DisTrad Model for Thermal Sub-pixel Mapping in High Vegetation Area
DisTrad热像元分解模型运用于高植被覆盖区的问题及改进

This paper validates the applicability of DisTrad model for thermal sub-pixel mapping over south China.We found the index of NDVI would reach to saturate state in high biomass regions,and its sensitivity would also become decreased.In our study,we proposed to replace NDVI by EVI in DisTrad model for thermal sub-pixel mapping in South China area.The high\|resolution LST image (250 m) was got by the relationships between high-resolution EVI/NDVI and LST images,and the results were verified by co-temporal ASTER LST data with 90 m resolution.The results show that this method can reduce the computation time and remain sensitivity in high\|biomass areas.