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基于高分辨率遥感影像的汶川地震道路损毁评估

Road Damage Assessment from High Resolution Satellite Remote Sensing Imagery in Wenchuan Earthquake

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【作者】 陈世荣马海建范一大徐丰连健

【Author】 CHEN Shi-rong1,MA Hai-jian2,FAN Yi-da1,XU Feng1,LIAN Jian3(1.National Disaster Reduction Center of China,Ministry of Civil Affairs,Beijing 100053,China;China Space Application Centre for Disaster Reduction,Beijing 100053,China;2.Institute of Remote Sensing and GIS,Peking University,Beijing 100871,China;3.College of Resources Environment and Tourism,Capital Normal University,Beijing 100048,China)

【机构】 民政部国家减灾中心中国空间技术减灾应用研究中心北京大学遥感与地理系统研究所首都师范大学资源环境与旅游学院

【摘要】 强烈地震造成道路基础设施的损毁,严重影响应急救灾工作。因此,及时准确地对灾区道路损毁情况进行评估,具有十分重要的现实意义。以汶川特大地震道路损毁评估工作为例,介绍了利用高分辨率卫星遥感影像进行地震灾害道路损毁评估的技术方法。通过对灾区20个县(市、区)国/省道基础设施损毁情况评估,结果表明,汶川、北川等6个县道路重度损毁,3个县(市)中度损毁,11个县(区)轻度损毁。表明该方法能够在应急期间缺乏地面调查的情况下,充分利用高分辨率遥感图像,对道路震害损毁进行快速及较为准确的评估。

【Abstract】 The strong Wenchuan Earthquake causes serious damage to the road infrastructure,which has bad influence on the disaster-relief work after the earthquake.Therefore,it is very important to evaluate the damage loss of the road in the disaster area quickly and accurately,especially in the emergency time of disasters.This paper introduces a method to evaluate the damage of roads from satellite remote sensing images with high spatial resolution in Wenchuan earthquake of 8.0 magnitudes.The study uses twenty nine high resolution satellite remote sensing images after the earthquake,including EROS-B,QuickBird,SPOT-5,ALOS data etc.These images are all panchromatic data.The spatial resolution is at least 3 meters.The study area includes 20 counties in the damaged area of Wenchuan Earthquake.The terrain conditions are complex for all counties except several of the Chendu city.The study method includes three steps.First,remote sensing imagery is geometrically corrected.Meanwhile,clouds are eliminated by the threshold of high gray values.Second,road regions in high resolution remote sensing imagery are segmented by geographic information of road.Third,damaged roads are detection by the following steps.Each road is segmented by a fixed length interval into several segments.Then for each segment,grey and texture feature in a neighborhood window are calculated.According to the model of damaged road,grey and texture feature are used to identify damaged roads.At last,the result of damaged road detection is used to calculate assessment indexes including damage distribution and damage grade of each county.The grading standard is setted in three levels,which are severely damaged,moderately damaged and lightly damaged,according to the damage rate of national roads and provincial roads.The result shows that the earthquake affected road infrastructure in all the twenty counties of the study area.Six counties are severely damaged,including Wenchuan county and Beichuan county;three counties are moderately damaged;and eleven counties are lightly damaged.It is proved that,comparing the results of this study and the ground investigation data,the assessment method of this paper could get a quick and relatively accurate evaluated result of the damage loss of the roads in the disaster areas using the high resolution satellite remote sensing images.The damaged road assessment method is very useful and feasible in the serious situation,especially when we cannot get the ground investigation information.

【基金】 国家科技部863重点项目(编号:2007AA1202052007AA120306);科技部支撑计划(编号:2008BAK52B02)
  • 【文献出处】 遥感学报 ,Journal of Remote Sensing , 编辑部邮箱 ,2008年06期
  • 【分类号】TP753
  • 【被引频次】65
  • 【下载频次】1123
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