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Digital soil assessment (DSA) is the application of interpretations to digital soil mapping (DSM).
This drives the worldwide development of digital soil mapping.
Existing sample data are important for digital soil mapping.
Current digital soil mapping (DSM) methods have limitations.
Methods to validate these digital soil maps are needed.
Specific research aims were (1) to identify important predictors; (2) to develop digital soil maps; (3) to assess land potentials using digital soil maps.
First, we briefly described the rise of digital soil mapping and outlined important milestones and their influence, and main paradigms in digital soil mapping.
Recently, there has been a marked increase across the world in the demand for digital soil information, in which digital soil mapping research plays a key role.
Landform delineation has long been used in digital soil mapping to infer soil-relevant information.
Digital soil mapping (DSM) can predict the spatial distribution of soil classes.
The results indicate an important strategy to assist digital soil mapping in vegetated areas.
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