Building Damage Estimation by Integration of Seismic Intensity Information and Satellite L-band SAR Imagery

For a quick and stable estimation of earthquake damaged buildings worldwide, using Phased Array type L-band Synthetic Aperture Radar (PALSAR) loaded on the Advanced Land Observing Satellite (ALOS) satellite, a model combining the usage of satellite synthetic aperture radar (SAR) imagery and Japan Me...

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Main Authors: Nobuoto Nojima, Masashi Matsuoka
Format: Article
Language:English
Published: MDPI AG 2010-09-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/2/9/2111/
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spelling doaj-4b274bb08dec4ae28ce8624f9a9beec22020-11-24T22:34:37ZengMDPI AGRemote Sensing2072-42922010-09-01292111212610.3390/rs2092111Building Damage Estimation by Integration of Seismic Intensity Information and Satellite L-band SAR ImageryNobuoto NojimaMasashi MatsuokaFor a quick and stable estimation of earthquake damaged buildings worldwide, using Phased Array type L-band Synthetic Aperture Radar (PALSAR) loaded on the Advanced Land Observing Satellite (ALOS) satellite, a model combining the usage of satellite synthetic aperture radar (SAR) imagery and Japan Meteorological Agency (JMA)-scale seismic intensity is proposed. In order to expand the existing C-band SAR based damage estimation model into L-band SAR, this paper rebuilds a likelihood function for severe damage ratio, on the basis of dataset from Japanese Earth Resource Satellite-1 (JERS-1)/SAR (L-band SAR) images observed during the 1995 Kobe earthquake and its detailed ground truth data. The model which integrates the fragility functions of building damage in terms of seismic intensity and the proposed likelihood function is then applied to PALSAR images taken over the areas affected by the 2007 earthquake in Pisco, Peru. The accuracy of the proposed damage estimation model is examined by comparing the results of the analyses with field investigations and/or interpretation of high-resolution satellite images. http://www.mdpi.com/2072-4292/2/9/2111/synthetic aperture radarearthquakebuilding damageseismic intensityintegration
collection DOAJ
language English
format Article
sources DOAJ
author Nobuoto Nojima
Masashi Matsuoka
spellingShingle Nobuoto Nojima
Masashi Matsuoka
Building Damage Estimation by Integration of Seismic Intensity Information and Satellite L-band SAR Imagery
Remote Sensing
synthetic aperture radar
earthquake
building damage
seismic intensity
integration
author_facet Nobuoto Nojima
Masashi Matsuoka
author_sort Nobuoto Nojima
title Building Damage Estimation by Integration of Seismic Intensity Information and Satellite L-band SAR Imagery
title_short Building Damage Estimation by Integration of Seismic Intensity Information and Satellite L-band SAR Imagery
title_full Building Damage Estimation by Integration of Seismic Intensity Information and Satellite L-band SAR Imagery
title_fullStr Building Damage Estimation by Integration of Seismic Intensity Information and Satellite L-band SAR Imagery
title_full_unstemmed Building Damage Estimation by Integration of Seismic Intensity Information and Satellite L-band SAR Imagery
title_sort building damage estimation by integration of seismic intensity information and satellite l-band sar imagery
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2010-09-01
description For a quick and stable estimation of earthquake damaged buildings worldwide, using Phased Array type L-band Synthetic Aperture Radar (PALSAR) loaded on the Advanced Land Observing Satellite (ALOS) satellite, a model combining the usage of satellite synthetic aperture radar (SAR) imagery and Japan Meteorological Agency (JMA)-scale seismic intensity is proposed. In order to expand the existing C-band SAR based damage estimation model into L-band SAR, this paper rebuilds a likelihood function for severe damage ratio, on the basis of dataset from Japanese Earth Resource Satellite-1 (JERS-1)/SAR (L-band SAR) images observed during the 1995 Kobe earthquake and its detailed ground truth data. The model which integrates the fragility functions of building damage in terms of seismic intensity and the proposed likelihood function is then applied to PALSAR images taken over the areas affected by the 2007 earthquake in Pisco, Peru. The accuracy of the proposed damage estimation model is examined by comparing the results of the analyses with field investigations and/or interpretation of high-resolution satellite images.
topic synthetic aperture radar
earthquake
building damage
seismic intensity
integration
url http://www.mdpi.com/2072-4292/2/9/2111/
work_keys_str_mv AT nobuotonojima buildingdamageestimationbyintegrationofseismicintensityinformationandsatellitelbandsarimagery
AT masashimatsuoka buildingdamageestimationbyintegrationofseismicintensityinformationandsatellitelbandsarimagery
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