Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands-Reference-Cited by-同舟云学术

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

Published:2020-12-30 Issue:1 Volume:58 Page:48-67
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Wang Zhen¹,Zhao Tianjie²^ORCID,Qiu Jianxiu³^ORCID,Zhao Xuesheng¹^ORCID,Li Rui²,Wang Shu⁴

Affiliation:

1. College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing, China

2. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China

4. National Meteorological Information Center, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2020.1857123

Reference75 articles.

1. Vegetation modeled as a water cloud

2. Semi-empirical calibration of the IEM backscattering model using radar images and moisture and roughness field measurements

3. Calibration of the Integral Equation Model for SAR data in C‐band and HH and VV polarizations

4. An empirical calibration of the integral equation model based on SAR data, soil moisture and surface roughness measurement over bare soils

5. Evaluation of radar backscatter models IEM, OH and Dubois using experimental observations

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