Monitoring of Ground Deformation in Mining Region Based on Time-series InSAR

Research Article
Open access

Monitoring of Ground Deformation in Mining Region Based on Time-series InSAR

Dixiao Yu 1*
  • 1 Northeast Yucai Foreign Language School, Shenyang, China    
  • *corresponding author yudixiao@163.com
TNS Vol.112
ISSN (Print): 2753-8826
ISSN (Online): 2753-8818
ISBN (Print): 978-1-80590-151-8
ISBN (Online): 978-1-80590-152-5

Abstract

Tailings ponds, essential for mining operations yet potential geological hazards, require rigorous safety monitoring. Conventional ground deformation methods are inadequate for contemporary precision and spatial coverage standards. InSAR technology, offering millimeter-level accuracy and robust spatio-temporal continuity, has become vital for monitoring deformation in mining areas. This study examines InSAR-based monitoring of ground deformation at the Baizhangzi Gold Mine's tailings pond and collapse zone in Lingyuan, Liaoning, China. Utilizing SBAS-InSAR, this study processes SAR image data for comprehensive analysis. Findings indicate that while the tailings pond remains stable, the collapse zone experiences significant subsidence, primarily attributed to anthropogenic mining activities. The results demonstrate that SBAS-InSAR is effective for monitoring subsidence in mining regions, contributing to geological hazard mitigation and serving as a reference for analogous mining sites.

Keywords:

InSAR, Ground Deformation, Tailings Pond

Yu,D. (2025). Monitoring of Ground Deformation in Mining Region Based on Time-series InSAR. Theoretical and Natural Science,112,159-164.
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References

[1]. Shi Jingye, Zhu Longwen, Fan Nannan, Zhang Wei & Song Qifan. (2021). Construction and Functions of the Space-Air-Ground Integrated Tailings Pond Supervision Platform. Satellite Application, (06), 37-41.

[2]. Han Yong, Liu Guangchun, Liu Jie, Yang Jun, Xie Xiangcheng,..., & Zhang Wenzhi. (2023). Ground Subsidence Monitoring and Analysis in Jiaozuo City (China) Based on SBAS-InSAR Technology. Sustainability, 15(15), 11737.

[3]. Lv Zhou, Guo Jiming, Jiyuan Hu, Li Jiangwei, Yongfeng Xu,..., &Shi Miao. (2017). Wuhan Surface Subsidence Analysis in 2015-2016 Based on Sentinel-1A Data by SBAS-InSAR. REMOTE SENSING, 9(10),982.

[4]. Hui Liu, Zhou Bochen, Zechao Bai, Zhao Wenfei, Mengyuan Zhu, &Geshuang Li. (2023). Applicability Assessment of Multi-Source DEM-Assisted InSAR Deformation Monitoring Considering Two Topographical Features. LAND, 12(7),1284.

[5]. Tao Changxu, Zhang Yongshuang & Ren Sanshao. (2025). Research Progress on the Application of InSAR Technology in Landslide Identification and Monitoring. Geology in China, 1-16.

[6]. Kalavrezou Ioanna Efstathia, Castro Melgar Ignacio, Nika Dimitra, Gatsios Theodoros, Spyros Lalechos, &Parcharidis Issaak. (2024). Application of Time Series INSAR (SBAS) Method Using Sentinel-1 for Monitoring Ground Deformation of the Aegina Island (Western Edge of Hellenic Volcanic Arc). LAND, 13(4),485.

[7]. P. Tizzani, Berardino P., F. Casu, P. Euillades, Manzo M., &Lanari R. (2007). Surface deformation of Long Valley caldera and Mono Basin, California, investigated with the SBAS-InSAR approach. REMOTE SENSING OF ENVIRONMENT, 108(3),277-289.

[8]. Baohang Wang, Zhao Chaoying, Qin Zhang, Zhong Lu, Li Zhenhong, &Liu Yuanyuan. (2020). Sequential Estimation of Dynamic Deformation Parameters for SBAS-InSAR. IEEE GEOSCIENCE&REMOTE SENSING LETTERS, 17(6),1017-1021.

Cite this article

Yu,D. (2025). Monitoring of Ground Deformation in Mining Region Based on Time-series InSAR. Theoretical and Natural Science,112,159-164.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of ICEGEE 2025 Symposium: Sensor Technology and Multimodal Data Analysis

ISBN：978-1-80590-151-8(Print) / 978-1-80590-152-5(Online)
Editor：Alan Wang
Conference website: https://www.icegee.org/auckland.html
Conference date: 16 June 2025
Series: Theoretical and Natural Science
Volume number: Vol.112
ISSN：2753-8818(Print) / 2753-8826(Online)

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References

[1]. Shi Jingye, Zhu Longwen, Fan Nannan, Zhang Wei & Song Qifan. (2021). Construction and Functions of the Space-Air-Ground Integrated Tailings Pond Supervision Platform. Satellite Application, (06), 37-41.

[2]. Han Yong, Liu Guangchun, Liu Jie, Yang Jun, Xie Xiangcheng,..., & Zhang Wenzhi. (2023). Ground Subsidence Monitoring and Analysis in Jiaozuo City (China) Based on SBAS-InSAR Technology. Sustainability, 15(15), 11737.

[3]. Lv Zhou, Guo Jiming, Jiyuan Hu, Li Jiangwei, Yongfeng Xu,..., &Shi Miao. (2017). Wuhan Surface Subsidence Analysis in 2015-2016 Based on Sentinel-1A Data by SBAS-InSAR. REMOTE SENSING, 9(10),982.

[4]. Hui Liu, Zhou Bochen, Zechao Bai, Zhao Wenfei, Mengyuan Zhu, &Geshuang Li. (2023). Applicability Assessment of Multi-Source DEM-Assisted InSAR Deformation Monitoring Considering Two Topographical Features. LAND, 12(7),1284.

[5]. Tao Changxu, Zhang Yongshuang & Ren Sanshao. (2025). Research Progress on the Application of InSAR Technology in Landslide Identification and Monitoring. Geology in China, 1-16.

[6]. Kalavrezou Ioanna Efstathia, Castro Melgar Ignacio, Nika Dimitra, Gatsios Theodoros, Spyros Lalechos, &Parcharidis Issaak. (2024). Application of Time Series INSAR (SBAS) Method Using Sentinel-1 for Monitoring Ground Deformation of the Aegina Island (Western Edge of Hellenic Volcanic Arc). LAND, 13(4),485.

[7]. P. Tizzani, Berardino P., F. Casu, P. Euillades, Manzo M., &Lanari R. (2007). Surface deformation of Long Valley caldera and Mono Basin, California, investigated with the SBAS-InSAR approach. REMOTE SENSING OF ENVIRONMENT, 108(3),277-289.

[8]. Baohang Wang, Zhao Chaoying, Qin Zhang, Zhong Lu, Li Zhenhong, &Liu Yuanyuan. (2020). Sequential Estimation of Dynamic Deformation Parameters for SBAS-InSAR. IEEE GEOSCIENCE&REMOTE SENSING LETTERS, 17(6),1017-1021.

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