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《Remote Sensing Technology and Application》 2012-01
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Automated Method based on Change Detection for Extracting Karst Rock Desertification Information Using Remote Sensing

Li Song1,An Yulun2,Hua Houqiang1,3(1.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China; 2.School of Geographical and Environmental Sciences,Guizhou Normal University, Guiyang 552100,China;3.School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics,Beijing 100083,China)  
After Yunnan,Guizhou and Guangxi provinces were designated the restricted development zone,studies on karst rocky desertification had been becoming more and more enthusiastic.Information extraction is an important content of the studies.Current methods for karst rocky desertification information extraction are based primarily on static index about Karst Rocky Desertfication phenomena,as has obvious shortcomings.Given the shortcomings of current methods and integrity of static and dynamic information of karst rocky desertification,this paper discusses automatic method of karst rocky desertification information extraction using change detection based on the mechanism of the karst rocky desertification.Thereby this paper takes the border region of Guizhou and Yunnan provinces as a study case to test the application of change detection method using two-phase TM/ETM+ images in 1992 and 2001.Differential change detection is made in geometric and radiometric corrected images in 1992 and 2001,the result of change detection is classified as unchanged region and changed region which is divided into two parts of karst rocky desertification and retrograde desertification based on mechanism of the karst rocky desertification.Recognition accuracy for the kappa coefficient reaches 0.854 in the test region.Finally,the finding shows that the method using change detection has better efficiency and accuracy in the recognition of desertification information,as has important significance to the countermeasures of karst rocky desertification.
【Fund】: 贵州科技厅项目(黔科合gy字[2008]3022);; 国家“十一五”科技支撑计划重大课题(2006BAC01A09)
【CateGory Index】: TP79;X171
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