| 基于遥感技术的森林可燃物类型划分 |
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| 引用本文： | 郭鸿郡,俞童,马超,张薛昊,闫长路.基于遥感技术的森林可燃物类型划分[J].林业科技情报,2014(2):1-3. |
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| 作者姓名： | 郭鸿郡 俞童 马超 张薛昊 闫长路 |
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| 作者单位： | 东北林业大学 |
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| 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。
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| 关 键 词： | 遥感图像 可燃物类型 盘古林场 |
The Division For The Forest Combustible Type Based On The Remote Sensing Technology |
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| Guo Hongjun,Yu Tong,Ma Chao,Zhang Xuehao,Yan Changlu.The Division For The Forest Combustible Type Based On The Remote Sensing Technology[J].Forestry Science and Technology Information,2014(2):1-3. |
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| Authors: | Guo Hongjun Yu Tong Ma Chao Zhang Xuehao Yan Changlu |
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| Institution: | (Northeast Forestry University) |
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| Abstract: | 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. |
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| Keywords: | remote sensing picture combustible type Pangu forest farm |
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