Moderate-resolution snow depth product retrieval from passive microwave brightness data over Xinjiang using machine learning approach

Author:

Liu Yang1234,Yang Jinming1234,Chen Xi3,Yao Junqiang5,Li Lanhai1234,Qiu Yubao6

Affiliation:

1. State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, People’s Republic of China

2. Tianshan Station for Snowcover and Avalanche Research, Chinese Academy of Sciences, Xinyuan, People’s Republic of China

3. Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, People’s Republic of China

4. University of Chinese Academy of Sciences, Beijing, People’s Republic of China

5. Institute of Desert Meteorology, China Meteorological Administration, Urumqi, People’s Republic of China

6. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China

Funder

National Natural Science Foundation of China

National Science and Technology Basic Resources Survey Program of China

Third Xinjiang Scientific Expedition Program

Youth Innovation Promotion Association, CAS

K.C.Wong Education Foundation

Publisher

Informa UK Limited

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