INSAR DEFORMATION TIME SERIES ANALYSIS USING SMALL-BASELINE APPROACH

被引：3
|
作者：
Li, Yongsheng [1 ,2 ]
Zhang, Jingfa [2 ]
Luo, Yi [2 ]
Gong, Lixia [2 ]
机构：
[1] China Earthquake Adm, Inst Engn Mech, Harbin 150080, Peoples R China
[2] China Earthquake Adm, Inst Crustal Dynam, Beijing 100085, Peoples R China
来源：
2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年
关键词：
Yangbajing geothermal; subsidence; SBAS InSAR; time series; SUBSIDENCE; ALGORITHM;
D O I：
10.1109/IGARSS.2013.6723033
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：
The crustal activities in Dangxiong basin are frequent and a great deal of geothermal energy is converged under the surface. The geothermic resources are used through the exploitation of underground water. Over-extraction of underground fluids causes the subsidence in the geothermal fields. We present the application of small-baseline InSAR time series method to monitor the land surface subsidence and spatial-temporal evolution in Yangbajing. Our data consists of 24 ASAR images acquired from ENVISAT satellite, spanning a time interval from Oct 2006 to Aug 2010. The results show that the maximum surface subsidence rate of the geothermal region is up to 15 mm/yr whilst subsidence rate in other fields is approximately 6 mm/yr.
引用
收藏
页码：1352 / 1355
页数：4
相关论文
共 50 条
  • [1] InSAR Deformation Time Series Using an L1-Norm Small-Baseline Approach
    Lauknes, Tom R.
    Zebker, Howard A.
    Larsen, Yngvar
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2011, 49 (01): : 536 - 546
  • [2] Study of subsidence monitoring in Nanjing City with small-baseline InSAR approach
    Qiu, Zhiwei
    Jiang, Tingchen
    Zhou, Li
    Wang, Chenxi
    Luzi, Guido
    GEOMATICS NATURAL HAZARDS & RISK, 2019, 10 (01) : 1412 - 1424
  • [3] Monitoring ground deformation in Urumqi using small baseline time series InSAR technique
    Wu, Hong'an
    Zhang, Yonghong
    Guo, Ming
    Lu, Jufeng
    MIPPR 2013: MULTISPECTRAL IMAGE ACQUISITION, PROCESSING, AND ANALYSIS, 2013, 8917
  • [4] SSBAS-InSAR: A Spatially Constrained Small Baseline Subset InSAR Technique for Refined Time-Series Deformation Monitoring
    Yu, Zhigang
    Zhang, Guanghui
    Huang, Guoman
    Cheng, Chunquan
    Zhang, Zhuopu
    Zhang, Chenxi
    REMOTE SENSING, 2024, 16 (18)
  • [5] Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction
    Zhang Yunjun
    Fattahi, Heresh
    Amelung, Falk
    COMPUTERS & GEOSCIENCES, 2019, 133
  • [6] DEM corrections before unwrapping in a small baseline strategy for InSAR time series analysis
    1600, Institute of Electrical and Electronics Engineers Inc., United States (11):
  • [7] DEM Corrections Before Unwrapping in a Small Baseline Strategy for InSAR Time Series Analysis
    Ducret, Gabriel
    Doin, Marie-Pierre
    Grandin, Raphael
    Lasserre, Cecile
    Guillaso, Stephane
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (03) : 696 - 700
  • [8] DEM CORRECTIONS BEFORE UNWRAPPING IN A SMALL BASELINE STRATEGY FOR INSAR TIME SERIES ANALYSIS
    Ducret, Gabriel
    Doin, Marie Pierre
    Grandin, Raphael
    Lasserre, Cecile
    Guillaso, Stephane
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 1353 - 1356
  • [9] Land subsidence in Beijing city from InSAR time series analysis with small baseline subset
    Li, Yongsheng
    Zhang, Jingfa
    Li, Zhenhong
    Luo, Yi
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2013, 38 (11): : 1374 - 1377
  • [10] Slope Instability Detection Along the National 7 and the Potrerillos Dam Reservoir, Argentina, Using the Small-Baseline InSAR Technique
    Michoud, Clement
    Baumann, Valerie
    Derron, Marc-Henri
    Jaboyedoff, Michel
    Lauknes, Tom Rune
    ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 2: LANDSLIDE PROCESSES, 2015, : 295 - 299
12345