Vulnerability assessment towards tsunami threats using multisensoral remote sensing data

机译：使用多传感器遥感数据评估海啸威胁的脆弱性

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The occurrence of a tsunami, a set of oceans waves caused by any large, abrupt disturbance of the sea surface, hitting a vulnerable system on land can cause massive loss of life, destruction of coastal infrastructure and disruption of economic activity. Vulnerability assessment and risk modelling are important components for an effective end-to-end hazard early warning system and therefore contribute significantly to disaster risk reduction. The focus of this study is on the capabilities and synergistic usage of multisensoral remotely sensed data to contribute to these complex tasks. We use medium and high resolution optical satellite data (Landsat and Ikonos), high resolution radar data from TerraSAR-X as well as a digital elevation model to provide multiple products for the assessment of spatial vulnerability in case of a tsunami impact on the heterogeneous and highly structured coastal urban area of Padang, Indonesia. Results include physical indicators like dimension and location of urbanization, quantification of potentially affected buildings, the identification of safe areas as well as a time-dependent population assessment.

机译：海啸的发生是由任何大的，突然的海面扰动引起的海浪，袭击了脆弱的陆地系统会导致严重的生命损失，沿海基础设施破坏和经济活动中断。脆弱性评估和风险建模是有效的端到端危害预警系统的重要组成部分，因此对于减少灾难风险做出了重要贡献。这项研究的重点是多传感器遥感数据对这些复杂任务的贡献和协同使用。我们使用中等和高分辨率的光学卫星数据（Landsat和Ikonos），TerraSAR-X的高分辨率雷达数据以及数字高程模型来提供多种产品，以评估海啸对异质卫星和海啸的影响。印度尼西亚巴东的高度结构化沿海城市地区。结果包括物理指标，例如城市化的规模和位置，可能受影响的建筑物的量化，安全区域的识别以及随时间变化的人口评估。

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《Remote sensing for environmental monitoring, GIS applications, and geology IX》|2010年|P.74781J.1-74781J.11|共11页
会议地点 Berlin(DE)
作者
Hannes Taubenboeck; rnMichael Wurm; rnJoachim Post; rnAchim Roth; rnGuenter Strunz; rnStefan Dech;
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作者单位

German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany Julius-Maximilians-Universitaet Wurzburg, Department of Geography, Am Hubland,97074 Wuerzburg, Germany;

rnGerman Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany Julius-Maximilians-Universitaet Wurzburg, Department of Geography, Am Hubland,97074 Wuerzburg, Germany;

rnGerman Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany;

rnGerman Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany;

rnGerman Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany;

rnGerman Remote;

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原文格式 PDF
正文语种 eng
中图分类环境遥感;
关键词
risk and vulnerability assessment; remote sensing; change detection; population estimation; tsunami hazard;

机译：风险和脆弱性评估；遥感;变更检测；人口估计；海啸危害;

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专利

1. Assessing building vulnerability to earthquake and tsunami hazard using remotely sensed data [J] . Mueck M., Taubenboeck H., Post J., Natural Hazards . 2013,第1期

机译：使用遥感数据评估建筑物对地震和海啸危害的脆弱性
2. Estimation of Tsunami Hazard Vulnerability Factors by Integrating Remote Sensing, GIS and AHP Based Assessment [J] . Mohammad Reza Poursaber, Yasuo Ariki Open Access Library Journal . 2016,第4期

机译：结合遥感，GIS和AHP评估评估海啸危险因素
3. Remote sensing and spatial multi-criteria analysis for tsunami vulnerability assessment [J] . Abu Bakar Sambah, Fusanori Miura Disaster prevention and management . 2014,第3期

机译：遥感和空间多准则分析，用于海啸脆弱性评估
4. Vulnerability assessment towards tsunami threats using multisensoralremote sensing data [C] . Hannes Taubenbock, Michael Wurm, Joachim Post, SPIE Conference on Remote Sensing for Environmental Monitoring, GIS Applications, and Geology . 2009

机译：使用多体形remote传感数据对海啸威胁的漏洞评估
5. Using Remotely Sensed Data and Decision Tree Classifiers to Determine if the Changes in Accra, Ghana are Concentrated in the Most Vulnerable Areas. [D] . Ashcroft, Eric. 2012

机译：使用遥感数据和决策树分类器来确定加纳阿克拉的变化是否集中在最脆弱的地区。
6. Biodiversity assessment at multiple scales: Linking remotely sensed data with field information [O] . Harini Nagendra, Madhav Gadgil 1999

机译：多尺度的生物多样性评估：将遥感数据与实地信息联系起来
7. Derivation of population distribution for vulnerability assessment in flood-prone German cities using multisensoral remote sensing data [O] . Michael Wurm, Hannes Taubenböck, Susanne Krings, 2009

机译：利用多用户遥感数据推导洪水易受德国城市漏洞评估的衍生

Vulnerability assessment towards tsunami threats using multisensoral remote sensing data

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