Multiresolution soil moisture products based on a spatially adaptive estimation model and CYGNSS data-Reference-Cited by-同舟云学术

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Multiresolution soil moisture products based on a spatially adaptive estimation model and CYGNSS data

Published:2024-02-20 Issue:1 Volume:61 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Jia Yan¹,Zou Jiaqi¹,Jin Shuanggen²³,Yan Qingyun²,Chen Yixiang¹,Jin Yan¹,Savi Patrizia⁴

Affiliation:

1. Department of Surveying and Geoinformatics, Nanjing University of Posts and Telecommunications, Nanjing, China

2. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China

3. Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, China

4. Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy

Funder

National Natural Science Foundation of China

Jiangsu Marine Science and Technology Innovation Project

Strategic Priority Research Program Project of the Chinese Academy of Sciences

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2024.2313812

Reference54 articles.

1. Time-Series Retrieval of Soil Moisture Using CYGNSS

2. Geographically Weighted Regression

3. Soil Moisture Content from GNSS Reflectometry Using Dielectric Permittivity from Fresnel Reflection Coefficients

4. Sensitivity of CyGNSS Bistatic Reflectivity and SMAP Microwave Radiometry Brightness Temperature to Geophysical Parameters Over Land Surfaces

5. Modeling the Spatiotemporal Association Between COVID‐19 Transmission and Population Mobility Using Geographically and Temporally Weighted Regression

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1. A novel global grid model for soil moisture retrieval considering geographical disparity in spaceborne GNSS-R;Satellite Navigation;2024-09-02

2. Review of GNSS-R Technology for Soil Moisture Inversion;Remote Sensing;2024-03-28

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