elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

Automated assessment of building vulnerability with high resolution IKONOS data for Padang, Indonesia

Kass, Steve and Post, Joachim and Taubenböck, Hannes and Roth, Achim and Strunz, Günter and Stötter, Johann and Mardiatno, D. and Ismail, Febrin and Anwar, Herrial (2007) Automated assessment of building vulnerability with high resolution IKONOS data for Padang, Indonesia. The International Symposium on Disaster in Indonesia: Problems and Solutions, 26-28 July, 2007, Padang, Indoensia.

Full text not available from this repository.

Abstract

The primary objective of this study is the development of an automated process to derive building vulnerability towards tsunami impacts based on an object-based extraction approach using very high resolution (VHR) satellite data. The developed automated process allows transferability to other endangered urban areas for the derivation of spatially distributed information on physical vulnerability indicators (e.g. built environment vulnerability). The city of Padang, Indonesia, with its highly structured endangered urban area, was chosen as test site. High resolution data from the IKONOS sensor were used for this study. First, an object-oriented urban land cover classification was developed. The accuracy assessment resulted in more than 80% correct detected houses. The capabilities of remote sensing enable up-to-date and area-wide spatial information, a promising cost-effective approach for the challenges of managing urban areas. Based on tsunami post disaster field surveys related to building damages conducted by Tsunarisque Project team in the Aceh region after the 26th December 2004 event as well as a field surveys in Padang, building vulnerability classes were defined. The built-up mask of the urban land cover classification was used to assign the defined building vulnerability classes on the whole scene, using spectral information as well as the geometry of features to differentiate those building vulnerability types. The presented study delivers important information on physical vulnerability indicators of the built environment and infrastructure on a high spatial resolution. In combination with modelled tsunami propagation scenarios on land, detailed risk assessment information is obtained and may deliver useful insights for designing disaster risk reduction strategies.

Document Type:Conference or Workshop Item (Paper)
Title:Automated assessment of building vulnerability with high resolution IKONOS data for Padang, Indonesia
Authors:
AuthorsInstitution or Email of Authors
Kass, SteveUNSPECIFIED
Post, JoachimUNSPECIFIED
Taubenböck, HannesUNSPECIFIED
Roth, AchimUNSPECIFIED
Strunz, GünterUNSPECIFIED
Stötter, JohannUniversity of Innsbruck
Mardiatno, D.University of Innsbruck
Ismail, FebrinAndalas University Padang
Anwar, HerrialUNSPECIFIED
Date:July 2007
Refereed publication:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:1-10(CD-ROM)
Status:Published
Keywords:Urban remote sensing, disaster management, building stability, vulnerability
Event Title:The International Symposium on Disaster in Indonesia: Problems and Solutions
Event Location:Padang, Indoensia
Event Type:international Conference
Event Dates:26-28 July, 2007
Organizer:Organized by Disaster Study Center of Andalas University in Cooperation with Institution of Engineers, Indonesia
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 Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Environment and Security
Deposited By: Dr. Hannes Taubenböck
Deposited On:07 Apr 2008
Last Modified:27 Apr 2009 14:50

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.