Integrating PS-InSAR and SBAS-InSAR for mining surface settlement monitoring

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Fusion, PS-InSAR, SBAS-InSAR, mining area, land subsidence.


Based on 38 Sentinel-1A images, this paper imports GCP points generated by PS-InSAR into SBAS-InSAR, instead of manually selected GCP points, extracts surface deformation in the study area, and compares and analyzes with traditional GPS monitoring data. The results show that during the study period, obvious settlement funnels appeared in the southern and eastern parts of the study area. The maximum settlement along the line of sight reached 66mm, and the maximum settlement rate was -53mm/ a, and the settlement results of InSAR are consistent with GPS monitoring results. The consistency verifies the feasibility of integrating InSAR technology to monitor surface subsidence in mining areas.


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How to Cite

YUAN-JI, Y., WEN-JUN, Z., SHI-HUA, G., JUN-YI, M., & RUI, S. (2022). Integrating PS-InSAR and SBAS-InSAR for mining surface settlement monitoring. Journal of Mines, Metals and Fuels, 69(9), 310–314.
Received 2022-01-24
Accepted 2022-01-24
Published 2022-01-24



Xu Jun, Hu Jinshan, Kang Jianrong, et al. (2019): Monitoring and Analysis of Village Surface Subsidence in Mining Area Based on SBAS-InSAR[J].Metal Mine,(10): 74-80. DOI:10.19614/j.cnki.jsks.201910012.

Zhou Wentao, Zhang Wenjun, Yang Yuanji, et al.(2021): A Combined Model Prediction Method for Surface Subsidence Monitoring in Mining Areas[J].Journal of Geodesy and Geodynamics, 41(3):308-312. DOI: 10.14075/j.jgg.2021.03.016.

Xu Shuai, Wang Shangxiao, Niu Ruiqing. (2020): Identification of the Potential Landslide in Wushan-Fengjie in the Three Gorges Reservoir Area Based on InSAR Technology [J]. Safety and Environmental Engineering, 27(1):32-38. DOI:10.13578/ j.cnki.issn.1671-1556.2020.01.006.

Du Xiaobei (2018): The Method of Screening the Hidden Geologic Hazard and Safety Evaluation in Mining Area Based on SBAS-InSAR [D]. Henan: Henan Polytechnic University.

GE Weili, LI Yuanjie, WANG Zhichao, Zhang Chunming, Yang Honglei. (2021): Spatial-Temporal Ground Deformation Study of Baotou Based on the PS-InSAR Method[J]. Acta Geologica Sinica(English Edition), 95(02):674-683.

Wu Jiang (2020): Application of PS-InSAR Technology in Urban Surface Subsidence Monitoring[J].Geomatics & Spatial Information Technology, 43(12):208-210. DOI:10.3969/j.issn.1672-5867.2020.12.058.

Jiang Naiqi, Zuo Xiaoqing, Wang Zhihong, et al.(2020): Monitoring Land Settlement in the Main Urban Area of Kunming Based on PS-InSAR and SBAS Technology [J]. Journal of Guizhou University (Natural Science), 2020, 37(4):72-78. DOI: 10.15958/ j.cnki.gdxbzrb. 04.14.

Yang Yuanxin, Xu Wenxue. (2020): Subsidence monitoring of an airport based on PS-InSAR and SBAS-InSAR technology, 48(8):59-66.

Shi Gulin, Xu Liang, Zhang Xuanyu, et al. (2021): Monitoring time series deformation of Xishancun landslide with SBAS-InSAR, 46(2): 93-98, 105.

Irfan Ahmed Soomro, Fan Yubin, Guo Weina, et al. (2021): Surface subsidence monitoring in Juye coalfield based on SBAS-InSAR technology [J]. Chinese High Technology Letters,31(3):333-340. DOI:10.3772/j.issn.1002-0470.2021.03.014.

Zhao Xijiang, Wang Bin, Zhang Zaiyan (2019):Monitoring and analysis of surface subsidence in Hegang mining area using SBAS-InSAR technology [J]. Journal of Heilongjiang University of Science and Technology,29(1): 66-70. DOI:10.3969/j.issn.2095-7262.2019.01.012.

Wang Shangxiao, Niu Ruiqing, XU Shuai, et al. (2020): Landslide extraction in Wushan County based on SBAS technology [J]. Yangtze River, 51(8): 130-134, 146. DOI:10.16232/j.cnki.1001-4179, 08.023.