Component Kind
    Other Criteria Used to Identify Components
    Criteria Used to Identify Components at the Local Level
    Runoff
    Soil Loss Tolerance Factor
    Wind Erodibility Index
    Wind Erodibility Group
    Erosion Class
    Earth Cover 1
    Earth Cover 2
    Hydric Condition
    Aspect Range - Counter Clockwise Limit
    Aspect - Representative Value
    Aspect Range - Clockwise Limit
    Geomorphic Description
    Non-Irrigated Capability Subclass
    Non-Irrigated Unit Capability Class
    Irrigated Capability Subclass
    Irrigated Unit Capability Class
    Conservation Tree Shrub Group
    Forage Suitability Group
    Grain Wildlife Habitat
    Grass Wildlife Habitat
    Herbaceous Wildlife Habitat
    Shrub Wildlife Habitat
    Conifer Wildlife Habitat
    Hardwood Wildlife Habitat
    Wetland Wildlife Habitat
    Shallow Water Wildlife Habitat
    Rangeland Wildlife Habitat
    Openland Wildlife Habitat
    Woodland Wildlife Habitat
    Wetland Wildlife Habitat
    Soil Slip Potential
    Susceptibility to Frost Heaving
    Concrete Corrosion
    Steel Corrosion
    Taxonomic Class Name
    Order
    Suborder
    Great Group
    Subgroup
    Particle Size
    Particle Size Modifier
    Cation Exchange Activity Class
    Carbonate Reaction
    Temperature Class
    Moisture Subclass
    Soil Temperature Regime
    Edition of Keys to Soil Taxonomy Used to Classify Soil

    Esri generated field for Symbology:
    Map Symbol

    In accordance with NRCS recommendations, we suggest the following citation for the data:

    Soil Survey

  10. USA SSURGO - Soil Hydrologic Group

    • anrgeodata.vermont.gov
    • atlas.eia.gov
    • +7more
    Updated Jun 20, 2017
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    Esri (2017). USA SSURGO - Soil Hydrologic Group [Dataset]. https://anrgeodata.vermont.gov/datasets/be2124509b064754875b8f0d6176cc4c
    Explore at:
    Dataset updated
    Jun 20, 2017
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    When rain falls over land, a portion of it runs off into stream channels and storm water systems while the remainder infiltrates into the soil or returns to the atmosphere directly through evaporation. Physical properties of soil affect the rate that water is absorbed and the amount of runoff produced by a storm. Hydrologic soil group provides an index of the rate that water infiltrates a soil and is an input to rainfall-runoff models that are used to predict potential stream flow. For more information on using hydrologic soil group in hydrologic modeling see the publication Urban Hydrology for Small Watersheds (Natural Resources Conservation Service, United States Department of Agriculture, Technical Release–55). Dataset SummaryPhenomenon Mapped: Soil hydrologic groupGeographic Extent: Contiguous United States, Alaska, Hawaii, Puerto Rico, Guam, US Virgin Islands, Northern Mariana Islands, Republic of Palau, Republic of the Marshall Islands, Federated States of Micronesia, and American Samoa.Projection: Web Mercator Auxiliary SphereData Coordinate System: WKID 5070 USA Contiguous Albers Equal Area Conic USGS version (contiguous US, Puerto Rico, US Virgin Islands), WKID 3338 WGS 1984 Albers (Alaska), WKID 4326 WGS 1984 Decimal Degrees (Guam, Republic of the Marshall Islands, Northern Mariana Islands, Republic of Palau, Federated States of Micronesia, American Samoa, and Hawaii).Units: ClassesCell Size: 30 metersSource Type: DiscretePixel Type: Unsigned integerSource: Natural Resources Conservation ServiceUpdate Frequency: AnnualPublication Date: December 2024 Data from the gNATSGO database was used to create the layer. This layer is derived from the 30m rasters produced by the Natural Resources Conservation Service (NRCS). The value for hydrologic group is derived from the gSSURGO map unit aggregated attribute table field Hydrologic Group - Dominant Conditions(hydgrpdcd). The seven classes of hydrologic soil group followed by definitions:Group A - Group A soils consist of deep, well drained sands or gravelly sands with high infiltration and low runoff rates.Group B - Group B soils consist of deep well drained soils with a moderately fine to moderately coarse texture and a moderate rate of infiltration and runoff.Group C - Group C consists of soils with a layer that impedes the downward movement of water or fine textured soils and a slow rate of infiltration.Group D - Group D consists of soils with a very slow infiltration rate and high runoff potential. This group is composed of clays that have a high shrink-swell potential, soils with a high water table, soils that have a clay pan or clay layer at or near the surface, and soils that are shallow over nearly impervious material.Group A/D - Group A/D soils naturally have a very slow infiltration rate due to a high water table but will have high infiltration and low runoff rates if drained.Group B/D - Group B/D soils naturally have a very slow infiltration rate due to a high water table but will have a moderate rate of infiltration and runoff if drained.Group C/D - Group C/D soils naturally have a very slow infiltration rate due to a high water table but will have a slow rate of infiltration if drained. What can you do with this layer?This layer is suitable for both visualization and analysis acrossthe ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application. Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online, you can add this layer to a map by selectingAddthenBrowse Living Atlas Layers. A window will open. Type "soil hydrologic group" in the search box and browse to the layer. Select the layer then clickAdd to Map. In ArcGIS Pro, open a map and selectAdd Datafrom the Map Tab. SelectDataat the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expandPortalif necessary, then selectLiving Atlas. Type "soil hydrologic group" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro. Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions. The ArcGIS Living Atlas of the World provides an easy way to explore many otherbeautiful and authoritative maps on hundreds of topics like this one. Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

  11. Soils

    • data.virginia.gov
    • hub.arcgis.com
    Updated Nov 17, 2016
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    Prince William County (2016). Soils [Dataset]. https://data.virginia.gov/dataset/soils
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    html, kml, zip, arcgis geoservices rest api, geojson, csvAvailable download formats
    Dataset updated
    Nov 17, 2016
    Dataset provided by
    Natural Resources Conservation Servicehttp://www.nrcs.usda.gov/
    Authors
    Prince William County
    Description

    The Soils feature class represents the spatial (polygon) and descriptive data regarding soil types in Prince William County. Several fields relating to erosion, permeability, slope, and hydrologic soils group have been included with the soils spatial and descriptive attributes. Unique identifier fields have the ability to tie into the full Soil Survey Microsoft Access table – available for download on the USDA NRCS NCSS website – and allow to look at more in-depth information and qualities related to those soils.

  12. World Soils Harmonized World Soil Database - Hydric (Mature Support)

    • cacgeoportal.com
    Updated Nov 19, 2014
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    Esri (2014). World Soils Harmonized World Soil Database - Hydric (Mature Support) [Dataset]. https://www.cacgeoportal.com/datasets/233818f3e40a4bc39e4f8a942c19e6fb
    Explore at:
    Dataset updated
    Nov 19, 2014
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of April 2024 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.Soil is a key natural resource that provides the foundation of basic ecosystem services. Soil determines the types of farms and forests that can grow on a landscape. Soil filters water. Soil helps regulate the Earth's climate by storing large amounts of carbon. Activities that degrade soils reduce the value of the ecosystem services that soil provides. For example, since 1850 35% of human caused green house gas emissions are linked to land use change. The Soil Science Society of America is a good source of of additional information.Many hydrologic processes are affected by the properties of the soil. The amount and timing or run off from a storm is related to how fast soil absorbs water. and the physical structure of the soil affects the amount of water that can be stored in the ground.Dataset SummaryThis layer provides access to a 30 arc-second (roughly 1 km) cell-sized raster with attributes related to soil hydrology derived from the Harmonized World Soil Database v 1.2. The values in this layer are for the dominant soil in each mapping unit (sequence field = 1).Fields are available for each of these attributes related to hydrology:Drainage ClassAvailable Water Storage Capacity - mm/mImpermeable Layer Depth - only in the European Soil DatabaseSoil Water Regime - only in the European Soil DatabaseThe layer is symbolized with the Drainage Class field.The document Harmonized World Soil Database Version 1.2 provides more detail on the attributes related to soil hydrology contained in this layer.Other attributes contained in this layer include:Soil Mapping Unit Name - the name of the spatially dominant major soil groupSoil Mapping Unit Symbol - a two letter code for labeling the spatially dominant major soil group in thematic mapsData Source - the HWSD is an aggregation of datasets. The data sources are the European Soil Database (ESDB), the 1:1 million soil map of China (CHINA), the Soil and Terrain Database Program (SOTWIS), and the Digital Soil Map of the World (DSMW).Percentage of Mapping Unit covered by dominant componentMore information on the Harmonized World Soil Database is available here.Other layers created from the Harmonized World Soil Database are available on ArcGIS Online:World Soils Harmonized World Soil Database - Bulk DensityWorld Soils Harmonized World Soil Database – ChemistryWorld Soils Harmonized World Soil Database - Exchange CapacityWorld Soils Harmonized World Soil Database – GeneralWorld Soils Harmonized World Soil Database – TextureThe authors of this data set request that projects using these data include the following citation:FAO/IIASA/ISRIC/ISSCAS/JRC, 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria.What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. The source data for this layer are available here.This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started follow these links:Living Atlas Discussion GroupSoil Data Discussion GroupThe Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.

  13. World Soils Harmonized World Soil Database - Texture (Mature Support)

    • agriculture.africageoportal.com
    • cacgeoportal.com
    • +5more
    Updated Nov 19, 2014
    + more versions
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    Esri (2014). World Soils Harmonized World Soil Database - Texture (Mature Support) [Dataset]. https://agriculture.africageoportal.com/datasets/aa9a3a2dc6924f46adc5a999787f7961
    Explore at:
    Dataset updated
    Nov 19, 2014
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of April 2024 and will be retired in December 2026. Please use the following layers at replacements: World Soils 250m Percent Sand, World Soils 250m Percent Silt, World Soils 250m Percent Clay. Esri recommends updating your maps and apps to use the new version. Soil is a key natural resource that provides the foundation of basic ecosystem services. Soil determines the types of farms and forests that can grow on a landscape. Soil filters water. Soil helps regulate the Earth's climate by storing large amounts of carbon. Activities that degrade soils reduce the value of the ecosystem services that soil provides. For example, since 1850 35% of human caused green house gas emissions are linked to land use change. The Soil Science Society of America is a good source of of additional information.Soil texture is an important factor determining which kinds of plants can be grown in a particular location. Texture determines a soil's susceptibility to erosion or compaction and how well a soil holds nutrients and water. For example sandy soils tend to be well drained and dry quickly often holding few nutrients while clay soils may hold much more water and many more plant nutrients.Dataset SummaryThis layer provides access to a 30 arc-second (roughly 1 km) cell-sized raster with attributes related to soil texture derived from the Harmonized World Soil Database v 1.2. The values in this layer are for the dominant soil in each mapping unit (sequence field = 1).Fields for topsoil (0-30 cm) and subsoil (30-100 cm) are available for each of these attributes related to soil texture:USDA Texture ClassGravel - % volumeSand - % weightSilt - % weightClay - % weightThe layer is symbolized with the topsoil texture class.The document Harmonized World Soil Database Version 1.2 provides more detail on the soil texture attributes contained in this layer.Other attributes contained in this layer include:Soil Mapping Unit Name - the name of the spatially dominant major soil groupSoil Mapping Unit Symbol - a two letter code for labeling the spatially dominant major soil group in thematic mapsData Source - the HWSD is an aggregation of datasets. The data sources are the European Soil Database (ESDB), the 1:1 million soil map of China (CHINA), the Soil and Terrain Database Program (SOTWIS), and the Digital Soil Map of the World (DSMW).Percentage of Mapping Unit covered by dominant componentMore information on the Harmonized World Soil Database is available here.Other layers created from the Harmonized World Soil Database are available on ArcGIS Online:World Soils Harmonized World Soil Database - Bulk DensityWorld Soils Harmonized World Soil Database – ChemistryWorld Soils Harmonized World Soil Database - Exchange CapacityWorld Soils Harmonized World Soil Database – GeneralWorld Soils Harmonized World Soil Database – HydricThe authors of this data set request that projects using these data include the following citation:FAO/IIASA/ISRIC/ISSCAS/JRC, 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria.What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. The source data for this layer are available here.This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.

  14. u

    Utah Soils

    • opendata.gis.utah.gov
    • hub.arcgis.com
    • +1more
    Updated Apr 30, 2022
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    Utah Automated Geographic Reference Center (AGRC) (2022). Utah Soils [Dataset]. https://opendata.gis.utah.gov/datasets/utah-soils/about
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    Dataset updated
    Apr 30, 2022
    Dataset authored and provided by
    Utah Automated Geographic Reference Center (AGRC)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Utah Soils is a subset of the more comprehensive Natural Resources Conservation Service (NRCS) SSURGO database. The SSURGO database is a collection of 6 feature classes, one raster, 76 tables, and 69 relationship classes that represent over a century's worth of soil data collected by the National Cooperative Soil Survey. Utah Soils is a collection of the more widely used SSURGO soil attributes and SSURGO MUPOLYGON geometry to provide users an overview of Utah soils data without the complexity of the SSURGO database itself. Users are encouraged to explore the SSURGO database found here for a more detailed description of the soils of Utah. More information about NRCS and SSURGO can also be found here.

  15. v

    VT Data - NRCS Soil Survey Units

    • geodata.vermont.gov
    • data.amerigeoss.org
    • +4more
    Updated Oct 1, 2022
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    VT Center for Geographic Information (2022). VT Data - NRCS Soil Survey Units [Dataset]. https://geodata.vermont.gov/datasets/VCGI::vt-data-nrcs-soil-survey-units/about
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    Dataset updated
    Oct 1, 2022
    Dataset authored and provided by
    VT Center for Geographic Information
    Area covered
    Description

    (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

  16. gSSURGO Muaggat FY 2013

    • catalog.data.gov
    Updated Nov 7, 2024
    + more versions
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    U.S. Department of Agriculture, Natural Resources Conservation Service, National Soil Survey Center (Point of Contact) (2024). gSSURGO Muaggat FY 2013 [Dataset]. https://catalog.data.gov/dataset/gssurgo-muaggat-fy-2013
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    Dataset updated
    Nov 7, 2024
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Natural Resources Conservation Servicehttp://www.nrcs.usda.gov/
    Description

    This dataset is called the Gridded SSURGO (gSSURGO) Database and is derived from the Soil Survey Geographic (SSURGO) Database. SSURGO is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards. The tabular data represent the soil attributes, and are derived from properties and characteristics stored in the National Soil Information System (NASIS). The gSSURGO data were prepared by merging traditional SSURGO digital vector map and tabular data into State-wide extents, and adding a State-wide gridded map layer derived from the vector, plus a new value added look up (valu) table containing "ready to map" attributes. The gridded map layer is offered in an ArcGIS file geodatabase raster format. The raster and vector map data have a State-wide extent. The recently released (2011) gSSURGO value added look up (valu) table (created by USDA-NRCS) contains attribute data summarized to the map unit level using best practice generalization methods intended to meet the needs of most users. The generalization methods include map unit component weighted averages and percent of the map unit meeting a given criteria.Summarized description of the Format and organization of SSURGO:Adjacent soil surveys may have been composed by different individuals, and may be of widely different vintages. Any given survey must comply with basic standards, but older surveys reflect a more generalized approach than more modern surveys. The figure to the right illustrates such differences.Polygons represent a repeating pattern of legend entries: groups of map-able soil concepts called map unitsMap unit data is stored in the mapunit table, and is referenced by the field mukeyPre-aggregated map unit data is stored in the muaggatt table, and is referenced by the field mukeyMap units are comprised of multiple, unmapped soil types called 'components'Component data is stored in the component table, and is referenced by the field cokeySoil components (or soil type) are associated with multiple horizonsHorizon data is stored in the chorizon table, and is referenced by the field cokeySince there is a 1:many:many (mapunit:component:horizon) relationship between spatial and horizon-level soil property data two aggregation steps are required in order to produce a thematic mapSource: http://casoilresource.lawr.ucdavis.edu/drupal/book/export/html/335Summary Descriptions of gSSURGO Soil Survey Attributes contained within the MUAGGATT table.MUAGGATT Table:Slope Gradient - Dominant ComponentSlope Gradient - Weighted AverageBedrock Depth – MinimumWater Table Depth - Annual MinimumWater Table Depth - April to June MinimumFlooding Frequency - Dominant ConditionFlooding Frequency – MaximumPonding Frequency – PresenceAvailable Water Storage 0-25 cm - Weighted AverageAvailable Water Storage 0-50 cm - Weighted AverageAvailable Water Storage 0-100 cm - Weighted AverageAvailable Water Storage 0-150 cm - Weighted AverageDrainage Class - Dominant ConditionDrainage Class – WettestHydrologic Group - Dominant ConditionIrrigated Capability Class - Dominant ConditionIrrigated Capability Class - Proportion of Mapunit with Dominant ConditionNon-Irrigated Capability Class - Dominant ConditionNon-Irrigated Capability Class - Proportion of Mapunit with Dominant ConditionRating for Buildings without Basements - Dominant ConditionRating for Buildings with Basements - Dominant ConditionRating for Buildings with Basements - Least LimitingRating for Buildings with Basements - Most LimitingRating for Septic Tank Absorption Fields - Dominant ConditionRating for Septic Tank Absorption Fields - Least LimitingRating for Septic Tank Absorption Fields - Most LimitingRating for Sewage Lagoons - Dominant ConditionRating for Sewage Lagoons - Dominant ComponentRating for Roads and Streets - Dominant ConditionRating for Sand Source - Dominant ConditionRating for Sand Source - Most ProbableRating for Paths and Trails - Dominant ConditionRating for Paths and Trails - Weighted AverageErosion Hazard of Forest Roads and Trails - Dominant ComponentHydric Classification – PresenceRating for Manure and Food Processing Waste - Weighted Average

  17. K

    Oregon City, Oregon Soils (Hydrologic Soil Group)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Apr 23, 2019
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    Oregon City, Oregon (2019). Oregon City, Oregon Soils (Hydrologic Soil Group) [Dataset]. https://koordinates.com/layer/100040-oregon-city-oregon-soils-hydrologic-soil-group/
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    kml, pdf, shapefile, mapinfo tab, csv, mapinfo mif, geodatabase, dwg, geopackage / sqliteAvailable download formats
    Dataset updated
    Apr 23, 2019
    Dataset authored and provided by
    Oregon City, Oregon
    Area covered
    Description

    Geospatial data about Oregon City, Oregon Soils (Hydrologic Soil Group). Export to CAD, GIS, PDF, CSV and access via API.

  18. NRCS Soil (SSURGO) Data Mart Data Access Web Map Service (WMS)

    • ngda-soils-geoplatform.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jul 19, 2025
    + more versions
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    USDA NRCS ArcGIS Online (2025). NRCS Soil (SSURGO) Data Mart Data Access Web Map Service (WMS) [Dataset]. https://ngda-soils-geoplatform.hub.arcgis.com/maps/518585f5b8cf41a5b11afab5c31c51dd
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    Dataset updated
    Jul 19, 2025
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Natural Resources Conservation Servicehttp://www.nrcs.usda.gov/
    Authors
    USDA NRCS ArcGIS Online
    Area covered
    Earth
    Description

    NRCS SSURGO Soils web map service. This is an Open GIS Consortium standard Web Map Service (WMS).Soil Data Access WMS 1.3.0 & WFS 2.0.0 Web Services HelpThe current Soil Data Access Web Map Service (WMS) supports Open Geospatial Consortium (OGC) WMS version 1.3.0 requests while the current Soil Data Access Web Feature Services (WFS) support OGC WFS version 2.0.0 (GML2/GML3) requests. GML is an acronym for Geography Markup Language, and is the XML grammar defined by the Open Geospatial Consortium (OGC) to express geographical features. GML serves as a modeling language for geographic systems as well as an open interchange format for geographic transactions on the Internet. EPSG is an acronym used throughout the Soil Data Access web pages. It stands for European Petroleum Survey Group. They publish a database of coordinate system information plus some very good related documents on map projections and datums.The current Soil Data Access WMS service is supported by the following ArcGIS Pro versions:ArcGIS PRO 3.xArcGIS PRO 2.xArcGIS PRO 1.4The current Soil Data Access WMS service is supported by the following ArcGIS Desktop versions:ArcGIS 10.8The current Soil Data Access WMS services are supported by the following ArcGIS Enterprise versions:ArcGIS Enterprise 10.6ArcGIS Enterprise 10.5The current Soil Data Access WFS services are supported by the following ArcGIS Enterprise versions:ArcGIS Enterprise 11.xArcGIS Enterprise 10.9ArcGIS Enterprise 10.8ArcGIS Enterprise 10.7ArcGIS Enterprise 10.6ArcGIS Enterprise 10.5

  19. World Soils Harmonized World Soil Database - Bulk Density (Mature Support)

    • cacgeoportal.com
    • onemap-esri.hub.arcgis.com
    Updated Nov 18, 2014
    + more versions
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    Esri (2014). World Soils Harmonized World Soil Database - Bulk Density (Mature Support) [Dataset]. https://www.cacgeoportal.com/datasets/9b1cefacf7be47ab93c2dab2e2f24d68
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    Dataset updated
    Nov 18, 2014
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of April 2024 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Soil is a key natural resource that provides the foundation of basic ecosystem services. Soil determines the types of farms and forests that can grow on a landscape. Soil filters water. Soil helps regulate the Earth's climate by storing large amounts of carbon. Activities that degrade soils reduce the value of the ecosystem services that soil provides. For example, since 1850 35% of human caused green house gas emissions are linked to land use change. The Soil Science Society of America is a good source of of additional information.Bulk density is an important property of soil. Soil is a mixture of mineral particles, organic material and open spaces known as pores. The size and distribution of the pores affect how water is stored and how nutrients move through the soil. When a soil is compacted it looses pore space and bulk density increases resulting in lower water storage and higher runoff.Dataset SummaryThis layer provides access to a 30 arc-second (roughly 1 km) cell-sized raster with attributes related to the density of soil derived from the Harmonized World Soil Database v 1.2. The values in this layer are for the dominant soil in each mapping unit (sequence field = 1).Attribute values for topsoil (0-30 cm) and subsoil (0-100 cm) are provided for bulk density (derived from available analyzed data) and reference bulk density (statistical estimate based on soil texture). The data are in units of kg/dm3. Topsoil Reference Bulk DensityTopsoil Bulk Density Subsoil Reference Bulk DensitySubsoil Bulk DensityThe layer is symbolized with the Topsoil Bulk Density field.The document Harmonized World Soil Database Version 1.2 provides more detail on the difference between bulk density and reference bulk density.Other attributes contained in this layer include:Soil Mapping Unit Name - the name of the spatially dominant major soil groupSoil Mapping Unit Symbol - a two letter code for labeling the spatially dominant major soil group in thematic mapsData Source - the HWSD is an aggregation of datasets. The data sources are the European Soil Database (ESDB), the 1:1 million soil map of China (CHINA), the Soil and Terrain Database Program (SOTWIS), and the Digital Soil Map of the World (DSMW).Percentage of Mapping Unit covered by dominant componentObstacles to Roots - Depth to obstacles to roots in 6 classes. Only in the European Soil Database, not available for other regions.More information on the Harmonized World Soil Database is available here.Other layers created from the Harmonized World Soil Database are available on ArcGIS Online:World Soils Harmonized World Soil Database – ChemistryWorld Soils Harmonized World Soil Database - Exchange CapacityWorld Soils Harmonized World Soil Database – GeneralWorld Soils Harmonized World Soil Database – HydricWorld Soils Harmonized World Soil Database – TextureThe authors of this data set request that projects using these data include the following citation:FAO/IIASA/ISRIC/ISSCAS/JRC, 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria.What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. The source data for this layer are available here.This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started follow these links:Living Atlas Discussion GroupSoil Data Discussion GroupThe Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.

  20. G

    Soil Groups

    • canwin-datahub.ad.umanitoba.ca
    • catalogue.arctic-sdi.org
    • +6more
    esri rest, html, wms
    Updated Mar 26, 2025
    + more versions
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    Government of Alberta (2025). Soil Groups [Dataset]. https://canwin-datahub.ad.umanitoba.ca/data/dataset/7f120a3d-ab9d-4731-b2f4-b1b8f1fea7af
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    html, wms, esri restAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    Government of Alberta
    License

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

    Time period covered
    Jan 1, 1995
    Description

    This map displays the distribution of the main soil types found within the province of Alberta. The distribution pattern of soils in Alberta is strongly linked to climate and parent materials. Climate affects the location of different soil groups. The driest area in southeastern Alberta is represented by the presence of Brown Chernozems. As one proceeds north and west, the soils and associated vegetation reflect the increase in available moisture.In Alberta, Organic soils generally occur in association with Luvisolic soils. These soils form under wet conditions where the organic layer (greater than 30% organic matter) accumulates faster than it decomposes. The organic layer varies in thickness from 40 to 160+ cm, and under natural conditions, the water table is at or near the surface. In some areas of the province, Organic soils may be artificially drained and used for agricultural production. This resource was created in 2002 using ArcGIS.

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UN World Environment Situation Room (2022). USA SSURGO - Soil Hydrologic Group [Dataset]. https://data.unep.org/app/dataset/wesr-arcgis-wm-usa-ssurgo---soil-hydrologic-group

USA SSURGO - Soil Hydrologic Group

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 9, 2022
Dataset provided by
UN World Environment Situation Room
Area covered
United States
Description

When rain falls over land, a portion of it runs off into stream channels and storm water systems while the remainder infiltrates into the soil or returns to the atmosphere directly through evaporation.Physical properties of soil affect the rate that water is absorbed and the amount of runoff produced by a storm. Hydrologic soil group provides an index of the rate that water infiltrates a soil and is an input to rainfall-runoff models that are used to predict potential stream flow.For more information on using hydrologic soil group in hydrologic modeling see the publication Urban Hydrology for Small Watersheds (Natural Resources Conservation Service, United States Department of Agriculture, Technical Release–55).Dataset SummaryPhenomenon Mapped: Soil hydrologic groupUnits: ClassesCell Size: 30 metersSource Type: DiscretePixel Type: Unsigned integerData Coordinate System: USA Contiguous Albers Equal Area Conic USGS version (contiguous US, Puerto Rico, US Virgin Islands), WGS 1984 Albers (Alaska), Hawaii Albers Equal Area Conic (Hawaii), Western Pacific Albers Equal Area Conic (Guam, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American Samoa)Mosaic Projection: Web Mercator Auxiliary SphereExtent: Contiguous United States, Alaska, Hawaii, Puerto Rico, Guam, US Virgin Islands, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American SamoaSource: Natural Resources Conservation ServicePublication Date: December 2021ArcGIS Server URL: https://landscape11.arcgis.com/arcgis/Data from the gNATSGO database was used to create the layer for the contiguous United States, Alaska, Puerto Rico, and the U.S. Virgin Islands. The remaining areas were created with the gSSURGO database (Hawaii, Guam, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American Samoa).This layer is derived from the 30m (contiguous U.S.) and 10m rasters (all other regions) produced by the Natural Resources Conservation Service (NRCS). The value for hydrologic group is derived from the gSSURGO map unit aggregated attribute table field Hydrologic Group - Dominant Conditions (hydgrpdcd).The seven classes of hydrologic soil group followed by definitions:Group A - Group A soils consist of deep, well drained sands or gravelly sands with high infiltration and low runoff rates.Group B - Group B soils consist of deep well drained soils with a moderately fine to moderately coarse texture and a moderate rate of infiltration and runoff.Group C - Group C consists of soils with a layer that impedes the downward movement of water or fine textured soils and a slow rate of infiltration.Group D - Group D consists of soils with a very slow infiltration rate and high runoff potential. This group is composed of clays that have a high shrink-swell potential, soils with a high water table, soils that have a clay pan or clay layer at or near the surface, and soils that are shallow over nearly impervious material.Group A/D - Group A/D soils naturally have a very slow infiltration rate due to a high water table but will have high infiltration and low runoff rates if drained.Group B/D - Group B/D soils naturally have a very slow infiltration rate due to a high water table but will have a moderate rate of infiltration and runoff if drained.Group C/D - Group C/D soils naturally have a very slow infiltration rate due to a high water table but will have a slow rate of infiltration if drained.What can you do with this Layer? This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "soil hydrologic group" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "soil hydrologic group" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.

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