Fusing BDS and Dihedral Corner Reflectors for High-Precision 3D Deformation Measurement: A Case Study in the Jinsha River Reservoir Area
In mountainous canyon regions, BeiDou Navigation Satellite System (BDS)/Global Navigation Satellite System (GNSS) receivers are susceptible to multireflection and tropospheric factors, which frequently reduce the accuracy in monitoring vertical deformation monitoring under short-baseline methods. This limitation hinders the application of BDS/GNSS in high-precision monitoring scenarios in those cases. To address this issue, this study proposes a three-dimensional (3D) deformation measurement method that integrates BDS/GNSS positioning with dihedral corner reflectors (CRs). By incorporating high-precision horizontal positioning results obtained from BDS/GNSS into the radar line-of-sight (LOS) correction process and utilizing ascending and descending Synthetic Aperture Radar (SAR) data for joint monitoring, the method achieves millimeter-level- accuracy in measuring vertical deformation at corner reflector sites. At the same time, it enhances the 3D positioning accuracy of BDS/GNSS to the 1 mm level under short-baseline configurations. Based on monitoring stations deployed at the Jinsha River dam site, the proposed deformation fusion monitoring method was validated using high-resolution SAR imagery from Germany’s TerraSAR-X (TSX) satellite. Simulated horizontal and vertical displacements were introduced at the stations. The results demonstrate that BDS/GNSS achieves better than 1 mm horizontal monitoring accuracy and a vertical accuracy of around 5 mm. Interferometric SAR (InSAR) CRs achieve approximately 2 mm in horizontal accuracy and 1 mm in vertical accuracy. The integrated method yields a 3D deformation monitoring accuracy better than 1 mm. This paper’s results show high potential for achieving high-precision deformation observations by fusing BDS/GNSS and dihedral CRs, offering promising prospects for deformation monitoring in reservoir canyon regions.
Authors
- Rongxin Fang (ORCID: https://orcid.org/0000-0001-8746-9650)
- Zongyi Peng (ORCID: https://orcid.org/0000-0002-3134-6173)
- Tao Li
- Zhiyong Qi
- Yanpian Mao
- Zhengyang Tang
- Yanjie Mou
- Xuhuang Du
Institutions
- Wuhan University (CN)
- Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-08-28
- DOI
- https://doi.org/10.3390/rs17173000
- Citations
- 2
- Primary Topic
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Type
- article
- Field-Weighted Citation Impact
- 9.99
Funders
- National Natural Science Foundation of China