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:针叶林、阔叶林、针阔混交林、空地等几种类型,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83.00%,KAPPA系数为0.769。同时,对不同可燃物类型的特点进行了分析。
Using Maximum Likelihood Classification in the supervised Classification method, we divided the forest combustible type in Tahe forest bureau into coniferous forest, broad - leaved forest, coniferous and broadleaved mixed forest and open space. Meanwhile, the particle drew the forest combustible type map. With the test for the prediction, it got the result of 83.00% and the KAPPA coefficient was 0.769. At last, it made analysis to the characteristics for the different combustible type.
出处
《林业科技情报》
2014年第2期1-3,共3页
Forestry Science and Technology Information
关键词
遥感图像
可燃物类型
盘古林场
remote sensing picture
combustible type
Pangu forest farm
