• DocumentCode
    410632
  • Title

    Trial to estimate regional characteristics for seismic risk assessment using IKONOS satellite image

  • Author

    Hasegawa, Kouichi ; Watanabe, Manabu ; Hayashi, Haruo

  • Author_Institution
    Earthquake Disaster Mitigation Res. Center, NIED, Hyogo, Japan
  • Volume
    2
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    1305
  • Abstract
    The purpose of this study is to develop a method to estimate the quantity of buildings with different seismic vulnerability by using the digital numbers obtained IKONOS. In developing countries, it is difficult to get the building inventory data for seismic risk assessment. In this paper, IKONOS image was chosen for analysis because of its resolution with 1 m and the availability of such data for the major cities in earthquake prone developing countries. IKONOS image of Metro Manila in Philippines was separated into grid cells with 25 m. The pattern of frequency distribution of the digital number for each of four bands subjected to cluster analysis to yield a set of land cover grids with different natural and built environments. We could successfully identify the following different land covers: river, grass, trees, grounds and road, in addition to three kinds of buildings; small, medium, and large. As to the building size of each land cover classification, building inventory stored in GIS data set offered by NAMRIA, Philippines was used to identify the thresholds for different building size.
  • Keywords
    earthquakes; geographic information systems; geophysical techniques; seismology; terrain mapping; GIS; IKONOS satellite image; Metro Manila; Philippines; buildings; cluster analysis; earthquake; grass; grounds; land covers; river; road; seismic risk assessment; seismic vulnerability; trees; Availability; Cities and towns; Earthquakes; Frequency; Image analysis; Image resolution; Pattern analysis; Risk management; Rivers; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1294091
  • Filename
    1294091