Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach
Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) w...