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Abstract <p>Mining-induced subsidence in coal mining areas is characterized by rapid subsidence rates and significant magnitude. High-intensity coal extraction induces substantial surface deformation with steep phase gradients, leading to phase unwrapping errors in interferometric synthetic aperture radar (InSAR) measurements. Conventional differential InSAR (DInSAR) techniques alone are insufficient to capture the principal components of surface subsidence under these conditions. To address the limitations of DInSAR in resolving large-gradient deformations and the inadequate precision of offset-tracking technology in monitoring minor deformations in mining regions, this study proposes an integrated deformation monitoring methodology combining DInSAR and offset-tracking techniques. The synergistic approach enables accurate extraction of large-gradient deformation fields in mining areas. Thirteen RADARSAT-2 images acquired between April 28, 2015, and March 5, 2016, from a coal mining area in Handan City, China, were analyzed. Validation against terrestrial leveling data demonstrated measurement discrepancies with a maximum bias of 0.22 m, a mean absolute error (MAE) of 0.052 m, and a root mean square error (RMSE) of 0.063 m. The results indicate strong consistency between the fused DInSAR-offset-tracking outputs and ground truth data, confirming the validity and reliability of the proposed methodology for monitoring large-gradient surface deformations. This integrated technique effectively reconstructs complete subsidence basin profiles induced by mining activities, providing a robust framework for subsidence monitoring in analogous mining environments. The methodological advancements offer critical insights for operational safety assessments and environmental impact mitigation in coal extraction regions.</p>

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Monitoring and Analysing Mining Subsidence by Integrating Dinsar and Technology Offset_tracking

  • 期刊论文

  • 发表日期：

    2025年8月1日

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  • Ruonan Zhao,
  • Junfeng Li,
  • Chuang Chen,
  • Sui Weihao

摘要

Abstract

Mining-induced subsidence in coal mining areas is characterized by rapid subsidence rates and significant magnitude. High-intensity coal extraction induces substantial surface deformation with steep phase gradients, leading to phase unwrapping errors in interferometric synthetic aperture radar (InSAR) measurements. Conventional differential InSAR (DInSAR) techniques alone are insufficient to capture the principal components of surface subsidence under these conditions. To address the limitations of DInSAR in resolving large-gradient deformations and the inadequate precision of offset-tracking technology in monitoring minor deformations in mining regions, this study proposes an integrated deformation monitoring methodology combining DInSAR and offset-tracking techniques. The synergistic approach enables accurate extraction of large-gradient deformation fields in mining areas. Thirteen RADARSAT-2 images acquired between April 28, 2015, and March 5, 2016, from a coal mining area in Handan City, China, were analyzed. Validation against terrestrial leveling data demonstrated measurement discrepancies with a maximum bias of 0.22 m, a mean absolute error (MAE) of 0.052 m, and a root mean square error (RMSE) of 0.063 m. The results indicate strong consistency between the fused DInSAR-offset-tracking outputs and ground truth data, confirming the validity and reliability of the proposed methodology for monitoring large-gradient surface deformations. This integrated technique effectively reconstructs complete subsidence basin profiles induced by mining activities, providing a robust framework for subsidence monitoring in analogous mining environments. The methodological advancements offer critical insights for operational safety assessments and environmental impact mitigation in coal extraction regions.