INVIVO SPECTROSCOPY AND INTERNAL OPTICS OF LEAVES AS BASIS FOR REMOTE-SENSING OF VEGETATION
INVIVO SPECTROSCOPY AND INTERNAL OPTICS OF LEAVES AS BASIS FOR REMOTE-SENSING OF VEGETATION
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DOI：
10.1080/01431169308904370
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发表时间：
1993-03-10
影响因子：
3.4
通讯作者：
NAGEL, E
中科院分区：
文献类型：
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作者：
BUSCHMANN, C;NAGEL, E
在遥感条件下（白光照射，窄角反射光检测），利用VIRAF光谱仪测量了完整豆叶（Phaseolus vulgaris）在400 ~ 800 nm范围内的体内反射光谱。在光诱导变绿过程中，在不同的时间选择颜色从黄色到绿色的叶片。根据反射光谱计算的CIE 1931色度坐标来表征树叶的颜色。概述了叶绿素（绿叶的主要色素）的吸收对叶片反射光谱的影响。体内反射光谱的形状被解释为考虑(a)色素-蛋白质复合物的形成，(b)筛子效应和绕道效应，以及(c)光在叶组织内的反射、折射和散射。对不同波长的反射信号及其比值以及从远红向近红外上升的反射拐点与每叶面积叶绿素含量的线性关系进行了检验。归一化植被指数（NDVI）与叶绿素含量的相关性较差。在800 nm和550 nm处，反射信号比值的对数具有最好的相关性。我们建议将该参数与拐点检测相结合，用于植被遥感探测和叶绿素含量估算。
In vivo reflection spectra of intact bean leaves (Phaseolus vulgaris) were measured between 400 and 800 nm under remote sensing conditions (illumination with white light, detection of a narrow angle of the reflected light) using the VIRAF spectrometer. The leaves with colours from yellow to green were chosen at different times during light-induced greening. The colours of the leaves were characterized by the chromaticity coordinates according to CIE 1931 calculated from the reflection spectra. The influence of the absorption of chlorophyll-the main pigment of green leaves-on the reflection spectrum of leaves is outlined. The shape of the in vivo reflection spectra is interpreted taking into account (a) the formation of pigment-protein complexes, (b) the sieve effect and the detour effect, as well as (c) the reflection, refraction and scattering of light inside the leaf tissue. Reflection signals at several distinct wavelengths and their ratios as well as the inflection point of the reflection rise from the far red towards the near-infrared were checked for linear correlation with the chlorophyll content per leaf area. The normalized difference vegetation index (NDVI) exhibited a relatively bad correlation with the chlorophyll content. The best correlation was found for the logarithm of the ratio of the reflection signals at 800 and 550 nm. We suggest that this parameter is used, in combination with the detection of the inflection point, for remotely-detecting vegetation and for the estimation of its chlorophyll content.