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| 基于植被指数的马尾松叶绿素含量估算模型 | |
| 引用本文： | 刘秀英,熊建利,臧卓,林辉.基于植被指数的马尾松叶绿素含量估算模型[J].西北林学院学报,2012,27(3):44-47,61. |
| 作者姓名： | 刘秀英 熊建利 臧卓 林辉 |
| 作者单位： | 1. 河南科技大学农学院,河南洛阳471003;中南林业科技大学林业遥感信息工程研究中心,湖南长沙410004 2. 河南科技大学动物科技学院,河南洛阳 3. 中南林业科技大学林业遥感信息工程研究中心,湖南长沙,410004 |
| 基金项目： | 国家自然科学基金(30871962,30900138);中南林业科技大学林业遥感信息工程研究中心开放性研究基金(RS2008k01) |
| 摘 要： | 利用高光谱技术,探索马尾松反射光谱组成的植被指数与其叶绿素含量之间的关系。采用美国ASD公司生产的手持式野外光谱辐射仪测量马尾松冠层光谱,对观测叶片进行同步叶绿素含量测定,并利用统计学分析方法,分析马尾松冠层光谱组成的植被指数与叶绿素含量之间的相关关系,并建立相应的估算模型。结果表明:叶绿素含量与植被指数进行相关性分析,相关性最好的为TCARI;通过建立TCARI与叶绿素含量之间的估算模型并检验其精度,得出了叶绿素含量估算的高光谱模型:y=exp(0.686+(-2.765)×x)。说明利用高光谱数据可以估测马尾松的叶绿素含量。 |
| 关 键 词： | 植被指数 相关分析 高光谱 马尾松 |
Estimation Modles for Chlorophyll Content of Pinus massoniana Based on Vegetable Indices |
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| LIU Xiu-ying , XIONG Jian-li , ZANG Zhuo , LIN Hui.Estimation Modles for Chlorophyll Content of Pinus massoniana Based on Vegetable Indices[J].Journal of Northwest Forestry University,2012,27(3):44-47,61. | |
| Authors: | LIU Xiu-ying XIONG Jian-li ZANG Zhuo LIN Hui |
| Institution: | 1.Agronomy College,Henan University of Science and Technology,Luoyang,Henan 471003,China 2.Animal Science and Technology College,Luoyang,Henan 471003,China;3.Research Center of Forestry Remote Sensing and Information Engineering,Central South University of Forestry and Technology,Changsha,Hunan 410004,China) |
| Abstract: | Relationship between vegetation indices of Pinus massoniana derived from the reflection spectrum of canopy and chlorophyll content.The spectral reflectance of canopy was measured by ASD Handheld Spectrometer in field and chlorophyll content was measured in the lab at the same time.The relationships between vegetation indices and chlorophyll content were analyzed with statistical method,and the corresponding estimation models were established.The results showed that when the correlation analysis between chlorophyll content and vegetation indices was adopted,the maximum correlated coefficient appeared between chlorophyll content and TCARI.Some estimation models were built based on the results of correlation analysis.The predictive precisions were checked for those models in order to determine the best estimation models for chlorophyll content.The fittest model was y=exp(0.686+(-2.765)×x).These results suggested that the hyperspectral estimation models can be used to estimate chlorophyll content of P.massoniana. |
| Keywords: | vegetable index correlation analysis hyperspectrum Pinus massoniana |
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