| 森林资源遥感调查中植被因子的提取方法 |
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| 引用本文： | 年顺龙,杨建祥,曹顺伟.森林资源遥感调查中植被因子的提取方法[J].南京林业大学学报(自然科学版),2005,29(4):120-122. |
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| 作者姓名： | 年顺龙 杨建祥 曹顺伟 |
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| 作者单位： | 云南省林业调查规划院,云南,昆明,650051;云南省林业调查规划院,云南,昆明,650051;云南省林业调查规划院,云南,昆明,650051 |
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| 基金项目： | 云南省林业调查规划院项目 |
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| 摘 要： | 针对采用SPOT5卫星影像进行森林资源调查后,小班植被因子无法直接判读的问题,通过分析研究森林资源遥感调查和林业专业调查数据,提出了在遥感调查中各小班植被因子的自动提取方法。将此方法提取的因子与实地调查因子作对比,结果表明,幼树种类的一致率为86%,下木种类的一致率为92%,草本种类的一致率为96%。
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| 关 键 词： | 植被因子 遥感 提取 |
| 文章编号： | 1000-2006(2005)04-0120-03 |
| 修稿时间： | 2004年11月25 |
Research on the Extracting Vegetation Factors from Remote Sensing Image for Forest Resources Inventory |
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| NIAN Shun-long,YANG Jian-xiang,CAO Shun-wei.Research on the Extracting Vegetation Factors from Remote Sensing Image for Forest Resources Inventory[J].Journal of Nanjing Forestry University(Natural Sciences ),2005,29(4):120-122. |
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| Authors: | NIAN Shun-long YANG Jian-xiang CAO Shun-wei |
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| Abstract: | The paper discussed the methodology of automatically extracting vegetation factors by studying the correlation between conventional forest resources inventory method and new method invented by remote sensing since it can not be acquired via visual interpretation directory, after the forest resources inventory by SPOT5 satellite image. The verification results of the forest factors depicted by the new method and site inventory are, 86% correct for young forest, 92% correct for shrub and 96% for grass. The new methodology improved the efficiency of forest inventory. It has profound mean in promotion of forest inventory to understand the forest resources. |
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| Keywords: | Vegetation factors Remote sensing Extraction |
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