Research on time series InSAR monitoring method for multiple types of surface deformation in mining area

被引:0
|
作者
Ya-xing Li
Ke-ming Yang
Jian-hong Zhang
Zhi-xian Hou
Shuang Wang
Xin-ming Ding
机构
[1] China University of Mining and Technology-Beijing,College of Geoscience and Surveying Engineering
来源
Natural Hazards | 2022年 / 114卷
关键词
SBAS-InSAR; PS-InSAR; Mining area; Surface deformation; Monitoring method;
D O I
暂无
中图分类号
学科分类号
摘要
Interferometric Synthetic Aperture Radar (InSAR) has become the primary remote sensing detection method for monitoring significant surface subsidence and deformation caused by underground coal mining. Time Series InSAR has been intensively researched in mining-caused deformation monitoring for its ability to provide surface deformation time series, with Small Baseline Subset InSAR (SBAS-InSAR) and Permanent Scatter InSAR (PS-InSAR) being two classical methods. To obtain the incline and curvature in mining areas and assess the building damage, this paper exploits the SBAS-InSAR and PS-InSAR techniques to estimate surface incline and curvature, following the principle of directional derivatives. The surface beneath the villages and the industrial square near the 7221 Grout-filled working face in the Huaibei mining area of Anhui Province, China, was analyzed. The estimated surface incline and curvature with SBAS-InSAR were within the threshold values specified for Class I damage, while PS-InSAR showed <1% of measurements that exceeded this threshold. This paper provides a method for monitoring the surface deformation beneath the buildings in the mine area. Meanwhile, the dynamic analysis of the damaged buildings provides a basis for determining the influence range with grout-filled working faces.
引用
收藏
页码:2479 / 2508
页数:29
相关论文
共 50 条
  • [41] Potential Geohazards Identification and Deformation Monitoring by Time-Series InSAR Along Anhui Ningwu Expressway
    Qian, Dongsheng
    Wang, Hongxiang
    Huang, Xuewen
    Li, Xiaoyong
    Liu, Xiangsheng
    Zhang, Lei
    Wang, Yu
    Li, Fanfan
    Zhong, Jiahong
    ENGINEERING GEOLOGY FOR A HABITABLE EARTH, VOL 2, IAEG XIV CONGRESS 2023, 2024, : 505 - 514
  • [42] Deformation Time Series and Driving-Force Analysis of Glaciers in the Eastern Tienshan Mountains Using the SBAS InSAR Method
    Du, Weibing
    Ji, Weiqian
    Xu, Linjuan
    Wang, Shuangting
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (08)
  • [43] Complex Deformation Monitoring over the Linfen-Yuncheng Basin (China) with Time Series InSAR Technology
    Yang, Cheng-sheng
    Zhang, Qin
    Xu, Qiang
    Zhao, Chao-ying
    Peng, Jian-bing
    Ji, Ling-yun
    REMOTE SENSING, 2016, 8 (04):
  • [44] A Novel Near-Real-Time GB-InSAR Slope Deformation Monitoring Method
    Su, Yuhan
    Yang, Honglei
    Peng, Junhuan
    Liu, Youfeng
    Zhao, Binbin
    Shi, Mengyao
    REMOTE SENSING, 2022, 14 (21)
  • [45] PS-INSAR TIME SERIES ANALYSIS FOR MEASURING SURFACE DEFORMATION BEFORE THE L'AQUILA EARTHQUAKE
    Liu, Bin
    Luo, Yi
    Zhang, Jingfa
    Gong, Lixia
    Jiang, Wenliang
    Ren, Liyan
    2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 4604 - 4607
  • [46] Long-term Time Series Prediction of Deformation in The Area of Pylons By Combining InSAR and Transformer-based
    Wang, Zhaoran
    Bai, Xiangyu
    2022 EURO-ASIA CONFERENCE ON FRONTIERS OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, FCSIT, 2022, : 60 - 63
  • [47] Monitoring of Land Surface Deformation in Beijing With Time-Series InSAR Technique Based on Multi_Band InSAR Data Using RADARSAT-2 And TERRASAR-X
    Zhang, Wanwan
    Ke, Yinghai
    Gong, Huili
    Zhu, Lin
    Chen, Beibei
    2016 4RTH INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA), 2016,
  • [48] A Kalman Filter Time Series Analysis Method for InSAR
    Dalaison, M.
    Jolivet, R.
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2020, 125 (07)
  • [49] A Minimum Acceleration Approach for the Retrieval of Multiplatform InSAR Deformation Time Series
    Pepe, Antonio
    Solaro, Giuseppe
    Calo, Fabiana
    Dema, Claudio
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (08) : 3883 - 3898
  • [50] Spatiotemporal Inversion and Mechanism Analysis of Surface Subsidence in Shanghai Area Based on Time-Series InSAR
    Li, Jiahao
    Zhou, Lv
    Ren, Chao
    Liu, Lilong
    Zhang, Di
    Ma, Jun
    Shi, Yujun
    APPLIED SCIENCES-BASEL, 2021, 11 (16):