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《Remote Sensing for Land & Resources》 2010-01
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The Information Extraction Method for Land Use and Cover Change (LUCC) after the Earthquake in Dujiang Dam

NI Zhong-yun1,2,HE Zheng-wei1,2,3,ZHAO Yin-bing1,2,WANG Le1,2,GAO Hui1,2,CAI Ke-ke1,2(1.State Key Laboratory of Geohazard Prevention & Geoenvironment Protection,Chengdu 610059,China;2.Geosciences College,Chengdu University of Technology,Chengdu 610059,China;3.Key Laboratory of Resource Environment and GIS in Beijing,Capital Normal University,Beijing 100037,China)  
It is very important to immediately and accurately acquire LUCC information after "5·12" Earthquake for disaster mitigation,post-disaster reconstruction and restoration of the ecological environment.Remote Sensing images are characterized by a wide range of information,timeliness and rapidness in LUCC information extraction.Traditional methods in LUCC information extraction from remote sensing images often take the overall area as a study target,classify the images and acquire the information directly.Nevertheless,these methods are liable to ignore the influence of topography,geological structure and other background factors on the classification results.The solution lies in dividing the image into sub-blocks,sub-block classification and comprehensive analysis based on geographic and geological environment.In this paper,Dujiang Dam as the study area was divided into four blocks: plain district(Ⅰ),middle-mountain district(Ⅱ),middle and high mountain district(Ⅲ) and high mountain district(Ⅳ) based on the distribution characteristics of geological structures and landform development patterns.ISODATA method was used for non-supervised classification in District I,maximum likelihood(ML) classification method for supervised classification was used in DistrictⅡ and Ⅲ,and man-machine interactive interpretation method for classification was used in District Ⅳ.The results show that the classification method based on the division of geographic and geological environment is efficient and precise.
【Fund】: 国家科技支撑“十一五”计划项目(编号:2008BAK49B02);; 国家863重点项目(编号:2007AA120306);; 四川省杰出青年学科带头人培养计划项目(编号:06ZQ026-014);; 四川省教育厅自然科学重点项目(编号:2006A116)共同资助
【CateGory Index】: F301;F224
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