Author(s)

FangZhou Fu

Affiliation(s)

College of Intelligent Mining Engineering, China University of Mining and Technology-Beijing, Beijing 100080, China.

Corresponding Author

FangZhou Fu

ABSTRACT

Large-scale mining activities in mining areas can induce surface deformation phenomena, threatening the stability of peripheral production systems and residential environmental safety. Consequently, implementing high-precision surface deformation monitoring has become a critical component of mine safety assessment systems and ecological restoration projects. This study takes the Xinjing Mining Area in Alxa League, as a case study. Utilizing 20 scenes of Sentinel-1 ascending orbit images acquired from January 2022 to December 2023, this study applied the SBAS-InSAR technique for deformation monitoring and analysis. The results demonstrated complex deformation patterns in the Xinjing Mining Area during the study period, primarily characterized by subsidence. The deformation rate across the study area ranged from -125.8 mm/a to +36.3 mm/a, with cumulative deformation magnitudes ranging from -213.3 mm to +76.7 mm. The deformation process evolved through three distinct phases: an accelerated deformation phase, a moderate deformation phase, and a stabilization phase. This study provides essential data support and a scientific basis for preventing mining-induced subsidence caused by engineering activities in mining areas.

KEYWORDS

SBAS-InSAR; Alxa open-pit coal mine; Surface deformation monitoring; Spatiotemporal evolution

CITE THIS PAPER

FangZhou Fu. Surface deformation monitoring and analysis in Xinjing Mining Area based on SBAS-InSAR technology. Frontiers in Environmental Research. 2025, 3(2): 13-20. DOI: https://doi.org/10.61784/fer3025.

REFERENCES

[1] T Muhammad, G Ni, Z Chen, et al. Addressing resource curse: How mineral resources influence industrial structure dynamics of the BRI 57 oil-exporting countries. Resources Policy, 2024, 99: 105420.

[2] Z Luo, L Zhou, J Qin, et al. Assessing surface deformation in the Chengdu Plain: A comprehensive time-series InSAR study of urban development and natural environmental factors. Advances in Space Research, 2024, 73(3): 1780–1798.

[3] J Geng, X Zhang, J Lin, et al. 3S technology and its application in the assessment and monitoring of mining geological disasters. Digital Technology and Application, 2013, (04): 93–95.

[4] H Kawabata, S Yoshioka. Spatiotemporal changes in the strain field in the Niigata-Kobe Tectonic Zone: long-term analysis using GNSS time series data. Progress in Earth and Planetary Science, 2025, 12(1): 22–22.

[5] M D Lucio, C Riccardo, C Valentina, et al. Integrated approaches for field mapping by traditional investigation and satellite PSInSAR data: Results from the Montemartano Landslide (Central Italy). Remote Sensing, 2023, 15(5): 1221–1221.

[6] K Zhang, Q Li, H Dai, et al. Research on the integrated monitoring technology of “air and sky” for surface movement in mining area. Coal Science and Technology, 2020, 48(02): 207–213.

[7] J Huang, B Wang, X Cai, et al. Coastal reclamation embankment deformation: Dynamic monitoring and future trend prediction using multi-temporal InSAR technology in Funing Bay, China. Remote Sensing, 2024, 16(22): 4320–4320.

[8] D Zhou, X Zuo. Surface deformation monitoring and prediction in mining area based on SBAS-InSAR and PSO-BP neural network algorithm. Journal of Yunnan University (Natural Science Edition), 2021, 43(05): 895–905.

[9] E Bayramov, N Sydyk, S Nurakynov, et al. Quantitative assessment of urban surface deformation risks from tectonic and seismic activities using multitemporal microwave satellite remote sensing: A case study of Almaty city and its surroundings in Kazakhstan. Frontiers in Built Environment, 2024, 10: 1502403.

[10] Q Fan, C Tang, Y Chen, et al. Application of GPS and InSAR technology in landslide monitoring. Surveying and Mapping Science, 2006(05): 60–62+5.

[11] K E, A N, F H, et al. Monitoring of land surface displacement based on SBAS-InSAR time-series and GIS techniques: A case study over the Shiraz metropolis, Iran. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023, X-4/W1: 371–378.

[12] R Wang, S Xiong, H Nie, et al. Research on remote sensing geological survey technology and application. Journal of Geology, 2011, 85(11): 1699–1743.

[13] M Manunta, D C Luca, I Zinno, et al. The Parallel SBAS approach for Sentinel-1 interferometric wide swath deformation time-series generation. Algorithm description and products quality assessment. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(9): 6259–6281.

[14] H Yin, J Zhu, C Li, et al. Research on deformation monitoring of mining area based on SBAS. Journal of Surveying and Mapping, 2011, 40(01): 52–58.

[15] Q Yang, P Xu, C Cao, et al. Research on land subsidence prediction in mining areas based on SBAS-InSAR and multi-model comparison. Journal of Research in Science and Engineering, 2024, 6(12): 63–71.

[16] A Mugabushaka, Z Li, X Zhang, et al. Mapping surface deformation in Rwanda and neighboring areas using SBAS-InSAR. Remote Sensing, 2024, 16(23): 4456–4456.

[17] W Shen. Mindful of people's well-being, dedication to escort a better life. China Mining News, 2024(001).

[18] F Ma, R Li, X Liu, et al. Surface settlement monitoring of Xinjing coal mine based on time series InSAR technology. Journal of Shanxi Datong University (Natural Science Edition), 2023, 39(04): 123–127.