Using Robust Regression to Retrieve Soil Moisture from CyGNSS Data

Accurate global soil moisture (SM) data are crucial for modeling land surface hydrological cycles and monitoring climate change. Spaceborne global navigation satellite system reflectometry (GNSS-R) has attracted extensive attention due to its unique advantages, such as faster revisit time, lower pay...

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Auteurs principaux:	Qi Liu, Shuangcheng Zhang, Weiqiang Li, Yang Nan, Jilun Peng, Zhongmin Ma, Xin Zhou
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2023-07-01
Collection:	Remote Sensing
Sujets:	soil moisture CyGNSS reflectivity vegetation roughness
Accès en ligne:	https://www.mdpi.com/2072-4292/15/14/3669
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