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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Relations of remote sensing leaf water indices to leaf water thickness in cowpea, bean, and sugarbeet plants
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Relations of remote sensing leaf water indices to leaf water thickness in cowpea, bean, and sugarbeet plants

机译:cow豆,豆类和甜菜植物叶片水分指数与叶片水分厚度的关系

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摘要

Remote sensing leaf water indices depend on two variables: the relative water content (RWC) of leaf cells, which may serve as an indicator for water deficit stress in plants, and leaf thickness. The measurement of leaf water thickness (LWT) appears to be an experimental method that can be well correlated with leaf water indices. We studied how leaf water indices relate to the LWT in cowpea, bean, and sugarbeet. In all three species, the LWT increased linearly with increasing leaf thickness. The T-1300/T-1450 leaf water index, based on light transmitted through leaves, showed a strong exponential correlation with the LWT as expected from theoretical analysis. However, the R-1300/R-1450 leaf water index, based on light reflected from leaves, exhibited a characteristic logarithmic correlation with the LWT. For both leaf water indices we found only minor differences between the three species examined. (C) 2007 Elsevier Inc. All rights reserved.
机译:遥感叶片水分指数取决于两个变量:叶片细胞的相对含水量(RWC)(可作为植物缺水胁迫的指标)和叶片厚度。叶水厚度(LWT)的测量似乎是一种实验方法,可以与叶水指数很好地相关。我们研究了cow豆,豆类和甜菜中叶的水分指数如何与LWT相关。在所有三个物种中,LWT随着叶片厚度的增加而线性增加。根据理论分析,T-1300 / T-1450叶片的水分指数基于透过叶片的光,与LWT表现出很强的指数相关性。然而,基于叶片反射的光,R-1300 / R-1450叶片的水分指数与LWT表现出特征对数相关性。对于两种叶片水分指数,我们发现三种被测物种之间只有很小的差异。 (C)2007 Elsevier Inc.保留所有权利。

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