Skip Navigation

Digital Soil Mapping Team


Digital Soil Mapping - The generation of geographically referenced soil databases based on quantitative relationships between spatially explicit environmental data and measurements made in the field and laboratory (McBratney et al., 2003); the spatial prediction of soil classes or properties from point data using a statistical algorithm. For general information on Digital Soil Mapping, please click here.

Graphic showing training data plus covariates generates a predictive model which equals a soil map.

Main photo for the Digital Soil Mapping Team.

Raster soil survey of the Boundary Waters Canoe Area Wilderness showing predicted soil classes across the landscape (10m pixel resolution).
Digital Soil Mapping Charges button.
  • Coordinate DSM activities across the Soil and Plant Science Division
  • Identify training needs
    DSM training curriculum (PDF; 80 KB)
  • Identify needs to update standards and propose solutions
    NSSH Part 648 – Digital Soil Mapping – Raster Products
  • Initiate annual field weeks to investigate soil-landscape relationships in selected DSM project areas
  • Assemble existing data
  • Identify gaps
  • Produce raster-based soil data and information
Digital Soil Mapping Sub-Teams button.
Digital Soil Mapping Sub-Webinars button.
Digital Soil Mapping Contact button. Suzann Kienast-Brown, Soil Scientist (GIS Specialist), Bozeman, Montana
Tom D’Avello, Soil Scientist, GRU, Morgantown, West Virginia
Dr. James Thompson, Professor, WVU, Morgantown, West Virginia

Poster for the Digital Soil Mapping Team.

Click on the poster for a larger view.