Unused Land RS Classification Study of Desertification Region in Minqin County, Gansu Province
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1.
Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China
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2.
Jiangxi Institute of Soil and Water Conservation, Nanchang 330029, Jiangxi, China
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Received Date:
2012-12-21
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Abstract
Take Minqin County, a typical desertified land distribution area in China, as the research object, the decision tree model based on expert knowledge and the analysis of typical features of different spectral features was established by usin 30 m Landsat TM5 and TM7 remote sensing image as the main data source. The unused lands such as gobi, sandy land, desert, and aeolian barren land were subdivided by using this model, and the overall classification accuracy reached 87.06%. The results of the study show that the decision tree classification method is more effective, and can provide technical support for managing and reusing the land in desertification regions.
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