Bulletin of Surveying and Mapping ›› 2026, Vol. 0 ›› Issue (5): 80-88.doi: 10.13474/j.cnki.11-2246.2026.0514

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Large-scale mining-area subsidence monitoring and analysis using L-SAR data and D-InSAR

ZHENG Meinan1, QU Lijia2, SHEN Yongtian2, ZHANG Xiang3, CHENG Zisu1   

  1. 1. Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China;
    2. Anhui Provincial Archives of Surveying and Mapping(Anhui Provincial Foundamental Geomatics Center), Hefei 230031, China;
    3. Center for Land Satellite Remote Sensing Application, Ministry of Natural Resources, Beijing 100048, China
  • Received:2025-09-02 Published:2026-06-09

Abstract: [Purposes]The purpose of this paper is to validate the capability of domestically produced L-band synthetic aperture radar (L-SAR)data for large-scale deformation monitoring in mining areas.[Methods]It takes the Huainan mining district as an example,using six ascending-track and ten descending-track L-SAR scenes,a two-pass differential interferometric synthetic aperture radar (D-InSAR)approach is applied to retrieve large-area surface deformation.[Findings]Results show that the relatively long wavelength of L-SAR helps mitigate decorrelation effects; the mean coherence of the ascending-and descending-track L-SAR interferograms is 0.34 and 0.37,respectively,which ensures the reliability of the D-InSAR measurements.Line-of-sight (LOS)surface deformation derived from ascending and descending tracks is highly consistent in spatial distribution,with maximum cumulative subsidence of -0.65 and -0.69 m,respectively,occurring in the Gubei mining area.Profile-based analysis of cumulative deformation indicates that the deformation magnitude and spatial extent recovered from the two track directions are essentially consistent,but a spatial “shift” between the subsidence bowls detected by ascending and descending data is observed; this shift is mainly at-tributable to horizontal ground motion and geocoding offsets.[Conclusions]The study confirm the ability of L-SAR data to capture large-scale mine subsidence and provide a technical reference for using L-SAR and D-InSAR for mining-area subsidence monitoring.

Key words: LuTan-1 satellite, L-SAR data, mining subsidence, D-InSAR, large-scale subsidence monitoring

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