• DocumentCode
    3324762
  • Title

    PS-InSAR time series analysis for measuring surface deformation before the L´Aquila earthquake

  • Author

    Liu, Bin ; Luo, Yi ; Zhang, Jingfa ; Gong, Lixia ; Jiang, Wenliang ; Ren, Liyan

  • Author_Institution
    Inst. of Eng. Mech., China Earthquake Adm., Harbin, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4604
  • Lastpage
    4607
  • Abstract
    L´Aquila area has a high topography and complex geological structures, and is covered with thick vegetation and snow in areas of high topography. To monitor the characteristics of crustal deformation in this region before the 2009 L´Aquila earthquake, we apply StaMPS software to analyse 20 descending ASAR images acquired between September 2003 and March 2007 and 39 ascending ASAR images acquired between February 2003 and March 2009. In this paper, two mean LOS deformation velocity maps are acquired for this area, which reveal the same deformation pattern. Several deformation gradient in this area can be clearly identified, furthermore, we discover that most faults in this region may strike approximately NW-SE and dip <; 90° to SW. We also draw the conclusion that descending SAR images are superior to ascending ones in monitoring crustal deformation with InSAR in this region.
  • Keywords
    Earth crust; earthquakes; faulting; geomorphology; geophysical image processing; geophysics computing; radar interferometry; seismology; snow; synthetic aperture radar; time series; topography (Earth); vegetation; AD 2003 02; AD 2003 09; AD 2007 03; AD 2009; AD 2009 03; ASAR images; Italy; L´Aquila area; LAquila earthquake; LOS deformation velocity maps; PS-InSAR time series analysis; StaMPS software; complex geological structures; crustal deformation; deformation gradient; deformation pattern; faults; snow; surface deformation; topography; vegetation; Earthquakes; Geophysical measurements; Monitoring; Satellites; Spaceborne radar; Surfaces; InSAR; L´Aquila earthquake; PS-InSAR; deformation; fault;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5650971
  • Filename
    5650971