“Production of soil class or property maps using GIS and/or Remote Sensing software” – anonymous
Digital soil mapping (DSM) represents “the creation and population of spatial soil information systems by the use of field and laboratory observational methods coupled with spatial and non-spatial soil inference systems” (Digital Soil Mapping: An Introductory Perspective 2007. Edited by P. Lagacherie, A. B. McBratney & M. Voltz, 2007 Elsevier 600 pages ISBN 0-444-52958-6). Soil science, geographic information science, quantitative methods (statistics and geostatistics) and cartography are combined within the DSM framework. DSM methods are used to estimate the spatial distribution of soil classes (e.g., soil series) and/or soil properties (e.g., soil organic matter), and can be employed at various scales (from individual fields to countries), and have proven valuable for developing more quantitative, more accurate, and more precise soil maps.
NCSS Digital Soil Mapping
The National Soil Survey Center – Geospatial Research Unit has identified DSM as an important area of focus in support of soil survey activities. Numerous DSM research projects have been supported by the GRU. Numerical classification (hierarchical and fuzzy), spatial and temporal interpolation (geostatistics, wavelets), sampling design (model vs. design based), statistical analysis (visualization, ordination, regression, and classification), uncertainty analysis (error propagation, accuracy assessment), and incorporation of auxillary data (proximal and remotely sensed imagery, soil-terrain modeling) are among the methods used to develop predictive maps of soil classes and soil properties.
The Essex County, Vermont Raster Soil Survey (RSS) Project ArcGIS file geodatabase can be obtained via free download from the USDA-NRCS Geospatial Data Gateway (GDG) website located at https://gdg.sc.egov.usda.gov/