Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3137-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-3137-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001–2020) for China
Yinghong Jing
School of Resource and Environmental Sciences, Wuhan University, Wuhan
430079, China
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan 430079, China
Huanfeng Shen
CORRESPONDING AUTHOR
School of Resource and Environmental Sciences, Wuhan University, Wuhan
430079, China
Collaborative Innovation Centre of Geospatial Technology, Wuhan
430079, China
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Short summary
Snow variation is a vital factor in global climate change. Satellite-based approaches are effective for large-scale environmental monitoring. Nevertheless, the high cloud fraction seriously impedes the remote-sensed investigation. Therefore, a recent 20-year cloud-free snow cover collection in China is generated for the first time. This collection can serve as a basic dataset for hydrological and climatic modeling to explore various critical environmental issues.
Snow variation is a vital factor in global climate change. Satellite-based approaches are...
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