Soil Moisture Retrieval from Multi-GNSS Reflectometry on FY-3E GNOS-II by Land Cover Classification

Author:

Yin Cong1234,Huang Feixiong1234ORCID,Xia Junming1234,Bai Weihua12345,Sun Yueqiang12345,Yang Guanglin6,Zhai Xiaochun6,Xu Na6,Hu Xiuqing6,Zhang Peng6ORCID,Wang Jinsong6,Du Qifei1234,Wang Xianyi1234,Cai Yuerong1234

Affiliation:

1. National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

2. Beijing Key Laboratory of Space Environment Exploration, Chinese Academy of Sciences, Beijing 100190, China

3. Joint Laboratory on Occultations for Atmosphere and Climate, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

4. Key Laboratory of Science and Technology on Space Environment Situational Awareness, Chinese Academy of Sciences, Beijing 100190, China

5. School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, China

6. National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China

Abstract

The reflected GNSS signals at the L-band is significantly advantageous in soil moisture monitoring as they are sensitive to the dielectric properties determined by the volumetric water content of topsoil, and they can penetrate vegetation, except in very dense forests. The Global Navigation satellite system Occultation Sounder (GNOS-II) with a reflectometry technique onboard the Fengyun-3E (FY-3E) satellite, launched on 5 July 2021, is the first mission that can receive reflected Global Navigation Satellite System (GNSS) signals from GPS, BeiDou and Galileo systems. This paper presents the soil moisture retrieval results from the FY-3E GNOS-II mission using 16 months of data. In this study, the reflectivity observations from different GNSS systems were firstly intercalibrated with some differences analyzed. Observations were also corrected by considering vegetation attenuation for 16 different land cover classifications. Finally, an empirical model was constructed for volumetric soil moisture (VSM) estimation, where the reflectivity of GNOS-II was linearly related to the SMAP reference soil moisture for each 36 km ease grid. The overall root-mean-square error of the retrieved soil moisture is 0.049 compared with the SMAP product, and 0.054 compared with the in situ data. The results of the three GNSS systems show similar levels of accuracy. This paper, for the first time, demonstrates the feasibility of global soil moisture retrieval using multiple GNSS signals.

Funder

National Natural Science Foundation of China and Shandong Province

National Natural Science Foundation of China

Youth Cross Team Scientific Research Project of the Chinese Academy of Sciences

Feng Yun 3 (FY-3) Global Navigation Satellite System Occultation Sounder

Manufacture Project led by the National Space Science Center, Chinese Academy of Sciences

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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