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Potential of remote sensing techniques for tsunami hazard and vulnerability analysis – a case study from Phang-Nga province, Thailand

Römer, Hannes and Willroth, Philipp and Kaiser, Gunilla and Diez, Javier Revilla and Ludwig, Ralf and Vafeidis, Anthanasios (2012) Potential of remote sensing techniques for tsunami hazard and vulnerability analysis – a case study from Phang-Nga province, Thailand. Natural Hazards and Earth System Sciences (NHESS), 12, pp. 2103-2126. Copernicus Publications. DOI: 10.5194/nhess-12-2103-2012 ISSN 1561-8633

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Official URL: http://www.nat-hazards-earth-syst-sci.net/12/2103/2012/

Abstract

Recent tsunami disasters, such as the 2004 Indian Ocean tsunami or the 2011 Japan earthquake and tsunami, have highlighted the need for effective risk management. Remote sensing is a relatively new method for risk analysis, which shows significant potential in conducting spatially explicit risk and vulnerability assessments. In order to explore and discuss the potential and limitations of remote sensing techniques, this paper presents a case study from the tsunami affected Andaman Sea coast of Thailand. It focuses on a local assessment of tsunami hazard and vulnerability, including the socio-economic and ecological components. High resolution optical data, including IKONOS data and aerial imagery (MFC-3 camera) as well as different digital elevation models, were employed to create basic geo-data including land use and land cover (LULC), building polygons and topographic data sets and to provide input data for the hazard and vulnerability assessment. Results show that the main potential of applying remote sensing techniques and data derives from a synergistic combination with other types of data. In the case of hazard analysis, detailed LULC information and the correction of digital surface models (DSMs) significantly improved the results of inundation modeling. The vulnerability assessment showed that remote sensing can be used to spatially extrapolate field data on socio-economic or ecological vulnerability collected in the field, to regionalize exposure elements and assets and to predict vulnerable areas. Limitations and inaccuracies became evident regarding the assessment of ecological resilience and the statistical prediction of vulnerability components, based on variables derived from remote sensing data.

Item URL in elib:https://elib.dlr.de/85543/
Document Type:Article
Title:Potential of remote sensing techniques for tsunami hazard and vulnerability analysis – a case study from Phang-Nga province, Thailand
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Römer, Hanneshannes.roemer (at) dlr.deUNSPECIFIED
Willroth, PhilippInstitute of Economic and Cultural Geography, Leibniz University of Hannover, GermanyUNSPECIFIED
Kaiser, GunillaNorwegian Geotechnical Institute, Oslo, NorwayUNSPECIFIED
Diez, Javier RevillaInstitute of Geography, Christian-Albrechts-Universität Kiel, GermanyUNSPECIFIED
Ludwig, RalfDepartment of Geography, Ludwig-Maximilians-University, Munich, GermanyUNSPECIFIED
Vafeidis, AnthanasiosInstitute of Geography, Cluster of Excellence The Future Ocean, Christian-Albrechts-Universitä Kiel, GermanyUNSPECIFIED
Date:28 June 2012
Journal or Publication Title:Natural Hazards and Earth System Sciences (NHESS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:12
DOI :10.5194/nhess-12-2103-2012
Page Range:pp. 2103-2126
Publisher:Copernicus Publications
ISSN:1561-8633
Status:Published
Keywords:tsunami, vulnerability, hazard analysis, risk, remote sensing, socio-economic
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Römer, Hannes
Deposited On:22 Nov 2013 10:43
Last Modified:12 Dec 2013 22:16

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