Improving Basin wide drone monitoring for lignum

This study integrates deep learning-based semantic segmentation and sub-pixel classification methods to extract lignum spatial distribution under two ecological conditions: vigorous and dormant, by combining Sentinel-2 Level-2A surface reflectance data (10 m), EarthDaily multispectral products (5 m) and ultra-high-resolution drone RGB imagery (about 1 cm)