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Airborne based spectroscopy of red and far-red sun-induced chlorophyll fluorescence: Implications for improved estimates of gross primary productivity

机译:机载光谱的红色和远红色太阳诱导的叶绿素荧光:对总初级生产力的改进估计的含义

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摘要

Remote sensing (RS) approaches commonly applied to constrain estimates of gross primary production (GPP) employ greenness-based vegetation indices derived from surface reflectance data. Such approaches cannot capture dynamic changes of photosynthesis rates as caused by environmental stress. Further, applied vegetation indices are often affected by background reflectance or saturation effects. Sun. induced chlorophyll fluorescence (F) provides the most direct measure of photosynthesis and has been recently proposed as a new RS approach to improve estimates of GPP and tracing plant stress reactions. This work aims to provide further evidence on the complementary information content of F and its relation to changes in photosynthetic activity compared to traditional RS approaches.We use the airborne imaging spectrometer HyPlant to obtain several F products including red fluorescence (F687), far-red fluorescence (F760), F760 yield (F760yield) and the ration between F687 and F760 (Fratio).Wecalculate several vegetation indices indicative for vegetation greenness.Weapply a recently proposed F-based semi-mechanistic approach to improve the forward modeling of GPP using F760 and compare this approach with a traditional one based on vegetation greenness and ground measurements of GPP derived from chamber measurements. In addition, we assess the sensitivity of F760yield and Fratio for environmental stress. Our results show an improved predictive capability of GPP when using F760 compared to greenness-based vegetation indices. F760yield and Fratio showa strong variability in time and between different crop types suffering from different levels of water shortage, indicating a strong sensitivity of F products for plant stress reactions. We conclude that the new RS approach of F provides complements to the set of commonly applies RS: The use of F760 improves constraining estimates of GPP while the ratio of red and far-red F shows large potential for tracking spatio-temporal plant adaptation in response to environmental stress conditions.
机译:通常用于约束初级生产总值(GPP)估算的遥感(RS)方法采用从表面反射率数据得出的基于绿色的植被指数。这样的方法不能捕获由环境胁迫引起的光合作用速率的动态变化。此外,所应用的植被指数通常受背景反射率或饱和度影响。太阳。诱导的叶绿素荧光(F)提供了最直接的光合作用量度,最近已被提出作为一种新的RS方法来改善GPP估计值并追踪植物胁迫反应。这项工作旨在提供与传统RS方法相比F的补充信息含量及其与光合作用变化关系的进一步证据。我们使用机载成像光谱仪HyPlant获得了几种F产物,包括红色荧光(F687),远红外荧光(F760),F760产量(F760产量)以及F687和F760之间的比率(比率)我们计算了指示植被绿色的几种植被指数我们应用了最近提出的基于F的半机械方法,以改进使用F760的GPP的正向建模并将这种方法与基于植被绿色和从室内测量得出的GPP地面测量值的传统方法进行比较。此外,我们评估了F760产量和Fratio对环境压力的敏感性。我们的结果表明,与基于绿色的植被指数相比,使用F760可以提高GPP的预测能力。 F760产量和Fratio在时间上以及在不同缺水水平的不同农作物之间表现出很强的变异性,表明F产品对植物胁迫反应具有很强的敏感性。我们得出结论,F的新RS方法为常用RS集合提供了补充:F760的使用改善了GPP的约束估计,而红色和远红色F的比例显示了响应时空植物适应性的巨大潜力应对环境压力条件。

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