Snow parameter retrieval (SPR) algorithm for the GCOM-C/SGLI sensor: validation over the Greenland ice sheet

This paper presents a new snow parameter retrieval (SPR) algorithm for the Global Change Observation Mission-Climate/Second Generation Global Imager (GCOM-C/SGLI) instrument (2018-present). This algorithm combines accurate radiative transfer model (RTM) simulations and Scientific Machine Learning (S...

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發表在:	Frontiers in Environmental Science
Main Authors:	Nan Chen, Wei Li, Yongzhen Fan, Yingzhen Zhou, Teruo Aoki, Tomonori Tanikawa, Masashi Niwano, Masahiro Hori, Rigen Shimada, Sumito Matoba, Knut Stamnes
格式:	Article
語言:	英语
出版:	Frontiers Media S.A. 2025-05-01
主題:	SGLI snow remote sensing radiative transfer machine learning grain size
在線閱讀:	https://www.frontiersin.org/articles/10.3389/fenvs.2025.1541041/full