| 基于RS、GIS的林分龄组分析 |
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| 引用本文： | 铁玲,杨燕琼,勾啸,赵石杰.基于RS、GIS的林分龄组分析[J].广东林业科技,2005,21(2):26-29. |
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| 作者姓名： | 铁玲 杨燕琼 勾啸 赵石杰 |
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| 作者单位： | 华南农业大学林学院,广州,510642 |
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| 基金项目： | 广东省林业厅基金资助项目(4400-F02005) |
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| 摘 要： | 根据1998年11月接收的白云区SPOT卫星多光谱数据，利用图像处理软件ERDAS对遥感图像进行处理，在地类与林分已分类的基础上，以镇为单位研究白云区林分龄组的分布情况及分类方法。分析结果表明，主成分分析法是适用于白云区林分龄组划分的图像处理方法；最大似然法最适合于龄组划分。精度检验表明，基于主成分法的龄组划分总体精度为93．41％。
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| 关 键 词： | RS GIS 林分龄组 主成分分析法 图像处理 最大似然法 遥感技术 地理信息系统 |
Study on Stand Age Class Based on RS & GIS |
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| TIE Ling,Yang Yanqiong,Gou Xiao,Zhao Shijie.Study on Stand Age Class Based on RS & GIS[J].Forestry Science and Technology of Guangdong Province,2005,21(2):26-29. |
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| Authors: | TIE Ling Yang Yanqiong Gou Xiao Zhao Shijie |
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| Abstract: | Based on the land types and stand were classified, using the image processing software ERDAS to process SPOT multiband data of Baiyun district in Nov. 1998, the stand age class of every town in Baiyun district in Guangzhou is studied. The result shows that the principal component analysis is well suitable for processing the image of the Baiyun district. The maximum likelihood method is the best method to classify the age class of Baiyun district. The acauracy examination shows that the overall accuracy for forest age class classifying based on RS and GIS is 93.41%. |
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| Keywords: | RS GIS age class |
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