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Applicability of Linear Regression Equation for Prediction of Chlorophyll Content in Rice Leaves

机译:线性回归方程在水稻叶片叶绿素含量预测中的适用性

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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:使用一种建模方法来评估所导出方程的适用性,这些方程能够在给定视图方向上预测稻叶的叶绿素含量。在研究中使用了两种辐射传递模型,包括在叶片水平运行的PROSPECT模型和在冠层水平运行的FCR模型。这项研究包括三个步骤:(1)模拟不同叶绿素含量,叶面积指数(LAI)和不同层型的冠层的双向反射率; (2)通过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,楼层结构的不同会影响预测的准确性,但是随着LAI的增加,预测的准确性往往会大大提高。

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