Spatiotemporal Characteristics Analysis of Coal Mining Subsidence Based on Time Series D-InSAR

Surface subsidence induced by coal mining activities has long been a critical focus in mining environmental protection and safe production. Time-series Differential Interferometric Synthetic Aperture Radar (D-InSAR) technology, as an effective surface deformation monitoring method, provides wide-coverage and high-precision surface subsidence information. This study focuses on the Hengshan Weiqiang Coal Industry Co., Ltd. of Shaanxi Yanchang Petroleum Group, employing time-series D-InSAR technology combined with ground monitoring data to conduct an in-depth analysis of the spatiotemporal characteristics of mining subsidence. Through continuous monitoring and processing of Sentinel-1A satellite data, the dynamic evolution patterns of surface subsidence during mining operations were revealed, determining the distribution characteristics and subsidence rates of the affected areas. The results demonstrate that time-series D-InSAR technology effectively monitors mining-induced surface subsidence, providing scientific evidence for mine safety operations and environmental protection. The research findings have significant theoretical and practical implications for optimizing mining schemes and preventing and mitigating surface subsidence hazards.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/dipca65051.2025.11042596
Primary Topic
Geoscience and Mining Technology
Type
article
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article

Spatiotemporal Characteristics Analysis of Coal Mining Subsidence Based on Time Series D-InSAR

X. Shao, Rui Guo, Binglin Chen
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Geoscience and Mining Technology
article

Spatiotemporal Characteristics Analysis of Coal Mining Subsidence Based on Time Series D-InSAR

X. Shao, Rui Guo, Binglin Chen
article en

Abstract

Surface subsidence induced by coal mining activities has long been a critical focus in mining environmental protection and safe production. Time-series Differential Interferometric Synthetic Aperture Radar (D-InSAR) technology, as an effective surface deformation monitoring method, provides wide-coverage and high-precision surface subsidence information. This study focuses on the Hengshan Weiqiang Coal Industry Co., Ltd. of Shaanxi Yanchang Petroleum Group, employing time-series D-InSAR technology combined with ground monitoring data to conduct an in-depth analysis of the spatiotemporal characteristics of mining subsidence. Through continuous monitoring and processing of Sentinel-1A satellite data, the dynamic evolution patterns of surface subsidence during mining operations were revealed, determining the distribution characteristics and subsidence rates of the affected areas. The results demonstrate that time-series D-InSAR technology effectively monitors mining-induced surface subsidence, providing scientific evidence for mine safety operations and environmental protection. The research findings have significant theoretical and practical implications for optimizing mining schemes and preventing and mitigating surface subsidence hazards.

China XD Group (China) (CN)
Openalex Percentile: Top 83%
Geoscience and Mining Technology
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