Machine Learning-Based Spatial Mapping of Soil Organic Carbon and Its Climatic and Topographic Drivers in the Arid Regions
Digital soil mapping (DSM) is an effective approach for assessing soil organic carbon (SOC) at regional scales. With the increasing availability of geospatial datasets, a growing number of environmental covariates have been incorporated into SOC mapping. However, the influence of covariate selection on model predictive...