• DocumentCode
    143176
  • Title

    Detecting building damage caused by the 2011 Tohoku earthquake tsunami using TerraSAR-X data

  • Author

    Gokon, Hideomi ; Koshimura, Shunichi ; Post, Joachim ; Geis, Christian ; Stein, Enrico ; Matsuoka, Masashi

  • Author_Institution
    Grad. Sch. of Eng., Tohoku Univ., Sendai, Japan
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1851
  • Lastpage
    1854
  • Abstract
    In this study, a semi-automated method to estimate building damage in a tsunami affected area is developed using pre- and post-event high-resolution synthetic aperture radar (TerraSAR-X) data. For development, some coastal areas affected by the 2011 Tohoku earthquake tsunami were focused. The method for estimating building damage consists of three steps, 1) To detect flooded areas by the tsunami, 2) To detect built-up areas, 3) To estimate building damage inside the flooded built-up areas. The previously proposed methods using high-resolution SAR data needs building footprint data for estimating building damage[1]. However, this problem was improved by developing a new method which does not need building footprint data to estimate building damage caused by the tsunami. The developed method was validated on the other test sites and the estimated results showed good consistency with the ground truth data.
  • Keywords
    earthquakes; synthetic aperture radar; terrain mapping; tsunami; AD 2011; TerraSAR-x data; Tohoku earthquake tsunami; building damage; building damage detection; flooded built-up areas; ground truth data; high-resolution SAR data; postevent high-resolution synthetic aperture radar data; preevent high-resolution synthetic aperture radar data; semiautomated method; tsunami affected area; Buildings; Cities and towns; Correlation; Earthquakes; Speckle; Synthetic aperture radar; Tsunami; Building damage; Remote sensing; TerraSAR-X; The 2011 Tohoku earthquake tsunami;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946816
  • Filename
    6946816