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Digital Soil Mapping (DSM) is an essential tool for soil survey and agricultural planning. It involves creating and populating spatial soil information using field and laboratory observations, often referred to as "predictive soil mapping" or "pedometric mapping." DSM provides detailed information on various soil properties, including soil pH, soil moisture content, soil organic carbon, electrical conductivity (EC), cation exchange capacity (CEC), and nutrient concentrations such as nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), sulfur (S), and other micronutrients. It also measures gypsum concentration, base saturation percentage, heavy metal concentrations, and parent material characteristics. DSM utilizes digital elevation models, geostatistical modeling, and spatial interpolation of collected soil samples from a specific area. Instruments like the Portable X-ray Fluorescence Spectrometer (PXRF), combined with polynomial algorithms and various 'R' software packages, are integral to DSM. Geostatistical modeling tools such as kriging, splines, simulation options, covariance functions, semivariance functions, and variograms are employed for spatial interpolation of collected data to generate digital soil maps.
Hussain et al. (Tue,) studied this question.