Qiao Li

Interpretable Multi-Year Winter Wheat Mapping with Sentinel-1/2 Time Series: SHAP-Based Feature Selection and Bayesian-Optimized Machine Learning

Accurate winter wheat mapping is important for interannual planting-area monitoring, yet models developed independently for each year require repeated sample collection, feature selection, and parameter tuning. This study developed an interpretable cross-year transfer approach for winter wheat mapping in the Tailan Riv...