%0 Dataset
%T  A cloud-free MODIS NDSI dataset  for China(2001–2020) 
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/9b551c50-7501-47b4-b73c-0ce1b62cf37c
%W NCDC
%R 10.5281/zenodo.5644386
%A lxh
%A shf
%K China;modis;NDSI
%X This dataset utilizes a spatiotemporal adaptive fusion method (STAR) that comprehensively considers spatiotemporal background information to generate a cloud free Terra Aqua MODIS NDSI dataset from China over the past 20 years. STAR NDSI data generally has the following advantages: (1) a continuous 20-year dataset, which is the shortest period of long-term hydrological and climatic datasets. (2) The cloud free dataset can accurately estimate snow dynamics, which is consistent with the depth of snow in situ and the height of NDSI satellite maps. In addition, STAR NDSI collection eliminates cloud pollution, greatly improving the overall performance of the TAC NDSI dataset. Therefore, this dataset can serve as a foundational dataset for hydrological and climate modeling, used to explore various key environmental issues.