Application of Remote Sensing for Tsunami Disaster

Application of Remote Sensing for Tsunami Disaster
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海啸灾害遥感应用

DOI:
10.5772/32136
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发表时间:
2012
期刊:
--
影响因子:
--
通讯作者:
D. Kamthonkiat
D. Kamthonkiat
中科院分区:
--
文献类型:
--
作者:
A. Suppasri;S. Koshimura;M. Matsuoka;H. Gokon;D. Kamthonkiat

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本章旨在介绍遥感技术在近期海啸灾害中的应用。过去,获取海啸损害信息仅限于实地调查和/或使用航空照片。近十年来,遥感在海啸研究中得到了广泛的应用,如海啸损伤检测。卫星遥感可以在许多方面帮助我们调查海啸造成的破坏。一般来说,根据时间和灾害相关信息的不同,遥感在海啸灾害中的应用可分为三个阶段。在第一阶段,利用GIS中结合地面真实信息的分析,可以迅速获得海啸淹没极限等一般损害信息。海啸淹没区域是海啸发生后最重要的信息类型之一,因为它有助于估计海啸影响的规模。前往受海啸影响的地区进行实地调查需要花费很多时间,因为那里有受损的道路和桥梁,还有很多碎片作为障碍。在第二阶段,可以分析详细的损伤解释;即,建筑物损坏等级的分类。近年来,商业卫星图像的质量有所提高。这些图像帮助我们澄清,例如,房子是被冲走还是幸存下来;他们甚至可以划分更多的伤害等级。第三阶段结合了从数值模拟中获得的损害和危害信息,例如海啸淹没深度。灾害数据与海啸灾害数据通过GIS进行汇总。最后,可以开发海啸脆弱性函数。该功能是评估未来海啸风险的必要工具。
This chapter aims to introduce an application of remote sensing to recent tsunami disasters. In the past, acquiring tsunami damage information was limited to only field surveys and/or using aerial photographs. In the last decade, remote sensing was applied in many tsunami researches, such as tsunami damage detection. Satellite remote sensing can help us survey tsunami damage in many ways. In general, the application of remote sensing for tsunami disasters can be classified into three stages depending on time and disaster-related information. In the first stage, general damage information, such as tsunami inundation limits, can be obtained promptly using an analysis combined with ground truth information in GIS. The tsunami inundation area is one of the most important types of information in the immediate aftermath of a tsunami because it helps estimate the scale of the tsunami’s impact. Travel to a tsunami-affected area for field surveys takes a lot of time, given the presence of damaged roads and bridges, with much debris as obstacles. In the second stage, detailed damage interpretation can be analysed; i.e., classification of the building damage level. Recently, the quality of commercial satellite images has improved. These images help us clarify, i.e., whether a house was washed away or survived; they can even classify more damage levels. The third stage combines the damage and hazard information obtained from a numerical simulation, such as the tsunami inundation depth. The damage data are compiled with the tsunami hazard data via GIS. Finally, a tsunami vulnerability function can be developed. This function is a necessary tool for assessing future tsunami risk.
DOI: --
发表时间: 2011
期刊: Developing tsunami fragility curves based on the satellite remote sensing and the numerical modeling of the 2004 Indian Ocean tsunami in Thailand
影响因子: --
作者:
Suppasri;S.Koshimura;F.Imamura
通讯作者: F.Imamura
DOI: 10.1038/364138a0
发表时间: 1993-07-08
期刊: NATURE
影响因子: 64.8
作者:
MASSONNET, D;ROSSI, M;RABAUTE, T
通讯作者: RABAUTE, T