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

Geoinformatics(2013)

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摘要
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.
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关键词
chetumal,storms,pattern clustering,cancun,building structure classification,disasters,spatial clusters,hazard mapping,mexico,mapping,image recognition,disaster management,planning,artificial satellites,spatial decision support (sds),hurricane hazards,design engineering,poor design,classification,building structure quality,building materials,buildings (structures),high spatial resolution satellite image,hazards,hurricanes,spatial resolution,satellites
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