Mining Subsidence Monitoring With Modified Time-Series SAR Interferometry Method Based on the Multi-Level Processing Strategy

Abstract

The supply of coal is related to the stability of social development in China. Coal mining faces are generally located under farmland and wasteland to avoid destroying the livelihood and property of residents, which seriously affects the selection of permanent scatterer (PS) with time-series interferometric synthetic aperture radar (TS-InSAR) method. The advanced TS-InSAR (ATS-InSAR) method combining PS and distributed scatterer (DS) monitoring modules is a useful tool to increase measurement points. However, the number of DS and the accuracy of measurement are different with different thresholds of temporal coherence. On the basis of ATS-InSAR, we propose a modified method applying the multi-level processing strategy to obtain more reliable deformation information and improve the ability of ATS-InSAR stability monitoring in an area of moderate coherence in this paper. 16 sentinel-1A images are used to monitor mining subsidence in Peixian, China. The results of three different methods are cross-verified. Meanwhile, reliable DS pixels are identified by using the thresholding of both temporal coherence and Pearson correlation coefficient through the hierarchical processing. The results show that the deformation of the modified method reveals a large subsidence with the maximum rate of -563 mm/yr. The number of measurement points selected by the modified method is about 6.6 times that of the TS-InSAR method, and 1.3 times that of the ATS-InSAR method. The modified strategy can extract a great number of reliable pixels and reduce error propagation to ensure measurement accuracy. This research offers information to relevant departments for risk management purpose.INDEX TERMS Distributed scatterers (DS), interferometric synthetic aperture radar (InSAR), mining subsidence

An Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry

“…To verify the monitoring results of different methods (MCTSB-InSAR, CAESAR-InSAR, and the improved method), the linear regression analysis is carried out on the deformation rates of completely coincident points in the whole study area. The correlation coefficient r is used to measure the degree of close correlation between the two methods [29], [42], as shown in Figure 10. Assuming that  and  represent the deformation rates obtained by two different methods, their correlation coefficient P can be expressed as ( ) ( ) ( )…”

“…To obtain the detailed damage information caused by land subsidence, dangerous assessment and area statistics are performed based on the results of the improved method. Previous studies have shown that there are different dangerous assessment indexes in different areas and actual conditions [42][43][44]. In this paper, areas with deformation rate less than -10 mm/yr are considered as dangerous areas, which are classified into four groups.…”

Monitoring and Assessment of SBAS-InSAR Deformation for Sustainable Development of Closed Mining Areas—a Case of Nanzhuang Mining Area

“…Interferometric Synthetic Aperture Radar (InSAR) is a remote sensing method capable of dynamic ground deformation monitoring with the advantage of large scale, high resolution, and high accuracy [10,11]. With the development of Muli-Temporal InSAR (MT-InSAR) technology [12][13][14][15][16], shortcomings (temporal decorrelation and atmospheric delay) of traditional InSAR methods have been overcome [17][18][19][20][21]. The two polular MT-InSAR methods are persistent scatterer InSAR (PS-InSAR) and small subset InSAR (SBAS-InSAR).…”

Construction of “Space-Sky-Ground” Integrated Collaborative Monitoring Framework for Surface Deformation in Mining Area

“…The mentioned modern observation techniques have been widely used in surface deformation monitoring. Many scholars have contributed to the comprehensive understanding of surface deformation by improving observation accuracy through data acquisition and data processing methods [21][22][23][24][25][26][27][28]. Meanwhile, many studies simultaneously use one or two traditional measurement techniques and modern techniques to study and analyze surface subsidence, but few studies combine the advantages of various techniques for analysis [29][30][31][32].…”