| 基于TM数据的森林植物碳储量估测方法研究 |
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| 引用本文： | 魏安世,林寿明,李志洪.基于TM数据的森林植物碳储量估测方法研究[J].中南林业调查规划,2006,25(4):44-47. |
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| 作者姓名： | 魏安世 林寿明 李志洪 |
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| 作者单位： | 广东省林业调查规划院,广州,510500 |
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| 摘 要： | 以广东省第六次森林资源连续清查样地数据为基础，根据TM数据及其非线性组合的光谱信息，结合地学信息及林分信息，建立了森林植物碳储量估测的多元线性回归方程及神经网络模型。分析结果表明，神经网络模型的估测精度高于回归模型估测精度，但用它们估测落实到样地的森林植物碳储量误差仍然较大，还不能满足样地调查精度的要求。
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| 关 键 词： | TM数据 森林 碳储量 遥感 回归模型 神经网络 |
| 文章编号： | 1003-6075（2006）04-0044-04 |
| 收稿时间： | 2006-07-18 |
| 修稿时间： | 2006-09-12 |
Estimation of Forest Botanic Carbon Storage Based on TM Data |
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| WEI An-shi,LIN Shou-ming,LI Zhi-hong.Estimation of Forest Botanic Carbon Storage Based on TM Data[J].Central South Forest Inventory and Planning,2006,25(4):44-47. |
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| Authors: | WEI An-shi LIN Shou-ming LI Zhi-hong |
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| Institution: | Forestry Surveying and Designing Institute of Guangdong Provinee,Guangzhou 510500.China |
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| Abstract: | Based on plots of the 6^th Continuous Forest Inventory of Guangdong Province, the multi- regression equation and neural network model were established based on TM Data and its non-linear spectrum combination, topographical data and stand information. The result showed that we should take full advantage of topographical data and stand information to estimate forest botanic carbon, but not just based on RS information. Neural network model have more higher accuracy than multi-regression equation. However, the error of prediction on sample plots is still high. |
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| Keywords: | TM data forest carbon storage remote sensing multi-regression model neural network |
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