Wide-Area Subsidence Monitoring and Analysis Using Time-Series InSAR Technology: A Case Study of the Turpan Basin

• Published in: Remote sensing (Basel, Switzerland) Switzerland), 2024-05, Vol.16 (9), p.1611
• Main Authors: Li, Ruren, Gong, Xuhui, Zhang, Guo, Chen, Zhenwei
• Format: Article
• Language: English
• Subjects: Accuracy; Agricultural land; Agricultural production; Autumn; Datasets; Deformation; Earthquakes; Efficiency; Environmental aspects; Geology; Global positioning systems; GPS; ground subsidence; Identification and classification; Information processing; Interferometric synthetic aperture radar; Interferometry; Measurement; Monitoring; Monitoring methods; Overexploitation; Rainfall; Spring; Spring (season); stacking; Subsidence; Subsidences (Earth movements); Synthetic aperture radar; Time series; time-series InSAR; Turpan Basin; Urban planning; Water resources
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs16091611

Ground subsidence often occurs over a large area. Although traditional monitoring methods have high accuracy, they cannot perform wide-area ground deformation monitoring. Synthetic Aperture Radar (SAR) interferometry (InSAR) technology utilizes phase information in SAR images to extract surface deformation information in a low-cost, large-scale, high-precision, and high-efficiency manner. With the increasing availability of SAR satellite data and the rapid development of InSAR technology, it provides the possibility for wide-area ground deformation monitoring using InSAR technology. Traditional time-series InSAR methods have cumbersome processing procedures, have large computational requirements, and rely heavily on manual intervention, resulting in relatively low efficiency. This study proposes a strategy for wide-area InSAR multi-scale deformation monitoring to address this issue. The strategy first rapidly acquires ground deformation information using Stacking technology, then identifies the main subsidence areas by setting deformation rate thresholds and visual interpretation, and finally employs advanced TS-InSAR technology to obtain detailed deformation time series for the main subsidence areas. The Turpan Basin in Xinjiang, China, was selected as the study area (7474.50 km2) to validate the proposed method. The results are as follows: (1) The basin is generally stable, but there is ground subsidence in the southern plain area, mainly affecting farmland. (2) From 2016 to 2019, the maximum subsidence rate in the farmland area was approximately 0.13 m/yr, with a maximum cumulative subsidence of about 0.25 m, affecting a total area of approximately 952.49 km2. The subsidence mainly occurred from late spring to mid-autumn, while lifting or subsidence mitigation occurred from late autumn to early spring. The study also analyzed the impacts of rainfall, geographical environment, and human activities on subsidence and found that multiple factors, including water resource reduction, overexploitation, geological characteristics, and the expansion of human activities, contributed to the subsidence problem in the Turpan Basin. This method contributes to wide-area InSAR deformation monitoring and the application of InSAR technology in engineering.