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Novel algorithms for remote sensing of chlorophyll content in higher plant leaves

机译:遥感高等植物叶片中叶绿素含量的新算法

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The general features of reflectance spectra of higher plant leaves are considered with special reference to remote sensing of chlorophyll. Wavelengths with maximum sensitivity to chlorophyll content were found in the wide spectral range from 550 to 630 nm and near 700 nm. The wavelength of the red edge position of the reflectance spectrum correlated very closely with the reflectance at 550 and 700 nm. The ratios of reflectances in the near infra-red range of the spectrum (above 750 nm) to that at 700 nm R/sub NIR//R/sub 700/ and R/sub NIR//R/sub 550/ were directly proportional to the leaf chlorophyll content. Newly introduced algorithms make it possible precise chlorophyll estimation (with an error of less than 5 nmol/cm/sup 2/) and probably could be applied to a number of plant species. They exhibit more than 6 times wider dynamic range than the widely used Normalized Difference Vegetation Index.
机译:考虑到高等植物叶片反射光谱的一般特征,特别是对叶绿素的遥感研究。在550至630 nm的宽光谱范围和700 nm附近发现了对叶绿素含量具有最大敏感性的波长。反射光谱的红色边缘位置的波长与550和700 nm处的反射率密切相关。 R / sub NIR // R / sub 700 /和R / sub NIR // R / sub 550 /在近红外光谱范围(750 nm以上)与700 nm处的反射率之比成正比到叶绿素含量。新引入的算法使精确的叶绿素估计(误差小于5 nmol / cm / sup 2 /)成为可能,并且可能会应用于许多植物物种。它们的动态范围是广泛使用的归一化植被指数的6倍以上。

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