Vol. 8, No. 1, 53-63, 2009

Risk and vulnerability assessment to tsunami hazard using very high resolution satellite data: The case study of Padang, Indonesia
Hannes Taubenböck, Joachim Post, Ralph Kiefl, Achim Roth, Febrin A. Ismail, Günter Strunz and Stefan Dech

Abstract
Tsunamis are an ever-present threat to lives, infrastructure, and property along the coasts of the worldÂ’s oceans. Recent tsunamis deeply impacted the shores of Indonesia, calling for early warning systems as well as risk and vulnerability assessment as basis for mitigation strategies, evacuation planning and rehabilitation organisation. Research on tsunamis focuses on tsunami generation, wave propagation, inundation and interactions with structures. This study is focusing on the latter, using the capabilities of high resolution satellite data to assess tsunami vulnerability in urban areas. Based on an object-oriented land-cover classification the physical urban morphology is structured using parameters like built-up density, function, building sizes or location. The distribution of a total population following the structural characteristics of an urban morphology is determined by assuming a dependency between numerical and spatial units. Using the derived physical and demographic parameters, risk and vulnerability patterns are calculated for the tsunami exposed coastal city of Padang, Indonesia. The aim is to support the preparation of an action plan for evacuation based on the spatial risk and vulnerability analysis of the derived layers. This spatial knowledge enables the identification of safe areas, the location and amount of affected people and houses, or the planning of space-oriented evacuation routes.

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History
Submitted: 29 Jan 2008
Revised: 25 Mar 2009
Accepted: 20 Apr 2009
Published: 04 Jun 2009
Responsible editor: Carsten Jürgens

Citation
Taubenböck H, J Post, R Kiefl, A Roth, F A Ismail, G Strunz & S Dech, 2009. Risk and vulnerability assessment to tsunami hazard using very high resolution satellite data: The case study of Padang, Indonesia. EARSeL eProceedings, 8(1): 53-63

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EARSeL European Association of Remote Sensing Laboratories, Strasbourg, France

   
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BIS-Verlag
BIS Library and Information System, Carl von Ossietzky University of Oldenburg

 

ISSN 1729-3782