Surface subsidence monitoring in mining area of SBAS-InSAR based on Sentinel-1A


  • Southwest University of Science and Technology, School of Environment and Resource, Mianyang, Sichuan, 621010, China


In this study, the surface subsidence caused by underground mining is monitored by the technique of SBAS-InSAR. The second west mining area of Longshou mine, Jinchang Jinchuan Cu-Ni sulfide mine, Gansu province, is selected as the research area for the experiment. The 29 scene elevation rail Sentinel-1A image data from 2019.03-2020.3 are analyzed for the sequence analysis of the SBAS-InSAR. The vertical subsidence rate and cumulative subsidence results of the surface sequence of the mining area are obtained. According to the study, the minimum error of cumulative sedimentation between SBAS-InSAR and D-InSAR is 0.1mm, the maximum error is 21.37mm, and the median error is ±6.65mm. The minimum error of cumulative settlement between SBAS-InSAR and levelling is 0.66mm, the maximum is 23.74mm, and the median error is ±10.79mm. The results show that the application of the SBAS-InSAR technique in the monitoring of surface subsidence in the mining area is reliable, which provides an important basis for the subsequent safe mining in the mining area.


SBAS-InSAR; D-InSAR; surface subsidence; levelling; time series analysis

Full Text:


Yan Jiaming (2017): Geological characteristics and genesis of Akechukesai copper nickel deposit in Eastern Kunlun, Qinghai [D]. Jilin University, 7-15

An Wenjie, Li Guangkuan (2018): Study on combined overburden technology scheme of caving mining method in West No.2 Mining Area of Longshou Mine [J]. Gold, 2018, 39 (06): 35-38

Zhang Kainan, Yang Zhiqiang, Wu Jifeng(2014): Application of D-InSAR technology in surface subsidence monitoring of Loess Plateau Gully mining area [J]. Surveying and mapping bulletin, (S2): 23-25

Guo Shanchuan, Hou Huping, Zhang Shaoliang, Xu Yaqing, Yang Yongjun (2017): Surface deformation monitoring in Loess Plateau mining area by D-InSAR [J]. Surveying and Mapping Science, 42 (06): 207-212

Bai Zechao, Wang Baocun, JinGuowang, Xu Qing, Zhang Hongmin, Liu Hui (2019): Applicability analysis of surface deformation monitoring in mining area with Sentinel-1A data [J]. Remote sensing of land and resources, 31 (02): 210-217

Li Guangyu, Zhang Rui, Liu Guoxiang, Yu Bing, Zhang Bo, Dai Keren, Bao Jiawen, Wei Bowen (2018): Subsidence monitoring and analysis of Beijing Tianjin Hebei region by Sentinel-1ATS-DInSAR [J]. Acta remote sensing, 22 (04): 633-646

Xu Jun, Hu Jinshan, Kang Jianrong, Hua Yiying, Chen Dan (2019): Land subsidence monitoring and analysis of mining villages based on SBAS-InSAR [J]. Metal mine, (10): 74-80

Xiao Liang, He Yueguang, Xing Xuemin, Wen Debao, Tong Chenggong, Chen Lifu, Yu Xiaoying (2019): Sentinel-1 and SBAS-InSAR analysis of time series settlement of drilling water-soluble rock salt mine [J]. Acta remote sensing, 23 (03): 501-513

Yin Hongjie, Zhu Jianjun, Li Zhiwei, Ding Xiaoli, Wang Changcheng (2011): Study on deformation monitoring in mining area based on SBAS [J]. Journal of surveying and mapping, 40 (01): 52-58

Ng H M, Ge L, Yan Y, et al. (2010): Mapping accumulated mine subsidence using small stack of SAR differential inter-ferograms in the Southern coalfield of New South Wales, Australia[J]. Engg. Geology, 115(1-2):1-15.

Liu Zhimin, Li Yongsheng, Zhang Jingfa, Luo Yi, Liu Bin (2014): Surface deformation monitoring in Changzhi mining area based on SBAS-InSAR [J]. Remote sensing of land and resources, 26 (03): 37-42

Hua Yiying, Hu Jinshan, Kang Jianrong, Xu Jun (2020): Study on Surface Subsidence Law of multi working face mining in Daning mining area based on SBAS-DInSAR [J]. Metal mine, (03): 177-183

Li Jinchao, Gao Fei, Lu Jiaguo, Fang Rui (2019): Deformation monitoring and prediction of residential areas based on SBAS-InSAR and GM-SVR [J]. Geodesy and geodynamics, 39 (08): 837-842

Wang Yuanjian, Qi Lin, Jiang Yue, Yuan Xin, Li Pengyu, Xu Yongmei (2019): Subsidence monitoring and position inversion of old goaf in gold mine based on DInSAR technology [J]. Metal mine, (10): 68-73

Liu Guoxiang, Zhang Bo, Zhang Rui, Cai Jialun, Fu Yin, Liu Qiao, Yu Bing, Li Zhilin (2019): Monitoring of Hailuogou Glacier dynamic change and secondary landslide disaster by combining Satellite SAR and ground-based SAR [J]. Journal of Wuhan University (Information Science Edition), 44 (07): 980-995

Liu Tongqu (2019): Study on monitoring of coal mine surface subsidence based on SBAS-DInSAR technology [D]. Taiyuan University of Technology, 37-50

Wright T J, Parsons B E, Lu Z. (2004): Toward mapping surface deformation in three dimensions using InSAR[J]. Geophysical Research Letters, 31(1):169-178.

Samsonov S, Tiampo K. (2006): Analytical Optimization of a DInSAR and GPS Dataset for Derivation of Three- Dimensional Surface Motion[J]. IEEE Geoscience and Remote Sensing Letters, 3(1):107-111.

Zhang Y, Meng X, Jordan C, et al. (2018): Investigating slow-moving landslides in the Zhouqu region of China using InSAR time series[J]. Landslides.


  • There are currently no refbacks.