• DocumentCode
    3445493
  • Title

    Classification of building structures on high spatial resolution satellite image for mapping the readiness to hurricane hazards, Cancun and Chetumal, Mexico

  • Author

    Tao Tang ; Montes, Elias ; Omar, Murad ; Snyder, Eric ; Boci, Aaron

  • Author_Institution
    Dept. of Geogr. & Planning, State Univ. of New York - Buffalo State, Buffalo, NY, USA
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This research analyzes the spatial clusters of low quality building structures in Cancun and Chetumal, Mexico applying high spatial resolution satellite images. The objective of this research is to visualize the vulnerable areas of building structures in the two cities, in hopes of helping for the planning the disaster management and mitigating damages during a hurricane event. Five categories of classification schemes were established for five major building structures quality criteria. Combining field sampling and maximum likelihood image pixel clustering testing, the results show that property and human life loss during a hurricane event are likely strongly associated with building structure quality and design. Low quality of building materials with poor design, in particular the self-built houses of low income families encounter much higher risk.
  • Keywords
    artificial satellites; building materials; buildings (structures); classification; design engineering; disasters; image recognition; pattern clustering; storms; Cancun; Chetumal; Mexico; building materials; building structure classification; disaster management; high spatial resolution satellite image; hurricane hazards; mapping; planning; poor design; spatial clusters; Buildings; Cities and towns; Hazards; Hurricanes; Planning; Satellites; Spatial resolution; building structure quality; hazard mapping; high spatial resolution satellite image; spatial decision support (SDS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
  • Conference_Location
    Kaifeng
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/Geoinformatics.2013.6626086
  • Filename
    6626086