HAL (France)
open access
Mapping soil particle fractions by training digital soil mapping models with surrogate measurements obtained from laboratory and satellite Vis-NIR spectral data
Digital Soil Mapping (DSM) is widely used to generate spatial soil information, but its accuracy is often limited by sparse field observation. To overcome this limitation, less costly soil data on soil properties (surrogate data) can be added for densifying the spatial sampling of DSM model inputs.
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