• DocumentCode
    3346044
  • Title

    Disaster mapping from medium spatial resolution alos palsar images

  • Author

    Dong, Yanfang ; Li, Qi ; Dou, Aixia ; Wang, Xiaoqing

  • Author_Institution
    Inst. of Earthquake Sci., China Earthquake Adm., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    2167
  • Lastpage
    2170
  • Abstract
    All-day and all-weather Synthetic Aperture Radar (SAR) can measure both intensity and phase of the reflected signal. The backscattering coefficients measured by SAR reflect the backscatter characteristics of surface targets. Changes happened to a target´s surface roughness, geometric and structural characteristics will result in the change of its backscattering intensity recorded in SAR image. The 2008 Wenchuan earthquake, China have caused widely distributed geological disasters, such as landslides, mudfloods and barrier lakes, which resulted in the difference between pre- and post-earthquake SAR images. Comparison between the pre- and post-earthquake SAR intensity images will reveal the damage information. In this study, PALSAR Level 1.0 data acquired for the Wenchuan earthquake were used to analyze the geological disasters. Results show that medium spatial resolution SAR data, such as 10 m resolution ALOS PALSAR data, especially when both pre- and post-earthquake images are available, are useful in revealing the distribution of landslides and barrier lakes.
  • Keywords
    backscatter; disasters; earthquakes; image resolution; synthetic aperture radar; Wenchuan earthquake; backscattering coefficients; disaster mapping; medium spatial resolution; palsar images; synthetic aperture radar; Backscatter; Earthquakes; Image color analysis; Lakes; Spatial resolution; Synthetic aperture radar; Terrain factors; Earthquake; PALSAR; SAR; change detection; disaster mapping;
  • 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.2010.5652182
  • Filename
    5652182