Methods of Land-cover Dynamic Monitoring Base on CBERS Data
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The Research Center of Forestry Remote Sensing and Information Engineering, Central SouthUniversity of Forestry & Technology, Changsha 410004, Hupnan, China
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Received Date:
2007-10-28
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Abstract
Obtaining land-cover information by classification method from remote sensing images was a basic andimportant project. The CBERS images of Zhuzhou City in 1999, 2003 and 2007 were classified with supervisedclassification methods based on the establishment of land-cover classification system, the land-cover information wasextracted and its dynamic changes were analyzed. The results indicated that: it was effective to use CCD data ofCBERS to monitor land-cover dynamic information by remote sensing in hilly areas in the middle of China. From1999 to 2007, the p roportion of forest land and water body and construction land were gradually increased inZhuzhou City, resulting in the decrease of farm land and other land. The increases of forest land and constructionland was sharp but the increasing rate became slightly. In conclusion, the results could p rovide some scientificevidence for the government of Zhuzhou City to make decision in land resources use and thesustainable development.
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Proportional views
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