Using Remote Sensing for Identifying Suitable Areas for Flood Shelter: A Case Study of Thatta, Sindh Pakistan

Umer Saleem, Takeshi Mizunoya, Y. Helmut, Ammara Ajmal
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引用次数: 2

Abstract

The most recurring type of disaster in the world these days is flood because of the spread and extent of its effect on people, among all-natural disasters of the world. Human activities have paved the way for many of these flood behavior to change as they used to be in the past. Pakistan experienced one of the most devastating natural disasters in its history all across the country in 2010, but Thatta district in southern part got severely affected during this flood. For the research, a simple yet efficient methodology Normalized Difference Vegetation Index (NDVI) by using remote sensing images for identifying flood hazard areas was utilized. Geographic Information Systems (GIS) helps in finding shelter areas with a minimum effect of floods. It is essential to realize the importance of mapped results in consideration of manual flood management in future. The method used in this study is robust enough to explain the flood hazard for suggesting suitable shelter sites in case of flooding events. This would help disaster management bodies and other related agencies to formulate the development plans while keeping the hazard areas, which are unsuitable for development due to flood risk in the future.
利用遥感技术确定适合防洪的地区:以巴基斯坦信德省塔塔为例
当今世界上最常见的灾害类型是洪水,因为它对人类的影响范围和程度是世界上所有自然灾害中最广泛的。人类活动已经为许多这些洪水行为的改变铺平了道路,就像它们过去一样。2010年,巴基斯坦全国经历了历史上最具破坏性的自然灾害之一,但南部的塔塔地区在这次洪水中受到严重影响。本研究采用一种简单有效的遥感影像归一化植被指数(NDVI)识别洪涝灾害区域的方法。地理信息系统(GIS)有助于寻找受洪水影响最小的避难所。认识到地图结果在未来人工洪水管理中的重要性是十分必要的。本研究中使用的方法具有足够的鲁棒性,可以解释洪水灾害,为洪水事件提供合适的避难地点。这将有助于灾害管理机构和其他相关机构制定发展计划,同时保留由于未来洪水风险而不适合发展的危险区域。
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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