Heihe Remote Sensing Experimental Research Station, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Heihe Remote Sensing Experimental Research Station, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Wenzheng Ji
Heihe Remote Sensing Experimental Research Station, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Xingliang Sun
Heihe Remote Sensing Experimental Research Station, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Engineering Laboratory for National Geographic State Monitoring,
Lanzhou Jiaotong University, Lanzhou 730070, China
Qin Zhao
Heihe Remote Sensing Experimental Research Station, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Hongyu Zhao
Heihe Remote Sensing Experimental Research Station, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Jian Wang
Heihe Remote Sensing Experimental Research Station, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Hongyi Li
Heihe Remote Sensing Experimental Research Station, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Qian Yang
School of Geomatics and Prospecting Engineering, Jilin Jianzhu
University, Changchun 130118, China
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360
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EndNote: 360
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Cumulative views and downloads
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Total article views: 6,027 (including HTML, PDF, and XML)
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4,702
1,169
156
6,027
195
347
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Total: 6,027
BibTeX: 195
EndNote: 347
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616
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937
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Viewed (geographical distribution)
Total article views: 6,964 (including HTML, PDF, and XML)
Thereof 6,637 with geography defined
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Total article views: 6,027 (including HTML, PDF, and XML)
Thereof 5,807 with geography defined
and 220 with unknown origin.
Total article views: 937 (including HTML, PDF, and XML)
Thereof 830 with geography defined
and 107 with unknown origin.
Long-term snow cover data are not only of importance for climate research. Currently China still lacks a high-quality snow cover extent (SCE) product for climate research. This study develops a multi-level decision tree algorithm for cloud and snow discrimination and gap-filled technique based on AVHRR surface reflectance data. We generate a daily 5 km SCE product across China from 1981 to 2019. It has high accuracy and will serve as baseline data for climate and other applications.
Long-term snow cover data are not only of importance for climate research. Currently China still...
