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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
引用本文:陈世荣,马海建,范一大,徐丰,连健.基于高分辨率遥感影像的汶川地震道路损毁评估[J].遥感学报,2008,12(6).
作者姓名:陈世荣  马海建  范一大  徐丰  连健
作者单位:1. 民政部,国家减灾中心,中国空间技术减灾应用研究中心,北京,100053
2. 北京大学,遥感与地理系统研究所,北京,100871
3. 首都师范大学,资源环境与旅游学院,北京,100048
基金项目:国家科技部国家高技术研究发展计划(863计划) , 科技部支撑计划  
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.

关 键 词:汶川地震  灾害遥感  高分辨率遥感影像  道路损毁评估

Road Damage Assessment from High Resolution Satellite Remote Sensing Imagery in Wenchuan Earthquake
CHEN Shi-rong,MA Hai-jian,FAN Yi-d,XU Feng and LIAN Jian.Road Damage Assessment from High Resolution Satellite Remote Sensing Imagery in Wenchuan Earthquake[J].Journal of Remote Sensing,2008,12(6).
Authors:CHEN Shi-rong  MA Hai-jian  FAN Yi-d  XU Feng and LIAN Jian
Institution:National Disaster Reduction Center of China, Ministry of Civil Affairs, Beijing 100053, China;College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;National Disaster Reduction Center of China, Ministry of Civil Affairs, Beijing 100053, China;National Disaster Reduction Center of China, Ministry of Civil Affairs, Beijing 100053, China;College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
Abstract:The strongWenchuan Earthquake causes serious damage to the road infrastructure, which has bad influence on the disaster-reliefwork after the earthquake. Therefore, it is very mi portant to evaluate the damage loss of the road in the disaster area quickly and accurately, especially in the emergency tmi e ofdisasters. This paper introduces amethod to evaluate the damage of roads from satellite remote sensing mi ageswith high spatial resolution inWenchuan earthquake of8.0magnitudes. The study uses twenty nine high resolution satellite remote sensing mi ages after the earthquake, includingEROS-B, QuickBird, SPOT-5, ALOS data etc. These mi ages are allpanchromatic data. The spatial resolution is at least3 meters. The study area includes 20 counties in the damaged area ofWenchuan Earthquake. The terrain conditions are com- plex for all counties except several of the Chendu city. The studymethod includes three steps. First, remote sensing mi agery is geometrically corrected. Meanwhile, clouds are elmi inated by the threshold of high gray values. Second, road regions in high resolution remote sensing mi agery are segmented bygeographic information ofroad. Third, damaged roads are detection by the following steps. Each road is seg- mented by a fixed length interval into several segments. Then foreach segment, grey and texture feature in a neighborhood window are calculated. According to themodel of damaged road, grey and texture feature are used to identify damaged roads. At last, the resultofdamaged 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 ofnational 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 severelydamaged, includingWenchuan county andBeichuan county; three counties aremoderatelydamaged; and eleven counties are lightly damaged. It is proved that, comparing the results of this study and the ground investigation data, the assessmentmethod of this paper could get a quick and relatively accurate evaluated resultof the damage loss of the roads in the disaster areas using the high resolution satellite remote sensing mi ages. The damaged road assessmentmethod isveryusefuland feasible in the serious situation, especiallywhenwe cannotget the ground investigation information.
Keywords:Wenchuan earthquake  disaster remote sensing  high resolution remote sensing mi agery  damaged road as- sessment
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