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首页> 外文期刊>Journal of Plant Physiology >Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
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Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves

机译：植物叶片中叶绿素含量与光谱反射率的关系及无损叶绿素评估算法

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摘要

Leaf chlorophyll content provides valuable information about physiological status of plants. Reflectance measurement makes it possible to quickly and non-destructively assess, in situ, the chlorophyll content in leaves. Our objective was to investigate the spectral behavior of the relationship between reflectance and chlorophyll content and to develop a technique for non-destructive chlorophyll estimation in leaves with a wide range of pigment content and composition using reflectance in a few broad spectral bands. Spectral reflectance of maple, chestnut, wild vine and beech leaves in a wide range of pigment content and composition was investigated. It was shown that reciprocal reflectance (R-lambda)(-1) in the spectral range lambda from 520 to 550 nm and 695 to 705 nm related closely to the total chlorophyll content in leaves of all species. Subtraction of near infra-red reciprocal reflectance, (R-NIR)(-1), from (R-lambda)(-1) made index [(R-lambda)(-1)-(R-NIR)(-1)] linearly proportional to the total chlorophyll content in spectral ranges lambda from 525 to 555 nm and from 695 to 725 nm with coefficient of determination r(2) > 0.94. To adjust for differences in leaf structure, the product of the latter index and NIR reflectance [(R-lambda)(-1)-(R-NIR)(-1)]*(R-NIR) was used; this further increased the accuracy of the chlorophyll estimation in the range ? from 520 to 585 nm and from 695 to 740 nm. Two independent data sets were used to validate the developed algorithms. The root mean square error of the chlorophyll prediction did not exceed 50 mumol/m(2) in leaves with total chlorophyll ranged from 1 to 830 mumol/m(2).
机译：叶片的叶绿素含量提供了有关植物生理状态的宝贵信息。反射率测量可以快速，无损地就地评估叶片中的叶绿素含量。我们的目的是研究反射率与叶绿素含量之间关系的光谱行为，并开发一种在一些宽光谱带中使用反射率对具有广泛色素含量和成分的叶片进行无损叶绿素估计的技术。研究了枫木，栗子，野藤和山毛榉叶在各种色素含量和组成范围内的光谱反射率。结果表明，在波长范围520至550 nm和695至705 nm的光谱范围内，相互反射（R-lambda）（-1）与所有物种叶片中的总叶绿素含量密切相关。从（R-lambda）（-1）减去近红外互反射率（R-NIR）（-1）得出索引[（R-lambda）（-1）-（R-NIR）（-1 ）]在525至555 nm和695至725 nm光谱范围内，与总叶绿素含量成线性比例，测定系数r（2）> 0.94。为了调整叶片结构的差异，使用了后者指数与近红外反射率的乘积[（R-λ）（-1）-（R-NIR）（-1）] *（R-NIR）;这进一步提高了叶绿素估算范围的准确性。从520到585nm和从695到740nm。使用两个独立的数据集来验证开发的算法。叶绿素预测的均方根误差不超过50μmol/ m（2），总叶绿素的范围为1至830μmol/ m（2）。

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