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

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...

Full description

Bibliographic Details
Main Authors: Zhen Wang, Tianjie Zhao, Jianxiu Qiu, Xuesheng Zhao, Rui Li, Shu Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:GIScience & Remote Sensing
Subjects:
synthetic aperture radar
soil moisture
water cloud model
oh model
vegetation descriptor
Online Access:http://dx.doi.org/10.1080/15481603.2020.1857123

Internet

http://dx.doi.org/10.1080/15481603.2020.1857123

Similar Items