Abstract
Synthetic Aperture Radar Interferometry (InSAR), widely applied for the monitoring of land subsidence, has the advantage of high accuracy and wide coverage. High-resolution SAR data offers a chance to reveal impressive details of large-scale man-made linear features (LMLFs) with Multi-temporal InSAR (MT-InSAR) analysis. Despite these advantages, research validating high-resolution MT-InSAR results along high-speed railways with high spatial and temporal density leveling data is limited. This paper explored the monitoring ability of high-resolution MT-InSAR in an experiment along Jingjin Inter-City Railway, located in Tianjin, China. Validation between these MT-InSAR results and a high spatial/temporal density leveling measurement was conducted. A total of 37 TSX images spanning half a year were processed for MT-InSAR analysis. The distance between two consecutive leveling points is 60 m along Jingjin Inter-City railway and the time interval of the study was about one month. The Root Mean Square Error (RMSE) index of average subsidence rate comparison between MT-InSAR results and leveling data was 3.28 mm/yr, with 34 points, and that of the displacement comparison was 2.90 mm with 464 valid observations. The experimental results along Jingjin Inter-City railway showed a high correlation between these two distinct measurements. These analyses show that millimeter accuracy can be achieved with MT-InSAR analysis when monitoring subsidence along a high-speed railway. We discuss the possible reason for the subsiding center, and the characteristics of both leveling and MT-InSAR results. We propose further planning for the monitoring of subsidence over LMLFs.
Highlights
Ground subsidence has become one of the most severe and widespread geological hazards inChina [1,2]
We propose further planning for the monitoring of subsidence over large-scale man-made linear features (LMLFs)
The accuracies of the height and deformation velocity estimates are dependent on the temporal coherence and baseline distribution, but independent of the interferometric combination, the expressions are useful for all time-series InSAR analysis techniques
Summary
Ground subsidence has become one of the most severe and widespread geological hazards inChina [1,2]. The rapid development of numerous large-scale man-made linear features (LMLFs), including the Inter-City Railway, with monitoring of subsidence over these LMLFs, has gained extensive attention from all over the world [3,4,5]. This for limits financial investments, and causes many fatalities. Multi-temporal InSAR (MT-InSAR) analysis techniques were proven to be a powerful tool for the monitoring of deformation with high spatial/temporal resolution [6] It addressed the limitations of spatial/temporal de-correlation of conventional D-InSAR techniques and estimated atmospheric phase screen (APS) accurately
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