Regional and Global-Scale LULC Mapping by Synergetic Integration of NDVI From Optical Data and Degree of Polarization From SAR Data
This study presents a novel classification model, the Normalized Difference Vegetation Index (NDVI), degree of polarization (DOP), texture classification model (NDTCM), for both regional and global scales, utilizing a synergistic approach that combines the NDVI from optical data with the DOP and its associated texture from synthetic aperture radar