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Review Sep 2026

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...

Kai-Ning Lv, Zhi-Qiang Yin, Jian-Yu Liu et al. · 0 citations

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