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《Scientia Geographica Sinica》 2012-03
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Auto-classification of Landform in Karst Region Based on ASTER GDEM

MA Shi-bin1,AN Yu-lun2(1.Department of Biology and Geography,Liupanshui Normal University,Liupanshui,Guizhou 553004,China;2.School of Geography and Environment,Guizhou Normal University,Guiyang,Guizhou 550001,China)  
Geomorphology is one of the most important parts which constitute the elements of physical geography.Based on the GDEM of 1∶100000 ASTER,the optimum analysis window was verified and topographic factors were extracted in the unit of drainage area.With GIS spatial analysis and unsupervised classification,the general geomorphologic types in Karst Region were auto-classified.The study results indicate:(1) DEM at the scale of 1∶100000 can fill the requirements to express the configuration of earth surface on meso-scale.(2) It confirms the basic regulation to select the analysis window and extract topographic factors taking the drainage area as a unit.Topographic factors extracted can reflect the actual configuration of earth surface more impersonally.(3) Multi-spectral image is combined with topographic factors.With the method of ISODATA unsupervised classification,it can implement the quantification of the general geomorphologic types and automatic classification effectively on meso-scale.The precision of the data extracted can meet the demands of computer automatic classification.These experimental results improve the application of ISODATA unsupervised classification in the automatic classification of geomorphology.
【Fund】: 贵州省科技攻关项目[黔科合GY字(2008)3022];; 国家重点基础研究发展973计划项目(2006CB403200);; 贵州省教育厅自然科学项目(黔教科2010098)资助
【CateGory Index】: P931
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