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
Link To Document