The Deformation Monitoring Capability of Fucheng-1 Time-Series InSAR

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 23; p. 7604
• Main Authors: Wu, Zhouhang, Zhang, Wenjun, Cai, Jialun, Xiang, Hongyao, Fan, Jing, Wang, Xiaomeng
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 28.11.2024; MDPI
• Subjects: Accuracy; Artificial satellites; Artificial satellites in remote sensing; DSI; Fucheng-1 (FC-1); interferometric synthetic aperture radar (InSAR); Launching; PSI; Remote sensing; Satellites; subsidence of land surface; Synthetic aperture radar; Topography; Urban areas; Vegetation; China; Sichuan China; DSI; interferometric synthetic aperture radar (InSAR); Fucheng-1 (FC-1); PSI; subsidence of land surface
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s24237604

The Fucheng-1 (FC-1) satellite has successfully transitioned from its initial operational phase and is now undergoing a detailed performance assessment for time-series deformation monitoring. This study evaluates the surface deformation monitoring capabilities of the newly launched FC-1 satellite using the interferometric synthetic aperture radar (InSAR) technique, particularly in urban applications. By analyzing the observation data from 20 FC-1 scenes and 20 Sentinel-1 scenes, deformation velocity maps of a university in Mianyang city were obtained using persistent scatterer interferometry (PSI) and distributed scatterer interferometry (DSI) techniques. The results show that thanks to the high resolution of 3 × 3 m of the FC-1 satellite, significantly more PS points and DS points were detected than those detected by Sentinel-1, by 13.4 times and 17.9 times, respectively. The distribution of the major deformation areas detected by both satellites in the velocity maps is generally consistent. FC-1 performs better than Sentinel-1 in monitoring densely structured and vegetation-covered areas. Its deformation monitoring capability at the millimeter level was further validated through comparison with leveling measurements, with average errors and root mean square errors of 1.761 mm and 2.172 mm, respectively. Its high-resolution and high-precision interferometry capabilities make it particularly promising in the commercial remote sensing market.