Estimation Model of Poplar Equivalent Water Thickness Based on Hyperspectral Information / 基于高光谱信息的107杨叶片等效水厚度估算模型的研究
[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, me...
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Published in | Forest research (Beijing) Vol. 29; no. 6; p. 826 |
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Main Authors | , , , , |
Format | Journal Article |
Language | Chinese |
Published |
Beijing
Chinese Academy of Forestry
01.01.2016
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Subjects | |
Online Access | Get full text |
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Summary: | [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 0.99 |
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ISSN: | 1001-1498 |