Siegmann Bastian, Cendrero-Mateo Maria Pilar, Cogliati Sergio, Damm Alexander, Gamon John, Herrera David, Jedmowski Christoph, Junker-Frohn Laura Verena, Kraska Thorsten, Muller Onno, Rademske Patrick, van der Tol Christiaan, Quiros-Vargas Juan, Yang Peiqi, Rascher Uwe
Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52428 Jülich, Germany.
Laboratory of Earth Observation, Image Processing Laboratory, University of Valencia, C/ Catedrático José Beltrán, 2, 46980 Paterna, Valencia, Spain.
Remote Sens Environ. 2021 Oct;264:112609. doi: 10.1016/j.rse.2021.112609.
Remote sensing-based measurements of solar-induced chlorophyll fluorescence (SIF) are useful for assessing plant functioning at different spatial and temporal scales. SIF is the most direct measure of photosynthesis and is therefore considered important to advance capacity for the monitoring of gross primary production (GPP) while it has also been suggested that its yield facilitates the early detection of vegetation stress. However, due to the influence of different confounding effects, the apparent SIF signal measured at canopy level differs from the fluorescence emitted at leaf level, which makes its physiological interpretation challenging. One of these effects is the scattering of SIF emitted from leaves on its way through the canopy. The escape fraction ( ) describes the scattering of SIF within the canopy and corresponds to the ratio of apparent SIF at canopy level to SIF at leaf level. In the present study, the fluorescence correction vegetation index (FCVI) was used to determine of far-red SIF for three structurally different crops (sugar beet, winter wheat, and fruit trees) from a diurnal data set recorded by the airborne imaging spectrometer HyPlant. This unique data set, for the first time, allowed a joint analysis of spatial and temporal dynamics of structural effects and thus the downscaling of far-red SIF from canopy ( ) to leaf level ( ). For a homogeneous crop such as winter wheat, it seems to be sufficient to determine once a day to reliably scale SIF from canopy to leaf level. In contrast, for more complex canopies such as fruit trees, calculating for each observation time throughout the day is strongly recommended. The compensation for structural effects, in combination with normalizing SIF to remove the effect of incoming radiation, further allowed the estimation of SIF emission efficiency ( ) at leaf level, a parameter directly related to the diurnal variations of plant photosynthetic efficiency.
基于遥感的太阳诱导叶绿素荧光(SIF)测量对于评估不同空间和时间尺度下的植物功能很有用。SIF是光合作用最直接的测量指标,因此被认为对于提高总初级生产力(GPP)的监测能力很重要,同时也有人提出其产量有助于早期检测植被胁迫。然而,由于不同混杂效应的影响,在冠层水平测量的表观SIF信号与叶片水平发出的荧光不同,这使得其生理学解释具有挑战性。其中一个效应是叶片发出的SIF在穿过冠层的过程中的散射。逃逸分数( )描述了SIF在冠层内的散射,对应于冠层水平的表观SIF与叶片水平的SIF之比。在本研究中,利用荧光校正植被指数(FCVI)从机载成像光谱仪HyPlant记录的日数据集确定了三种结构不同的作物(甜菜、冬小麦和果树)远红SIF的 。这个独特的数据集首次允许对结构效应的空间和时间动态进行联合分析,从而将远红SIF从冠层( )尺度缩小到叶片水平( )。对于像冬小麦这样的均匀作物,每天确定一次 似乎足以可靠地将SIF从冠层尺度缩小到叶片水平。相比之下,对于像果树这样更复杂的冠层,强烈建议在一天中的每个观测时间计算 。对结构效应的补偿,结合对SIF进行归一化以消除入射辐射的影响,进一步允许估计叶片水平的SIF发射效率( ),这是一个与植物光合效率日变化直接相关的参数。