• DocumentCode
    3107269
  • Title

    Earthquake damage assessment from post-event VHR radar data: From Sichuan, 2008 to Haiti, 2010

  • Author

    Dell´Acqua, Fabio ; Gamba, Paolo ; Polli, Diego Aldo

  • Author_Institution
    Remote Sensing Sect., EUCENTRE, Pavia, Italy
  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    Earth Observation (EO) systems have demonstrated their usefulness in supporting intervention and relief actions in the event of extensive disasters. In the case of earthquakes, exploitation of EO data for damage assessment purposes has been proposed under various forms. Several EO-based damage maps have been presented after every event, mostly based on optical data and manual interpretation. Though, the use of weather-independent radar data and automated methods would significantly advance the exploitability of EO data in this context. Some interesting links have already been highlighted, between post-event texture measures and the damage averaged at block level, when Very High Resolution radar images of earthquake-stricken areas. With a record of at least three events, it is now time to wrap up some facts.
  • Keywords
    data analysis; disasters; earthquakes; geophysical image processing; geophysical techniques; remote sensing by radar; AD 2008 05 12; AD 2010 01 12; China; EO-based damage map; Earth observation data exploitation; Earth observation system; Haiti; Sichuan; VHR radar data analysis; automated method; earthquake damage assessment; earthquake-stricken area; optical data analysis; post-event texture measurement; very high resolution radar image; weather-independent radar data; Accuracy; Earthquakes; Entropy; High definition video; Neodymium; Radar; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event (JURSE), 2011 Joint
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4244-8658-8
  • Type

    conf

  • DOI
    10.1109/JURSE.2011.5764755
  • Filename
    5764755