Next Article in Journal
Multi-Decadal Shoreline Variability Along the Cap Ferret Sand Spit (SW France) Derived from Satellite Images
Next Article in Special Issue
Multi-Baseline InSAR DEM Reconstruction and Multi-Source Performance Evaluation Based on the PIESAT-1 “Wheel” Constellation
Previous Article in Journal
An AI-Based Nested Large–Small Model for Passive Microwave Soil Moisture and Land Surface Temperature Retrieval Method
Previous Article in Special Issue
A Novel Algorithm for Estimating the Sand Dune Density of the Taklimakan Desert Based on Remote Sensing Data
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Spaceborne GNSS Reflectometry for Vegetation and Inland Water Monitoring: Progress, Challenges, Opportunities, and Potential

by
Jiaxi Xie
1,
Jinwei Bu
1,2,*,
Huan Li
1 and
Qiulan Wang
1
1
Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China
2
Yunnan Key Laboratory of Intelligent Monitoring and Spatiotemporal Big Data Governance of Natural Resources, Kunming 650093, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(7), 1199; https://doi.org/10.3390/rs17071199
Submission received: 10 February 2025 / Revised: 16 March 2025 / Accepted: 21 March 2025 / Published: 27 March 2025

Abstract

Global navigation satellite system reflectometry (GNSS-R) uses the reflection characteristics of navigation satellite signals reflected from the earth’s surface to provide an innovative tool for remote sensing, especially for monitoring surface and atmospheric environmental variables, such as wind speed, soil moisture, vegetation, and sea ice parameters. This paper focuses on the current application and future potential of spaceborne GNSS-R in vegetation remote sensing and the retrieval of inland water environmental and physical parameters. This paper reviews the technical progress of GNSS-R in detail, from early feasibility studies to multiple application examples at this stage, from the United Kingdom Disaster Monitoring Constellation (UK-DMC) satellite in 2003 to other recent GNSS-R missions. These cases demonstrate the unique advantages of GNSS-R in terms of global coverage, low cost, and real-time monitoring. This paper explores the application of GNSS-R technology in vegetation parameters and inland water monitoring, especially its potential in vegetation parameters and surface water monitoring applications. The article also mentioned that the accuracy and efficiency of parameter retrieval can be significantly improved by improving models and algorithms, such as using neural networks and data fusion technology. Finally, the article points out the future direction of spaceborne GNSS-R technology in vegetation remote sensing and the retrieval of inland water environment and physical parameters, including expanding its application areas to a broader range of environmental monitoring and resource management. It emphasized its essential role in monitoring the global ecosystem and monitoring water resources.
Keywords: spaceborne GNSS-R; inland water monitoring; retrieval of environmental physical parameters; ecological protection; resource management; environmental monitoring spaceborne GNSS-R; inland water monitoring; retrieval of environmental physical parameters; ecological protection; resource management; environmental monitoring

Share and Cite

MDPI and ACS Style

Xie, J.; Bu, J.; Li, H.; Wang, Q. Spaceborne GNSS Reflectometry for Vegetation and Inland Water Monitoring: Progress, Challenges, Opportunities, and Potential. Remote Sens. 2025, 17, 1199. https://doi.org/10.3390/rs17071199

AMA Style

Xie J, Bu J, Li H, Wang Q. Spaceborne GNSS Reflectometry for Vegetation and Inland Water Monitoring: Progress, Challenges, Opportunities, and Potential. Remote Sensing. 2025; 17(7):1199. https://doi.org/10.3390/rs17071199

Chicago/Turabian Style

Xie, Jiaxi, Jinwei Bu, Huan Li, and Qiulan Wang. 2025. "Spaceborne GNSS Reflectometry for Vegetation and Inland Water Monitoring: Progress, Challenges, Opportunities, and Potential" Remote Sensing 17, no. 7: 1199. https://doi.org/10.3390/rs17071199

APA Style

Xie, J., Bu, J., Li, H., & Wang, Q. (2025). Spaceborne GNSS Reflectometry for Vegetation and Inland Water Monitoring: Progress, Challenges, Opportunities, and Potential. Remote Sensing, 17(7), 1199. https://doi.org/10.3390/rs17071199

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop