水稻叶片叶绿素、类胡萝卜素含量估算的归一化色素指数研究

测定了水稻叶片的高光谱反射率，以及相应的叶绿素、类胡萝卜素含量，采用一种将350～2 500 nm范围内所有光谱波段两两组合的方法，构建所有可能的归一化比值色素指数，并建立这些指数与叶绿素、类胡萝卜素含量的统计模型，然后将构成最佳模型的指数确定为最适合相应色素估算的指数，并进行验证以及与已知归一化色素指数进行了比较。结果表明，本研究所给出基于叶片水平的色素指数(R_{1 729}-R₇₀₇)/(R_{1 729}＋R₇₀₇)，(R_{1 554}-R₅₇₂)/(R_{1 554}＋R₅₇₂)，(R_{1 729}-R₇₀₆)/(R_{1 729}＋R₇₀₆)，(R_{1 536}-R₇₀₇)/(R_{1 536}＋R₇₀₇)可以较好地估算叶绿素、类胡萝卜素含量。构成这些色素指数的指数波段主要位于700 nm附近，其次为绿光长波区域;构成指数的参照波段主要位于短波红外区域。这说明短波红外区域在色素指数的构建中也有重要作用。这些色素指数对叶绿素、类胡萝卜素含量的估算效果一般要好于各已知的归一化比值色素指数，或者与最好的已知色素指数估算效果相当。

Normalized Difference Ratio Pigment Index for Estimating Chlorophyll and Cartenoid Contents of in Leaves of Rice

The objective of the present study was (1) to construct new pigment indices based on making full use of all the spectral bands in the 350-2 500 nm region and (2) to compare the performance of these new pigment indices with that of the published normalized difference ratio pigment indices in estimating pigment content of rice. The 252 leaves of rice were sampled at different development stages,representing a wide range of pigment contents. The hyperspectral reflectance of leaves of rice and the corresponding...