Monitoring surface subsidence in the Binchang mining area using small baseline subset differential interferometric synthetic aperture radar with Sentinel-1A data

Xiang, Yu‐Tao; Yao, Wanqiang; Shi, Yun; Huang, Yuancheng; Zheng, Junliang; Cui, Bai; Zhang, Chuqiang

doi:10.1117/1.jrs.14.044507

Cited by 5 publications

(1 citation statement)

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“…One example is Sentinel-1 TOPS (Terrain Observation with Progressive Scans in azimuth) mode SAR data (open to all users) [6,7]. Ideally, SAR data obtained using the TOPS mode can monitor about 40,000 2 km for 6 days (with two satellites) with a return period of 12 days to produce surface deformation maps with a spatial resolution of about 20 m (including all mining areas in this range) [8][9][10][11]. Surface deformation maps with such high spatial and temporal resolution are almost impossible to obtain using traditional geodetic instruments [12].…”

Section: Introductionmentioning

confidence: 99%

Application of Gray-Markov Model to Land Subsidence Monitoring of a Mining Area

et al. 2021

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Land subsidence monitoring in mining areas is one of the main applications of surface deformation monitoring, which is of great significance for safety production. Using the IPTA (Interferometric Point Target Analysis) time-series InSAR (Interferometry Synthetic Aperture Radar) method, land subsidence data from the new exploration area in the Weizhou mining area were analyzed and compared with static GPS (Global Positioning System) monitoring data for 2017-2020. Gray-Markov model was established by combining the gray prediction model with the Markov model to predict the surface subsidence of the mining area. The results show that (1) InSAR data have high accuracy and application potential in prediction of long-term surface deformation in mining areas; (2) The Gray-Markov model can better reflect the volatility and practicality of subsidence data in mining areas; (3) The prediction results have high accuracy, and the Gray-Markov model can serve as an effective guide for long-term surface deformation monitoring and safety management.

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