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Earth System Science Data
Earth System Science Data
Articles | Volume 14, issue 7
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.
https://doi.org/10.5194/essd-14-3137-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 7
Data description paper
 | 
11 Jul 2022
Data description paper |  | 11 Jul 2022

STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001–2020) for China

Yinghong Jing, Xinghua Li, and Huanfeng Shen

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Cited articles

Aalstad, K., Westermann, S., and Bertino, L.: Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography, Remote Sens. Environ., 239, 111618, https://doi.org/10.1016/j.rse.2019.111618, 2020. 
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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.
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