| 基于无人机影像的九寨沟地震建筑物震害定量评估 |
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| 引用本文： | 袁小祥,王晓青,丁香,窦爱霞,王书民,丁玲.基于无人机影像的九寨沟地震建筑物震害定量评估[J].中国地震,2017,33(4):582-589. |
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| 作者姓名： | 袁小祥 王晓青 丁香 窦爱霞 王书民 丁玲 |
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| 作者单位： | 中国地震局地震预测研究所, 北京市复兴路63号 100036,中国地震局地震预测研究所, 北京市复兴路63号 100036,中国地震局地震预测研究所, 北京市复兴路63号 100036,中国地震局地震预测研究所, 北京市复兴路63号 100036,中国地震局地震预测研究所, 北京市复兴路63号 100036,中国地震局地震预测研究所, 北京市复兴路63号 100036 |
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| 基金项目： | 科技部重点研发课题（2017YFB0504104）、中国地震预测研究所基本科研业务专项（2013 IES0204）联合资助 |
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| 摘 要： | 利用2017年8月8日九寨沟7.0级地震震后获取的无人机影像,结合地面震害调查资料,分析各类建筑物震害特征,建立建筑物震害无人机遥感解译标志;选取地震灾区漳扎镇(部分区域)和荷叶寨2个区域作为研究区,进行了无人机遥感建筑物震害提取,基于遥感震害指数进行了震害定量评估,并与现场建筑物震害调查统计结果进行了比较验证。结果显示,遥感解译建筑物震害与实际震害程度相吻合,表明利用震后快速获取的高分辨率无人机影像,可以较为准确地识别建筑物震害,进而为地震灾害定量评估和应急救援辅助决策提供重要参考。
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| 关 键 词： | 无人机 震害评估 定量评估 九寨沟7.0级地震 |
| 收稿时间： | 2017/10/15 0:00:00 |
| 修稿时间： | 2017/10/26 0:00:00 |
Quantitative assessment of building damage in disaster area of the Jiuzhaigou earthquake based on UAV images |
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| Yuan Xiaoxiang,Wang Xiaoqing,Ding Xiang,Dou Aixia.Quantitative assessment of building damage in disaster area of the Jiuzhaigou earthquake based on UAV images[J].Earthquake Research in China,2017,33(4):582-589. |
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| Authors: | Yuan Xiaoxiang Wang Xiaoqing Ding Xiang Dou Aixia |
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| Institution: | Institute of earthquake forecasting, China Earthquake Administration, Beijing 100036, China,Institute of earthquake forecasting, China Earthquake Administration, Beijing 100036, China,Institute of earthquake forecasting, China Earthquake Administration, Beijing 100036, China,Institute of earthquake forecasting, China Earthquake Administration, Beijing 100036, China,Institute of earthquake forecasting, China Earthquake Administration, Beijing 100036, China and Institute of earthquake forecasting, China Earthquake Administration, Beijing 100036, China |
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| Abstract: | Using unmanned aerial vehicle(UAV)images acquired after the Jiuzhaigou MS7.0 earthquake on August 8, 2017, and the field damage survey data, characteristics of buildings with different seismic damage levels were analyzed and remote sensing interpretation features of buildings in different damage levels based on UAV images were built. Zhangzha and Heye villages were selected as study area, and the seismic damage levels of buildings were extracted by visual interpretation through UAV images. Then, the remote sensing seismic damage index was quantitatively assessed and compared with ground truth by field survey. The result shows that the remote sensing interpretation of building damage and actual damage degree is consistent. It also shows that the very high spatial resolution UAV images in the disaster area acquired immediately after an earthquake can accurately identify the damage of buildings and provide an important reference for earthquake disaster assessment and emergency rescue decision. |
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| Keywords: | UAV Earthquake disaster assessment Quantitative assessment Jiuzhaigou MS7 0 earthquake |
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