• DocumentCode
    3341836
  • Title

    Study on road damage assessment based on RS and GIS

  • Author

    Li, Jun ; QIN, Qiming ; Ma, Haijian ; Yuan, Weilin

  • Author_Institution
    Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4534
  • Lastpage
    4537
  • Abstract
    After the occurrence of natural disasters, objective and accurate assessment of road damage is the key to emergency rescue. However, in the traditional road damage assessment, the assessment factor and the form of assessment result are single. It can only give an overview of damaged roads, but can´t further provide their traffic capacities, which are essential for the disaster relief department. A new approach of road damage assessment is presented in this paper. The damage levels are graded based on the magnitude of actual traffic capacities of post-disaster roads, and the detailed damage information is output at three levels - damage block level, single-road level and region level. The proposed method is applied in the damage assessment of roads in Wenchuan County, China, which was hit by an 8.0-magnitude earthquake. The experimental result shows the validity of this method.
  • Keywords
    disasters; earthquakes; emergency services; geographic information systems; geophysical image processing; road traffic; structural engineering computing; China; GIS; Wenchuan County; assessment factor; damage block level; damage level; disaster relief; earthquake damage evaluation; emergency rescue; natural disaster; post-disaster road; remote sensing; road damage assessment; single-road level; traffic capacity; Accuracy; Earthquakes; Indexes; Object oriented modeling; Pixel; Remote sensing; Roads; Earthquake damage evaluation; Remote sensing; Road damage assessment;
  • 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.2010.5651949
  • Filename
    5651949