A Study On Classification Model Of Vegetation In Southern Area Of Alatao Mountain

The accurate extraction of forest vegetation information is one of the most important problem in vegetation resource investigation and management,especially for mountain areas.Information extraction of vegetation in mountain areas become more difficult because of the location and topography.Therefore,searehing for a effetive methodes of information extraction is a urgent problem.In this paper,the site was located in southern area of Alatao mountain. DEM and texture were imported into the decision tree.By using C4.5 agorithm method to build the rules of classification,following aspects were concluded.Firstly,DEM and texture are very important features in classifying in mountain areas.The seconde conclusion is that the decision tree based on C4.5 agorithm can improve the accuracy of classifying vegetation in mountain areas.This paper also showes that the methodes of classifying in mountain areas can be widely used in others in Xinjiang.