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《Journal of Northeast Forestry University》 2007-07
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Type Classification of Forest Fuel in Tahe Forestry Bureau Based on Remote Sensing

Hu Haiqing,Zhang Zhe,Wu Xuewei(Forestry College of Northeast Forestry University,Harbin 150040,P.R.China)  
Forest fuel types are classified by the method of maximum likelihood(MLC)based on remote-sensing images of Tahe Forestry Bureau.Result shows that the fuel types can be classified into eight categories,such as natural Larix gmelinii forest,Larix gmelinii artificial forest,Pinus sylvestris var.mongolica forest,needle and broad-leaved mixed forest,deciduous forest,and hard-used land.The distribution map of fuel types is obtained.The classification accuracy reaches 72.90 percent in terms of accuracy assessment.The characteristics of different fuel types are also analysed.
【Fund】: 国家自然科学基金项目(30471404);; 黑龙江省重点基金项目(ZJD04-0102)
【CateGory Index】: S762
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