Quasi-global soil moisture and freeze-thaw retrieval using Fengyun-3G GNSS-R observations

Fengyun-3G (FY-3G) is one of the satellites in the Fengyun series, equipped with a Global Navigation Satellite System-Reflectometry (GNSS-R) payload. FY-3G has been operating successfully for several months and has accumulated sufficient observations. To explore the land remote sensing potential of FY-3G GNSS-R observations, this study conducted surface soil moisture (SM) and freeze-thaw (F/T) state retrievals using FY-3G GNSS-R observations. The results show that the overall root mean square error (RMSE) and correlation (R) of the FY-3G SM retrievals compared to the contemporaneous Soil Moisture Active Passive (SMAP) SM are 0.056 [Formula: see text]/[Formula: see text] and 0.91, respectively. The accuracy of the FY-3G F/T retrievals is 84.3%. In addition, independent stations similarly demonstrated the good performance of FY-3G observations for SM and F/T retrievals and showed that FY-3G and SMAP have comparable monitoring capabilities. This study successfully demonstrates the capability of FY-3G in SM and F/T monitoring. This will enlarge the range of the application of the Fengyun satellite for monitoring land parameters in the future.

Authors

Institutions

Publication Details

Journal
Geo-spatial Information Science
Published
2025-08-22
DOI
https://doi.org/10.1080/10095020.2025.2541074
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quasi-global soil moisture and freeze-thaw retrieval using Fengyun-3G GNSS-R observations

Dengkui Mei, Ziheng Wu, Fei Guo, Xiaohong Zhang et al.
Geo-spatial Information Science
Soil Moisture and Remote Sensing
article

Quasi-global soil moisture and freeze-thaw retrieval using Fengyun-3G GNSS-R observations

Dengkui Mei, Ziheng Wu, Fei Guo, Xiaohong Zhang, Zheng Li, Zhiyu Zhang, Wentao Yang, Yifan Zhu
article en

Abstract

Fengyun-3G (FY-3G) is one of the satellites in the Fengyun series, equipped with a Global Navigation Satellite System-Reflectometry (GNSS-R) payload. FY-3G has been operating successfully for several months and has accumulated sufficient observations. To explore the land remote sensing potential of FY-3G GNSS-R observations, this study conducted surface soil moisture (SM) and freeze-thaw (F/T) state retrievals using FY-3G GNSS-R observations. The results show that the overall root mean square error (RMSE) and correlation (R) of the FY-3G SM retrievals compared to the contemporaneous Soil Moisture Active Passive (SMAP) SM are 0.056 [Formula: see text]/[Formula: see text] and 0.91, respectively. The accuracy of the FY-3G F/T retrievals is 84.3%. In addition, independent stations similarly demonstrated the good performance of FY-3G observations for SM and F/T retrievals and showed that FY-3G and SMAP have comparable monitoring capabilities. This study successfully demonstrates the capability of FY-3G in SM and F/T monitoring. This will enlarge the range of the application of the Fengyun satellite for monitoring land parameters in the future.

Geo-spatial Information Science
Wuhan University (CN), Chinese Academy of Surveying and Mapping (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 80%
Soil Moisture and Remote Sensing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.