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Digital soil mapping (DSM) in soil science, also referred to as predictive soil mapping [1] or pedometric mapping, is the computer-assisted production of digital maps of soil types and soil properties. Soil mapping, in general, involves the creation and population of spatial soil information by the use of field and laboratory observational ...
Soil map from "Geography of Ohio," 1923. A soil map is a geographical representation showing diversity of soil types or soil properties (soil pH, textures, organic matter, depths of horizons etc.) in the area of interest. [1] It is typically the result of a soil survey inventory, i.e. soil survey.
Pedometric mapping, or statistical soil mapping, is data-driven generation of soil property and class maps that is based on use of statistical methods. [1] [2] [3] Its main objectives are to predict values of some soil variable at unobserved locations, and to access the uncertainty of that estimate using statistical inference i.e. statistically optimal approaches.
Primary data for the soil survey are acquired by field sampling and by remote sensing. Remote sensing principally uses aerial photography, but LiDAR and other digital techniques are steadily gaining in popularity. In the past, a soil scientist would take hard-copies of aerial photography, topographic maps, and mapping keys into the field with them.
English: This is the standard form that soil scientists in the United States complete when describing a soil profile or pedon. Information recorded on the form includes the soil location, landscape, site position, vegetation, and soil morphology including horizons, texture, color, structure, redox features, and more.
The European Soil Database may be downloaded from the European Soil Data Center . [1] The soil raster data files are accompanied by as many static soil maps (PDF Format, A3), which allow the user to have a quick overview of the distribution of soil characteristics in a spatial way.
SoilGrids1km is a collection of updatable soil property and class maps of the world at a resolution of 1 km produced using state-of-the-art model-based statistical methods. Presents estimates (means and 90% confidence intervals) for pH, texture (sa, si, cl), organic carbon and more for 6 depth layers up to 2 m depth. Harmonized World Soil Database
The EuDASM is a common platform established by Joint Research Centre in Italy of the European Commission and the International Soil Reference and Information Centre(ISRIC) of Wageningen University in The Netherlands to store soil and related maps in digital format and to provide free access to the global community (Researchers, University ...