MT-InSAR surface subsidence monitoring along railway lines considering seasonal decoherence effect

doi:10.13474/j.cnki.11-2246.2026.0715

Abstract

Abstract: [Purposes] To address the technical challenges of information loss in low-coherence areas and the difficulty in ensuring overall accuracy in time-series InSAR monitoring along lengthy railways,this paper proposes an enhanced long time-series MT-InSAR method based on an optimized interferometric combination strategy. [Methods] The design section of Shijiazhuang—Huanghua port intercity railway (under construction),which passes through the uneven subsidence funnel area of the North China Plain,was selected as a typical study area.Utilizing 91 Sentinel-1A SAR images acquired from January 2019 to January 2022,the ground subsidence rates and cumulative subsidence time series along the railway were extracted and analyzed. [Findings] It is found that significant uneven ground subsidence exists along the small mileage section of the railway,with the maximum cumulative settlement in three years reached 90 mm.The root mean square error with the levelling results is 2.02 mm,which indicates that the settlement information extracted from this paper's method is of high accuracy and reliability. [Conclusions] It also offers a solid research foundation for the safety operation of the Shijiazhuang—Huanghua port intercity railway and the ground subsidence prevention efforts in Hengshui and Cangzhou cities.

Key words: Shijiazhuang—Huanghua port intercity railway, seasonal decoherence, enhanced MT-InSAR, ground subsidence, Sentinel-1A

CLC Number:

P258

Yu Laibo, Wang Lijun, Jiang Hang, Zhang Rui, Liu Guoxiang. MT-InSAR surface subsidence monitoring along railway lines considering seasonal decoherence effect[J]. Bulletin of Surveying and Mapping, 2026, 0(7): 104-110.

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URL: http://tb.chinasmp.com/EN/10.13474/j.cnki.11-2246.2026.0715

http://tb.chinasmp.com/EN/Y2026/V0/I7/104

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