Multi-Source Remote Sensing and Stacking Ensemble Learning for Vineyard Mapping and Inventory Updating in Arid Xinjiang
A multi-source remote-sensing framework for vineyard mapping and inventory updating by integrating Sentinel-1/2 data, terrain variables, growing-degree-day-derived agrothermal zones (ATZs), and seasonal-difference features demonstrates that multi-source feature integration and probability-based ensemble mapping can sup...