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《Modern Economic Information》 2009-16
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基于CBERS-02B星CCD数据的植被类型分布图制图研究——以罗源湾北岸铁路支线生态环境影响评价为例

Taking Distribution of Eco-environmental impact assessment of Luoyuan Bay north shore railway extension as an example, this paper introduced the application of CBERS-02B CCD multi-spectral remote sensing image data in Eco-mapping of Environmental Impact Assessment.Through the method of combining non-surveillance classification with eyeballing resolution, this paper judges July 24. 2008’s CBERS-02B CCD multi-spectral remote sensing image data of the layout zone,and evaluates the results.This paper provided the technical guidance for the application of CBERS-02B CCD multi-spectral remote sensing image data in Eco-mapping of Environmental Impact Assessment.
【CateGory Index】: Q948
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【Citations】
Chinese Journal Full-text Database 3 Hits
1 HUANG Miao fen 1, XU man 2, LI Jian cheng 3, Ma Ji ping 4, LIU Su hong 1 (1 Research Center for Remote Sensing and GIS, School of Geography, Beijing Normal University; State key Laboratory of Remote Sensing Science; Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing, 100875, China; 2 Xijiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; 3 ShanTou Technology College, ShanTou 515041, China;4 School of Remote Sensing Information Engineering,Wuhan University,Wuhan 430079,China);Analysis of Image Characteristics of the Chinese-Brazil Earth Resources Satellite[J];Arid Land Geography;2004-04
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【Co-citations】
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1 HE Jing,CHENG Xin-wen,YAO Yuan(China University of Geosciences(Wuhan)Information and Engineering Faculty,Wuhan 430074);Image restoration with MTF of CBERS-1 No.2 satellite and the result evaluation[J];Science of Surveying and Mapping;2007-02
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4 HU Juan1,LUO Miao2,AN Yu-lun1(1.College of Geography and Environmental Science,Guizhou Normal University,Guiyang,Guizhou 550001;2.College of Mathematics and Computer Science,Guizhou Normal University,Guiyang,Guizhou 550001,China);Application Potentiality of CBERS-02B Satellite in Karst Mountainous Area[J];Guizhou Agricultural Sciences;2010-12
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