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Applicability of linear regression equation for prediction of chlorophyll content in rice leaves

机译:线性回归方程适用于稻叶中叶绿素含量预测的情况

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A modeling approach is used to assess the applicability of the derived equations which are capable to predict chlorophyll content of rice leaves at a given view direction. Two radiative transfer models, including PROSPECT model operated at leaf level and FCR model operated at canopy level, are used in the study. The study is consisted of three steps: (1) Simulation of bidirectional reflectance from canopy with different leaf chlorophyll contents, leaf-area-index (LAI) and under storey configurations; (2) Establishment of prediction relations of chlorophyll content by stepwise regression; and (3) Assessment of the applicability of these relations. The result shows that the accuracy of prediction is affected by different under storey configurations and, however, the accuracy tends to be greatly improved with increase of LAI.
机译:建模方法用于评估衍生方程的适用性能够在给定视图方向上预测米叶的叶绿素含量。研究中使用了两个辐射转移模型,包括在叶片水平和CORopy水平运行的FCR模型中操作的前景模型。该研究由三个步骤组成:(1)从不同叶片叶绿素内容,叶片区指数(LAI)和岩石配置中的双向反射率的模拟; (2)逐步回归建立叶绿素含量的预测关系; (3)评估这些关系的适用性。结果表明,在岩石配置下,预测的准确性受到不同的影响,然而,随着LAI的增加,精度趋于大大提高。

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