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Assessment of damage to buildings and farms during the 2011 M 9.0 earthquake and tsunami in Japan from remote sensing data

Assessment of damage to buildings and farms during the 2011 M 9.0 earthquake and tsunami in Japan from remote sensing data

作     者:GUO HuaDong CHEN Yu FENG Qiang LIN QiZhong WANG Fei 

作者机构:Center for Earth Observation and Digital EarthChinese Academy of SciencesBeijing 100094China 

出 版 物:《Chinese Science Bulletin》 (Chinese Science Bulletin)

年 卷 期:2011年第56卷第20期

页      面:2138-2144页

核心收录:

学科分类:083002[工学-环境工程] 0830[工学-环境科学与工程(可授工学、理学、农学学位)] 081802[工学-地球探测与信息技术] 070801[理学-固体地球物理学] 07[理学] 08[工学] 0818[工学-地质资源与地质工程] 0708[理学-地球物理学] 081602[工学-摄影测量与遥感] 0816[工学-测绘科学与技术] 

基  金:supported by the National Basic Research Program of China(2009CB723906) the National Basic Research Development Program of China(2009AA12Z102 and 2009AA12Z147) 

主  题:影响评估模型 遥感数据 建筑物 大地震 海啸 农场 数据损坏 日本 

摘      要:At 13:46 on March 11,2011(Beijing time),a great earthquake of magnitude of 9.0 occurred off the Pacific coast of northeastern Japan(Tohoku Region).After the earthquake,the Center for Earth Observation and Digital Earth(CEODE),Chinese Academy of Sciences,quickly launched a major disaster emergency response to assess the *** this paper,we have extracted buildings and farms in the heavily devastated area that includes Iwate,Miyagi,and Fukushima Prefectures,based on multi-spectral remote sensing *** have assessed building damage by overlaying seismic intensity and building *** addition,we have assessed the extent of building and farm damage caused by the tsunami through the establishment of a tsunami impact assessment model that is based on terrain and distance from the *** results were partially verified by high-resolution images obtained after the *** results show that about 76% of buildings in Miyagi Prefecture were affected by seismic intensity 6 and above,with 24% of the buildings and 12% of the farms destroyed by the *** huge losses were echoes at lesser amounts in Fukushima and *** results provide the support of basic data,which can be further developed by economic and social aspects of the disaster assessment.

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