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汶川地震次生灾害毁坏耕地的遥感快速评估方法——以北川县唐家山地区为例
引用本文:范建容,张建强,田兵伟,严冬,陶和平.汶川地震次生灾害毁坏耕地的遥感快速评估方法——以北川县唐家山地区为例[J].遥感学报,2008,12(6).
作者姓名:范建容  张建强  田兵伟  严冬  陶和平
作者单位:1. 中国科学院,山地灾害与地表过程重点实验室,四川,成都,610041;中国科学院,成都山地灾害与环境研究所,四川,成都,610041
2. 中国科学院,成都山地灾害与环境研究所,四川,成都,610041;中国科学院,研究生院,北京,100039
3. 中国科学院,成都山地灾害与环境研究所,四川,成都,610041
基金项目:国家'科技支撑计划课题 , 中国科学院成都山地灾害与环境研究所5·12汶川地震科技救灾特别专项基金  
摘    要:以四川省北川县唐家山地区为研究区,利用2006-11-10的SPOT卫星影像数据,依据NDVI和地形信息进行耕地识别,辅以少量的人工修正,快速获取灾前耕地分布信息.应用2008-05-14的FORMOSAT-Ⅱ卫星影像数据和2008-06-04的ALOS卫星影像数据,采用人机交互解译快速获取地震诱发的崩塌滑坡、堰塞湖等次生灾害信息.灾前耕地分布信息叠加地震次生灾害数据及影像,进行变化检测,实现耕地损毁的快速评估.结果表明,研究区内崩塌滑坡、堰塞湖等次生灾害严重,崩塌滑坡533处,面积1408.20hm2,堰塞湖水面面积已达604.69 hm2.共毁坏耕地86.88 hm2,耕地毁坏率8.84%.崩塌滑坡、被毁耕地分布与断裂带分布一致,断裂破碎带内耕地毁坏率达18.74%,占研究区被毁耕地面积的74.53%.

关 键 词:汶川地震  崩塌  滑坡  遥感  堰塞湖  耕地

Investigation to the Damaged Farmland as a Result of Disasters Induced by Wenchuan Earthquake Based on Remote Sensing:a Case Study of Tangjiashan area,Beichuan County,Sichuan Province
FAN Jian-rong,ZHANG Jian-qiang,TIAN Bing-wei,YAN Dong and TAO He-ping.Investigation to the Damaged Farmland as a Result of Disasters Induced by Wenchuan Earthquake Based on Remote Sensing:a Case Study of Tangjiashan area,Beichuan County,Sichuan Province[J].Journal of Remote Sensing,2008,12(6).
Authors:FAN Jian-rong  ZHANG Jian-qiang  TIAN Bing-wei  YAN Dong and TAO He-ping
Institution:Key Laboratory of Mountain Hazards and Surface Process, Chinese Academy of Sciences, Sichuan Chengdu 610041, China; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Sichuan Chengdu 610041 China;Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Sichuan Chengdu 610041 China;Graduate School of Chinese Academy of Sciences,Beijing 100039,China;Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Sichuan Chengdu 610041 China;Graduate School of Chinese Academy of Sciences,Beijing 100039,China;Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Sichuan Chengdu 610041 China;Graduate School of Chinese Academy of Sciences,Beijing 100039,China;Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Sichuan Chengdu 610041 China
Abstract:Themain suffering area of theWenchuanEarthquake locates in themountainous area ofwestern Sichuan, an areawhich is very prone tomountain hazards such as landslides and debris flows because of themountains and deep val- leys, complex geological structure aswell aswelldeveloped fault zones there. TheWenchuanEarthquake had directly in- ducedmassive secondary disasters such as collapse and landslideswhich destructed large area of farmlands. At the same tmi e, theWenchuan Earthquake also induced more than 30 barrier lakesmaking some farmlands be inundated and de- structed. In order tomake a scientific evaluation of the disaster situation and provide scientific basis for reconstruction and rational settlementofpeople in the suffering area, it isnecessary to acquire the information of the destructed farmlands. In this paper, satellite remote sensing data aswellas appropriate information extractionmethodswere used to acquire the dis- tribution information of farmlands before theWenchuan Earthquake and information of collapse, landslides, barrier lakes afterWenchuan Earthquake based on information such as landform features inmountainous area, landuse information and mi agery characteristics of seasonal aspect. Spatial analysiswas applied to evaluate the farmland loss to provide reference for the reconstruction planning. In this paper, Tangjiashan area ofBeichuan countywas taken as a case study area for evaluating the farmland loss caused by secondarydisasters. NDVIwasderived from the SPOT mi age data ofNovember10th, 2007. Based onNDVIand landform information, the farmlandswere identified and the distribution information of farmlandswas obtained. Manual correctionswere then used to elmi inate possible errors in the previous farmland identification. TheFORMOSAT-II mi age of May 14th, 2008 and theALOS mi age of June 4th, 2008 were used to acquire the information of these secondary disasters such as collapse, landslides aswellasbarrier lakes induced by theWenchuanEarthquake based onman-computer interac-tive interpretation. Based onGIS technology, the rapid evaluation of farmland destructionwas carried outaccording to the comprehensive analyses of farmland distribution before theWenchuan Earthquake and the distribution information of these secondary disasters induced by theWenchuan Earthquake. Then the temporal and spatial characteristics of farmland loss were analyzed. The results show that the secondary disasters such as collapse, landslides aswellasbarrier lakeswere very serious in the study area. Therewere 533 sites ofcollapse and landslideswhich had a total area of1408.20 hm2, aswell as barrier lakeswith an area of604.69 hm2in the study area. The area of the farmlandsdestructed by secondary disasters were 86.88 hm2accounting for8.84% of the total farmland area. The distribution of collapse, landslides and destructed farmlandswas consistentwith the distribution of fault zone. And the destruction rate of the farmland on the fault zonewas 18.74%, accounting for74. 53% of the farmlands destructed in the study area. The secondary disaster induced by the main shock had seriously destructed the farmlandswhile the aftershocks furthered the destruction. W ith the adventof rain season, the secondary disasterwillstillbe ofgreatthreats to the farmlands so it isnecessary to strengthen the dynamicmo- nitoring of the farmland in the study area. As there is good forest coverage in this area, suitable seasonal aspectswith vegetation indexwere used to extract the distribution information of farmlandsbefore theWenchuanEarthquakewith the assistof landform information. In theFOR- MOSAT-II andALOS mi agery the distribution information ofcollapse and landslides induced by the earthquakewas quick- ly extracted by visual interpretation according to the hue, shape information in the mi agery, landform features and refer- ence to the satellite mi agery before the earthquake aswel,l then the farmland loss information was acquired using GIS. However, the rapid acquirementof the collapse and landslides information by automated classification needs further study.
Keywords:Wenchuan Earthquake  collapse  landslide  barrier lake  remote sensing  farmland
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