Urban subsidence observed by InSAR in Tianjin region

被引：5
|
作者：
Zhang Shiyu [1 ]
Li Tao [1 ]
Liu Jingnan [1 ]
Liu Youwen [1 ]
Shao Lianjun [1 ]
Xia Ye [2 ]
机构：
[1] Wuhan Univ, GNSS Res Ctr, Wuhan, Hubei, Peoples R China
[2] Geo Forschungzentrum, Potsdam, Germany
来源：
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年
关键词：
urban subsidence; interferograms; D-InSAR; leveling surveys;
D O I：
10.1109/IGARSS.2007.4423242
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we present the results of D-InSAR technique and conventional leveling at selected area in Tianjin city, using 8 ENVISAT SAR images between 17 October 2003 and 17 February 2005. The D-InSAR results show that the subsidence rate reached over 5cm/year (7cm within 16 months) in highly sinking area, and it is consistent with leveling results. D-InSAR is able to provide more details of urban subsidence, and it is supplement to leveling surveys in those areas with sparse leveling benchmarks.
引用
收藏
页码：2078 / +
页数：3
相关论文
共 50 条
  • [41] A model for extracting large deformation mining subsidence using D-InSAR technique and probability integral method
    Fan, Hong-dong
    Gu, Wei
    Qin, Yong
    Xue, Ji-qun
    Chen, Bing-qian
    TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA, 2014, 24 (04) : 1242 - 1247
  • [42] Refined subsidence monitoring and dynamic prediction in narrow and long mining areas based on InSAR and probabilistic integral method
    Wang, Zhiwei
    Zhao, Yue
    Wang, Peng
    Wang, Xiang
    Jiang, Aihui
    Zhang, Guojian
    Li, Wanqiu
    Liu, Jiantao
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [43] C-BAND D-INSAR AND FIELD DATA FOR CALIBRATING A GROUNDWATER FLOW AND LAND SUBSIDENCE MODEL
    Calderhead, Angus I.
    Martel, Richard
    Rivera, Alfonso
    Garfias, Jaime
    Alasset, Pierre-Jean
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 2529 - 2532
  • [44] A Model for Complex Subsidence Causality Interpretation Based on PS-InSAR Cross-Heading Orbits Analysis
    Mohamadi, Bahaa
    Balz, Timo
    Younes, Ali
    REMOTE SENSING, 2019, 11 (17)
  • [45] Monitoring of urban subsidence in coastal cities: case studies Vancouver and Seattle
    Samsonov, Sergey V.
    Tiampo, Kristy F.
    2016 THIRD INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION PROCESSING, DATA MINING, AND WIRELESS COMMUNICATIONS (DIPDMWC), 2016, : 36 - 39
  • [46] Properties of L-band differential InSAR for monitoring mining-induced subsidence in coalfield of Jining, Northern China
    Tao Qiu-xiang
    Liu Gou-lin
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2014, 21 (04) : 1508 - 1517
  • [47] 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
  • [48] 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
  • [49] Assessment of land subsidence phenomenon in Kolkata city, India using satellite-based D-InSAR technique
    Chatterjee, R. S.
    Roy, P. S.
    Dadhwal, V. K.
    Lakhera, R. C.
    Quang, T. X.
    Saha, R.
    CURRENT SCIENCE, 2007, 93 (01): : 85 - 90
  • [50] Three decades of subsidence monitoring in the Cerro Prieto basin, Mexicali Valley, using multi-temporal InSAR techniques
    Sarychikhina, Olga
    Glowacka, Ewa
    Gonzalez-Ortega, J. Alejandro
    Garcia-Meza, Ignacio F.
    JOURNAL OF SOUTH AMERICAN EARTH SCIENCES, 2025, 156
12345