TY  - Data
T1  -  A cloud-free MODIS NDSI dataset  for China(2001–2020) 
A1  - lxh
A1  - shf
DO  - 10.5281/zenodo.5644386
PY  - 2023
DA  - 2023-09-22
PB  - National Cryosphere Desert Data Center
AB  - In this study, a spatiotemporal adaptive fusion method (STAR) that comprehensively considers spatiotemporal background information was used to generateThe cloudless Terra Aqua MODIS NDSI dataset in China for the past 20 years. STAR NDSI data generally has the following advantages (1)This dataset has been running for 20 consecutive years, which is the shortest period for long-term hydrological and climate datasets. (2) Cloudless datasets can accurately estimateCalculate the dynamic snow cover, which is consistent with the depth of snow cover in place and the height of the NDSI map of the Earth's remote sensing satellite. Specifically, STAR NDSIThe collection eliminates cloud pollution and greatly improves the overall performance of the TAC NDSI dataset. Therefore, this dataset can be used asThe basic dataset for hydrological and climate modeling, used to explore various key environmental issues.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/9b551c50-7501-47b4-b73c-0ce1b62cf37c
ER  -