Articles | Volume 13, issue 10
https://doi.org/10.5194/essd-13-4711-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-13-4711-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
15 Oct 2021
Data description paper |
| 15 Oct 2021
| 15 Oct 2021
The NIEER AVHRR snow cover extent product over China – a long-term daily snow record for regional climate research
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
Guanghui Huang
College of Earth and Environmental Sciences, Lanzhou University,
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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Short summary
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...
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