For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.Information for SOILS data layer was derived from the Private Forest Land Grading system (PFLG) and subsequent soil surveys. PFLG was a five-year mapping program completed in 1980 for the purpose of forestland taxation. It was funded by the Washington State Department of Revenue. The Department of Natural Resources, Soil Conservation Service (now known as the Natural Resources Conservation Service or NRCS), USDA Forest Service and Washington State University conducted soil mapping cooperatively following national soil survey standards. Private lands having the potential of supporting commercial forests were surveyed along with interspersed small areas of State lands, Indian tribal lands, and federal lands. Because this was a cooperative soil survey project, agricultural and non-commercial forestlands were included within some survey areas. After the Department of Natural Resources originally developed its geographic information system, digitized soil map unit delineations and a few soil attributes were transferred to the system. Remaining PFLG soil attributes were later added and are now available through associated lookup tables. SCS (NRCS) soils data on agricultural lands also have been subsequently added to this data layer. The SOILS data layer includes approximately 1,100 townships with wholly or partially digitized soils data. State and private lands which have the potential of supporting commercial forest stands were surveyed. Some Indian tribal and federal lands were surveyed. Because this was a cooperative soils survey project, agricultural and non-commercial forestlands were also included within some survey areas. After the Department of Natural Resources originally developed its geographic information system, digitized soils delineations and a few soil attributes were transferred to the system. Remaining PFLG soil attributes were added at a later time and are now available through associated lookup tables. SCS soils data on agricultural lands also have subsequently been added to this data layer. This layer includes approximately 1, 100 townships with wholly or partially digitized soils data (2,101 townships would provide complete coverage of the state of Washington).-

The soils_sv resolves one to many relationships and as such is one of those special "DNR" spatial views ( ie. is implemented similar to a feature class). Column names may not match between SOILS_SV and the originating datasets. Use limitations

This Spatial View is available to Washingotn DNR users and those with access to the Washington State Uplands IMS site.

The following cautions only apply to one-to-many and many-to-many spatial views! Use these in the metadata only if the SV is one-to-many or many-to-many.

CAUTIONS: Area and Length Calculations: Use care when summarizing or totaling area or length calculations from spatial views with one-to-many or many-to-many relationships. One-to-many or many-to-many relationships between tabular and spatial data create multiple features in the same geometry. In other words, if there are two or more records in the table that correspond to the same feature (a single polygon, line or point), the spatial view will contain an identical copy of that feature's geometry for every corresponding record in the table. Area and length calculations should be performed carefully, to ensure they are not being exaggerated by including copies of the same feature's geometry.

Symbolizing Spatial Features:
Use care when symbolizing data in one-to-many or many-to-many spatial views. If there are multiple attributes tied to the same feature, symbolizing with a solid fill may mask other important features within the spatial view. This can be most commonly seen when symbolizing features based on a field with multiple table records.

Labeling Spatial Features: Spatial views with one-to-many or many-to-many relationships may present duplicate labels for those features with multiple table records. This is because there are multiple features in the same geometry, and each one receives a label.Soils Metadata

Soil-landscape mapping covering Western Australia at the best available scale (Version 05.02). It is a compilation of various surveys at different scales varying between 1:20,000 and 1:3,000,000. Mapping conforms to a nested hierarchy established to deal with the varying levels of information resulting from the variety of scales in mapping. For further information refer to Department of Agriculture Resource Management Technical Reports RMTR No. 280 and RMTR No. 313. Land capability and land quality attribution is included, refer to Department of Agriculture Resource Management Technical Report No. 298 for a description of the methodology employed.

This archive documents a Soil Water Balance (SWB) model of the 895-square mile upper Chehalis River Basin upstream of Grand Mound, Washington. The SWB model used to estimate a water budget (including precipitation, interception, groundwater recharge, surface runoff, and groundwater pumping) for the upper Chehalis River Basin during October 2001–September 2015.

Soil-landscape mapping covering Western Australia at the best available scale (Version February 2019) attributed with the proportional allocation of WA Soil Groups to each map unit. It is a compilation of various surveys at different scales varying between 1:20,000 and 1:3,000,000. Show full description

Soils mapped in raster format with 90-m pixels. The soil classes are Western Australian Soil Groups. The soil type rasters were derived from the conventional soil landscape mapping (polygon maps) in 2013. The probability of occurrence of each soil class was predicted per pixel; the three most probable classes are available here, and individual class probabilities are available on request.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

This spatial data set was created by the U.S. Geological Survey (USGS) to represent the extent of soils with low phosphorus retention potential in the Pacific Northwest region of the United States (Hydro Region 17; Major River Basin 7 (MRB7)).

Soil-landscape mapping covering Western Australia at the systems level of the soil-landscape mapping hierarchy. Systems derived from soil-landscape mapping (best available) Version April 2018. Intended scale of usage 1:250, 000. Mapping conforms to a nested hierarchy established to deal with the varying levels of information resulting from the variety of scales in mapping. For further information refer to Department of Agriculture Resource Management Technical Reports No. 280 and 313.

Soil association designation polygons from the USDA Soil Conservation Service. This data is not as detailed as the soils data from the National Cooperative Soil Survey so please read metadata for additional information (https://matterhorn.co.pierce.wa.us/GISmetadata/pdbplan_soils_associations.html). Any data download constitutes acceptance of the Terms of Use (https://matterhorn.co.pierce.wa.us/Disclaimer/PierceCountyGISDataTermsofUse.pdf).

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

This archive documents a Soil Water Balance (SWB) model of the Naval Base at Keyport, Washington and immediate surrounding environs. The SWB model is used to estimate surface processes of a water budget including precipitation, interception, evapotranspiration, surface runoff, etc.) for the Keyport area during January 1980 - December 2015.

Soil water storage is a land quality which may impact upon a variety of agricultural land uses and is based on analysis and interpretation of the best available soil-landscape mapping dataset (DPIRD-027). See DAFWA Resource Management Technical Report 298 for a description of the qualities assessed and the methodology involved. Show full description

This archive documents a Soil-Water Balance (SWB) model of the Puyallup and Chambers-Clover Basins in Pierce and King Counties, Washington. The SWB model used to estimate a water budget and recharge for input into a groundwater flow model of the Puyallup and Chamber-Clover Basins between January 2005 and December 2015.

This set of soils data consists of mineral depth, and three layers each of sand, clay, and rock fragment fractions.

Salinity risk mapping derived from land quality attribution associated with soil-landscape mapping at the subsystem/phase level. See Resource Management Technical Report 298, Section 2.8, Department of Agriculture, 2005. This version updates two previous versions (metadata dates 08/09/2003 and 29/04/2004). Show full description

This data release documents a Soil Water Balance (SWB) model of the the White River basin, Washington, and immediate surrounding environs. The SWB model is used to estimate surface components of a water budget including precipitation, interception, evapotranspiration, and surface runoff for the upper White River basin area from January 1999 to December 2020

This soils feature class is a cleaned and edited version of WA Department of Natural Resources and Soil Conservation Service soils coverage for Washington State received in December of 2000. Soil polygons were merged to eliminate township lines from original coverage after its convertion to a feature class. Slivers, overlaps, and other topological discrepancies were cleaned, and DNR soil map unit names and identifier symbol ('IDENTIFIER') were added to the attribute table. Polygons were subsequently dissolved by 'Identifier', and associated info lookup tables (SOILS_CLASS, SOILS_COMPLX, SOILS_COMB, SOILS_MAIN, SOILS_PFLG) then joined to the polygon attribute table. _ Information for the soils data layer was derived from the Private Forest Land Grading system (PFLG) and subsequent soil surveys. PFLG was a five year mapping program completed in 1980 for the purpose of forest land taxation. It was funded by the Washington State Department of Revenue in cooperation with the Department of Natural Resources Soil Conservation Service (USCS), USDA Forest Service and Washington State University. State and private lands which had the potential of supporting commercial forest stands were surveyed. Some Indian tribal and federal lands were surveyed. Because this was a cooperative soils survey project, agricultural and non-commercial forest lands were also included within some survey areas. After the DNR originally developed its GIS, digitized soils delineations and a few soil attributes were transferred to the system. Remaining PFLG soils attributes were added at a later time and are available through associated lookup tables. SCS soils data on agricultural lands also have subsequently been added to this data layer. Approximately 1100 townships wholly or partially contain digitized soils data (2101 townships would provide complete coverage of the state of Washington). - "Detailed Layer Description", Washington State Department of Natural Resources Geographic Information System, 1998. - _

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.

This dataset contains biocrust lichen and moss cover at 186 plots at Horse Heaven Hills in Washington, USA. These data were measured by Jeanne Ponzetti in 1999 and remeasured by Heather Root in 2020. In addition to the biocrust data, we include site data such as elevation, location, wildfire history, and cover classes of dominant plants, rock and soil.