Soil Moisture Estimation based on the Distributed Scatterers Adaptive Filter over the QTP Permafrost Region using Sentinel-1 and High-resolution TerraSAR-X Data-Reference-Cited by-同舟云学术

Soil Moisture Estimation based on the Distributed Scatterers Adaptive Filter over the QTP Permafrost Region using Sentinel-1 and High-resolution TerraSAR-X Data

Published:2020-12-02 Issue:3 Volume:42 Page:902-928
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Zhang Xuefei¹²,Zhang Hong¹,Wang Chao¹²,Tang Yixian¹,Zhang Bo¹,Wu Fan¹,Wang Jing¹²,Zhang Zhengjia³

Affiliation:

1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute Chinese Academy of Sciences, Beijing, China

2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

3. Faculty of Information Engineering, China University of Geosciences, Wuhan, China

Funder

National Natural Science Foundation of China

the 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/10.1080/01431161.2020.1820616

Reference84 articles.

1. Retrieving surface soil moisture at high spatio-temporal resolution from a synergy between Sentinel-1 radar and Landsat thermal data: A study case over bare soil

2. Modeling soil parameters using hyperspectral image reflectance in subtropical coastal wetlands

3. Anderson Darling and Modified Anderson Darling Tests for Generalized Pareto Distribution

4. Vegetation modeled as a water cloud

5. Optimum Surface Roughness to Parameterize Advanced Integral Equation Model for Soil Moisture Retrieval in Prairie Area Using Radarsat-2 Data

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