High‐Resolution Prediction of Spatial Distribution of Soil Thickness in Areas With Heterogeneous Soil Parent Materials: Machine Learning Methods and Variable Optimisation
Soil thickness is an important indicator for evaluating soil production and ecosystem support functions. However, traditional field surveys cannot characterise the spatial distribution of soil thickness with high resolution. Although machine learning models that integrate multiple environmental variables offer a prom...