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

Building Damage Estimation by Integration of Seismic Intensity Information and Satellite L-band SAR Imagery
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DOI:
10.3390/rs2092111
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发表时间:
2010-09-01
期刊:
影响因子:
5
通讯作者:
Nojima, Nobuoto
Nojima, Nobuoto
中科院分区:
工程技术2区
文献类型:
--
作者:
Matsuoka, Masashi;Nojima, Nobuoto

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为了快速、稳定地估算全球范围内的地震破坏建筑物,利用搭载在高级陆地观测卫星(ALOS)上的相控阵L波段合成孔径雷达(PALSAR),提出了一种结合卫星合成孔径雷达(SAR)图像和日本气象厅(JMA)地震烈度的模型。为了将现有的基于C波段SAR的地震损伤估计模型扩展到L波段SAR,本文基于1995年科比地震期间日本地球资源卫星1号(JERS-1)/SAR(L-band SAR)图像及其详细的地面实况数据,重建了地震严重损伤率的似然函数。该模型集成了建筑物损坏的地震烈度和建议的似然函数的脆弱性功能,然后应用于PALSAR图像在受影响的地区在皮斯科,秘鲁2007年地震。通过将分析结果与实地调查和/或高分辨率卫星图像的解释进行比较,检查拟议的损害估计模型的准确性。
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.