Study of monitoring mining subsidence in coal mining area by D-InSAR technology

被引：0
|
作者：
裴亮 [1 ]
李文杰 [1 ]
谭阳 [1 ]
机构：
[1] School of Geomatics,Liaoning Technical University,Fuxin 123000,China
来源：
International Journal of Coal Science & Technology | 2008年 / 04期
关键词：
mining subsidence; D-InSAR technology; monitoring;
D O I：
暂无
中图分类号：
TD325.4 [];
学科分类号：
0819 ;
摘要：
Along with the increasing demand for coal and the great importance attached to mine safety,gaining the information of mine surface distortion timely has already become an urgent need to guarantee the safety of mine production.D-InSAR technology is a new measure which can provide the information of surface distortion in mining areas at centi- meter level through the processing of SAR image gained from radar satellite.In addition, this technology has the advantage of monitoring large areas with no weather limit.Intro- duced the basic principle and data processing steps of D-InSAR systematically and ac- quired the differential interferometry based on case study data.The advantages of D-InSAR and it’s usability in monitoring mining subsidence in coal mining areas were proved.
引用
收藏
页码：591 / 593
页数：3
相关论文
共 50 条
  • [11] Deformation Monitoring and Spatiotemporal Evolution of Mining Area with Unmanned Aerial Vehicle and D-InSAR Technology
    Tan, Hao
    Yu, Xuexiang
    Zhu, Mingfei
    Guo, Zhongchen
    Chen, Hengzhi
    MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [12] Monitoring city subsidence by D-InSAR in Tianjin area
    Tao, L
    Liu, JN
    Liao, MS
    Kuang, SJ
    Lu, X
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 3333 - 3336
  • [13] D-InSAR Monitoring Method of Mining Subsidence Based on Boltzmann and Its Application in Building Mining Damage Assessment
    Lei Wang
    Chaoqun Teng
    Kegui Jiang
    Chuang Jiang
    Shangjun Zhu
    KSCE Journal of Civil Engineering, 2022, 26 : 353 - 370
  • [14] D-InSAR Monitoring Method of Mining Subsidence Based on Boltzmann and Its Application in Building Mining Damage Assessment
    Wang, Lei
    Teng, Chaoqun
    Jiang, Kegui
    Jiang, Chuang
    Zhu, Shangjun
    KSCE JOURNAL OF CIVIL ENGINEERING, 2022, 26 (01) : 353 - 370
  • [15] Mining large-gradient subsidence monitoring using D-InSAR optimized by GNSS
    Fan, Haodi
    Lian, Xugang
    Yang, Wenfu
    Ge, Linlin
    Hu, Haifeng
    Du, Zheyuan
    IMAGING SCIENCE JOURNAL, 2021, 69 (1-4): : 207 - 218
  • [16] A study of mining-induced subsidence in Hebi coalfield based on D-InSAR
    Chao, Ma
    LAND SURFACE REMOTE SENSING II, 2014, 9260
  • [17] Monitoring Method of Surface Subsidence Induced by Inclined Coal Seam Mining Based on Single Line of Sight D-InSAR
    Wang L.
    Jiang C.
    Zhang X.
    Li N.
    Zha J.
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2019, 44 (06): : 814 - 820
  • [18] Using D-InSAR and Offset Tracking Technique to Monitor Mining Subsidence
    Ou, Depin
    Tan, Kun
    Yan, Shiyong
    2016 4RTH INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA), 2016,
  • [19] Subsidence monitoring using D-InSAR and probability integral prediction modelling in deep mining areas
    Fan, H. D.
    Cheng, D.
    Deng, K. Z.
    Chen, B. Q.
    Zhu, C. G.
    SURVEY REVIEW, 2015, 47 (345) : 438 - 445
  • [20] Research on Surface Deformation of Ordos Coal Mining Area by Integrating Multitemporal D-InSAR and Offset Tracking Technology
    Yao, Jiaming
    Yao, Xin
    Wu, Zuoqi
    Liu, Xinghong
    JOURNAL OF SENSORS, 2021, 2021
12345