基于高光谱信息的107杨叶片等效水厚度估算模型的研究

程志庆; 张劲松; 孟平; 李岩泉; 郑宁

基于高光谱信息的107杨叶片等效水厚度估算模型的研究

1.
中国林业科学研究院林业研究所
2.
国家林业局林木培育重点实验室, 北京 100091
3.
南京林业大学南方现代林业协同创新中心, 江苏南京 210037
基金项目:
林业公益性行业科研专项项目（201204105）;国家“十二·五”科技支撑课题（2011BAD38B06）。
中图分类号: S792.119

Estimation Model of Poplar Equivalent Water Thickness Based on Hyperspectral Information

1.
Research Institute of Forestry, Chinese Academy of Forestry, Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing 100091, China
2.
Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, Jiangsu, China
CLC number: S792.119

摘要: [目的] 为实现杨树叶片水分高光谱信息进行快速、准确估算，[方法] 将实测杨树叶片等效水厚度作为水分含量表征量，并测定叶片高光谱数据，同时，利用辐射传输模型模拟不同等效水厚度条件下的叶片尺度和冠层尺度的高光谱反射数据，通过分析常用水分植被指数对等效水厚度的敏感性，利用植被指数比值的方法构建新等效水厚度植被指数（GVMI/MSI）。通过GVMI/MSI、全球植被水分指数（GVMI）、水分胁迫指数（MSI）分别对杨树叶片尺度和冠层尺度等效水厚度估算精度进行比较分析。[结果] 表明：GVMI指数、MSI指数以及新建GVMI/MSI指数的叶片尺度杨树叶片等效水厚度估算模型的精度R2分别为0.997、0.995、0.998；冠层尺度杨树叶片等效水厚度估算模型精度分别为0.837、0.836、0.973，其中，新建GVMI/MSI指数为杨树叶片等效水厚度估算最佳指数。[结论] GVMI/MSI构建的杨树叶片等效水厚度模型的预测精度较高，是杨树叶片等效水厚度的最佳估算模型。
- 杨树
- / 叶片水分含量
- / 光谱模型
- / 水分植被指数
Abstract: [Objective] To establish a model for the purpose of rapid and effective monitoring of poplar leaf water. [Methods] The equivalent water thickness (EWT) of poplar leaves was used as the token water content, the hyperspectral data of poplar was measured. The range of the equivalent water thickness, measured in poplar leaves, was used as the input parameters of the model. The hyperspectral reflectance data of leaf scale and canopy scale were simulated in different equivalent water thickness. By analyzing common water vegetation index sensitivity of equivalent water thickness, a vegetation index was constructed by the method of vegetation index ratio. The equivalent water thickness estimation accuracy of the leaf scale and canopy scale of poplar was compared with GVMI/MSI, global vegetation moisture index (GVMI) and water stress index (MSI). [Results] The result shows that the accuracies of the equivalent water thickness estimation model of Poplar (R2) with GVMI, MSI and GVMI/MSI as variable are respectively 0.997, 0.995 and 0.998 in leaf scale, and 0.837, 0.836 and 0.973 in canopy scale. GVMI/MSI is the best index for the equivalent water thickness of poplar leaves. [Conclusion] The equivalent water thickness model of poplar leaves modeled by GVMI/MSI has higher prediction accuracy. It is the optimal estimation model of equivalent water thickness of poplar leaves.
- poplar
- / equivalent water thickness
- / spectral model
- / vegetation water index

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基于高光谱信息的107杨叶片等效水厚度估算模型的研究

Estimation Model of Poplar Equivalent Water Thickness Based on Hyperspectral Information

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基于高光谱信息的107杨叶片等效水厚度估算模型的研究

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Estimation Model of Poplar Equivalent Water Thickness Based on Hyperspectral Information

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基于高光谱信息的107杨叶片等效水厚度估算模型的研究

Estimation Model of Poplar Equivalent Water Thickness Based on Hyperspectral Information

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基于高光谱信息的107杨叶片等效水厚度估算模型的研究

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Estimation Model of Poplar Equivalent Water Thickness Based on Hyperspectral Information

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