Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands

Synthetic aperture radar (SAR) data have significant potential for soil moisture monitoring because of their high spatial resolution and independence from cloud coverage. However, it is challenging to retrieve soil moisture from SAR data over vegetated areas, as vegetation significantly affects back...

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Autori principali:	Zhen Wang, Tianjie Zhao, Jianxiu Qiu, Xuesheng Zhao, Rui Li, Shu Wang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Taylor & Francis Group 2021-01-01
Serie:	GIScience & Remote Sensing
Soggetti:	synthetic aperture radar soil moisture water cloud model oh model vegetation descriptor
Accesso online:	http://dx.doi.org/10.1080/15481603.2020.1857123
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