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

T. Tang, E. Montes, Maundud Omar, E. Snyder, Aaron Boci
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引用次数: 1

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.
基于高空间分辨率卫星图像的建筑结构分类,用于绘制对飓风灾害的准备情况,墨西哥坎昆和切图马尔
本研究利用高空间分辨率卫星图像,对墨西哥坎昆和切图马尔低质量建筑结构的空间集群进行了分析。本研究的目的是可视化两个城市建筑结构的脆弱区域,希望有助于规划灾害管理和减轻飓风事件造成的损失。针对五项主要建筑结构质量标准,建立了五类分类方案。结合现场采样和最大似然图像像素聚类测试,结果表明,飓风事件中财产和人员生命损失可能与建筑结构质量和设计密切相关。建筑材料质量低,设计差,特别是低收入家庭的自建房屋面临的风险要高得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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