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A Method for Detecting Buildings Destroyed by the 2011 Tohoku Earthquake and Tsunami Using Multitemporal TerraSAR-X Data

Gokon, Hideomi and Post, Joachim and Stein, Enrico and Martinis, Sandro and Twele, André and Mück, Matthias and Geiß, Christian and Koshimura, Sunichi and Matsuoka, Masashi (2015) A Method for Detecting Buildings Destroyed by the 2011 Tohoku Earthquake and Tsunami Using Multitemporal TerraSAR-X Data. IEEE Geoscience and Remote Sensing Letters, 12 (6), pp. 1277-1281. IEEE - Institute of Electrical and Electronics Engineers. ISSN 1545-598X

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Abstract

In this letter, a new approach is proposed to classify tsunami-induced building damage into multiple classes using preand post-event high-resolution radar (TerraSAR-X) data. Buildings affected by the 2011 Tohoku earthquake and tsunami were the focus in developing thismethod. In synthetic aperture radar (SAR) data, buildings exhibit high backscattering caused by doublebounce reflection and layover. However, if the buildings are completely washed away or structurally destroyed by the tsunami, then this high backscattering might be reduced, and the post-event SAR data will show a lower sigma nought value than the pre-event SAR data. To exploit these relationships, a rapid method for classifying tsunami-induced building damage into multiple classes was developed by analyzing the statistical relationship between the change ratios in areas with high backscattering and in areas with building damage. The method was developed for the affected city of Sendai, Japan, based on the decision tree application of a machine learning algorithm. The results provided an overall accuracy of 67.4% and a kappa statistic of 0.47. To validate its transferability, the method was applied to the town of Watari, and an overall accuracy of 58.7% and a kappa statistic of 0.38 were obtained.

Item URL in elib:https://elib.dlr.de/96035/
Document Type:Article
Title:A Method for Detecting Buildings Destroyed by the 2011 Tohoku Earthquake and Tsunami Using Multitemporal TerraSAR-X Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Gokon, HideomiUNSPECIFIEDUNSPECIFIED
Post, JoachimJoachim.Post (at) dlr.deUNSPECIFIED
Stein, Enricoenrico.stein (at) dlr.deUNSPECIFIED
Martinis, Sandrosandro.martinis (at) dlr.deUNSPECIFIED
Twele, Andréandre.twele (at) dlr.deUNSPECIFIED
Mück, Matthiasmatthias.mueck (at) dlr.deUNSPECIFIED
Geiß, Christianchristian.geiss (at) dlr.deUNSPECIFIED
Koshimura, SunichiUNSPECIFIEDUNSPECIFIED
Matsuoka, MasashiUNSPECIFIEDUNSPECIFIED
Date:June 2015
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:12
Page Range:pp. 1277-1281
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1545-598X
Status:Published
Keywords:Building damage, change detection, TerraSAR-X, tsunami
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Geiß, Christian
Deposited On:03 Jun 2015 08:59
Last Modified:08 Mar 2018 18:31

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