• DocumentCode
    513125
  • Title

    Experiences in optical and SAR imagery analysis for damage assessment in the Wuhan, may 2008 earthquake

  • Author

    Dell´Acqua, F. ; Lisini, G. ; Gamba, P.

  • Author_Institution
    Dept. of Electron., Univ. of Pavia, Pavia, Italy
  • Volume
    4
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    The Sichuan Earthquake on the 12th of May 2008, and the extensive rescue operations following this tragic event, proved the value of high-resolution optical and radar remote sensing during the emergency response. Optical data provide a fast and simple way to value ¿at glance¿ damages while radar sensors can deliver images independent of weather conditions, day and night, and thus in principle can represent a mean to obtain a damage map in the immediate aftermath of an event, providing precious information for intervention planning. On the other hand, SAR data is far more difficult to interpret than optical data both to the expert and non-expert. In this paper we present a case study of damage assessment on the Sichuan earthquake experimenting the use of very high resolution data from both worlds, discussing preliminary results and perspectives.
  • Keywords
    disasters; earthquakes; emergency services; geophysical image processing; remote sensing; synthetic aperture radar; AD 2008 05 12; SAR imagery analysis; Sichuan earthquake; Wuhan; damage assessment; emergency response; extensive rescue operations; intervention planning; optical imagery analysis; radar sensors; Buildings; Earthquakes; Electromagnetic reflection; Image analysis; Laser radar; Optical reflection; Optical sensors; Radar remote sensing; Satellites; Shape; Disaster management; earthquake damage assessment; optical data; radar data; very high resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417603
  • Filename
    5417603