• DocumentCode
    2318520
  • Title

    SAR interferometry for long term deformation mapping using SBAS method: A case study in Nanjing area

  • Author

    Huang Qihuan ; He Xiufeng

  • Author_Institution
    Inst. of Satellite Navig. & Spatial Inf. Syst., Hohai Univ., Nanjing
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Synthetic aperture radar interferometry (InSAR) is a novel remote sensing technique to measure earth surface deformation, it is capable of obtaining dense information related to the deformation of a large area quickly, economically and effectively. However, Conventional InSAR technique is easily suffered from both spatial and temporal decorrelation which limits its application, especially for long term deformation mapping. In this paper, a Small BAseline Subset (SBAS) InSAR approach, which generates interferograms between two SAR images with small spatial baseline was presented, this approach can reduce both spatial and temporal decorrelation for long term deformation using a data set of SAR images acquired subsequently; deformation maps and displacement time series of the Nanjing City, P. R. China was generated with SBAS approach. Results of 13 differential interferograms generated by 8 SAR images in Nanjing from August 1996 to April 2000, demonstrate its efficiency.
  • Keywords
    deformation; geodesy; radar interferometry; remote sensing by radar; synthetic aperture radar; AD 1996 08 to 2000 04; Earth surface deformation; Nanjing area; SAR interferometry; SBAS method; differential interferograms; long term deformation mapping; remote sensing; small baseline subset InSAR approach; spatial decorrelation; synthetic aperture radar interferometry; temporal decorrelation; Area measurement; Cities and towns; Decorrelation; Helium; Information systems; Radar interferometry; Remote sensing; Satellite navigation systems; Synthetic aperture radar; Synthetic aperture radar interferometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137478
  • Filename
    5137478