首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于遥感的塔河林业局森林可燃物类型划分
引用本文:胡海清,张喆,吴学伟.基于遥感的塔河林业局森林可燃物类型划分[J].东北林业大学学报,2007,35(7):20-21,26.
作者姓名:胡海清  张喆  吴学伟
作者单位:东北林业大学,哈尔滨,150040
基金项目:国家自然科学基金项目(30471404),黑龙江省重点基金项目(ZJD04-0102)
摘    要:应用监督分类法中的最大似然法(Maximum Likelihood Classification)以及遥感图像对塔河林业局森林可燃物类型划分的结果为:天然落叶松林、人工落叶松林、樟子松林、针阔混交林、阔叶林、难利用地等几种类型,并绘制了可燃物类型分布图,经分类精度检验,总体分类精度为72.90%。同时,对不同可燃物类型的特点进行了分析。

关 键 词:遥感图像  可燃物类型  塔河林业局
修稿时间:2007-03-08

Type Classification of Forest Fuel in Tahe Forestry Bureau Based on Remote Sensing
Hu Haiqing,Zhang Zhe,Wu Xuewei.Type Classification of Forest Fuel in Tahe Forestry Bureau Based on Remote Sensing[J].Journal of Northeast Forestry University,2007,35(7):20-21,26.
Authors:Hu Haiqing  Zhang Zhe  Wu Xuewei
Institution:Forestry College of Northeast Forestry University, Harbin 150040, P. R. China
Abstract: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.
Keywords:Remote sensing images  Fuel types  Tahe Forestry Bureau
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号