FluLCVRT: Reflectance and fluorescence of leaf and canopy modeling based on Monte Carlo vector radiative transfer simulation

Kallel, A.

doi:10.1016/j.jqsrt.2020.107183

Cited by 13 publications

(9 citation statements)

References 34 publications

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“…Under high light -when PQ tends to saturate and NPQ is highly active -the relationship between ΦP and ΦF turns to positive under the action of NPQ, which competes for excitation with both (i.e. couples) ΦP and ΦF 12,52,53 . The latter case can explain the seasonal correlation between ΦP and ΦF observed at the leaf 41,42 (Fig.…”

Section: Challenge 2: Distribution Of Excitation Energy Between Psii ...mentioning

confidence: 99%

“…Physically-based radiative transfer models, which simulate the movement of photons through leaves and plant canopies (Box 2), can be used to provide a quantitative framework to investigate and account for the impact of these factors on APARg and SIF observations 27,53 . Although spatially explicit RTM approaches are already available (see Supplementary Video 1 and 2), advances in the parametrization of within-leaf and canopy drivers of SIF -e.g.…”

Section: Challenge 5: Leaf and Canopy Chlaf Scattering Reabsorption A...mentioning

confidence: 99%

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Chlorophyll a fluorescence illuminates a path connecting plant molecular biology to Earth-system science

et al. 2021

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Section: Challenge 2: Distribution Of Excitation Energy Between Psii ...mentioning

confidence: 99%

Section: Challenge 5: Leaf and Canopy Chlaf Scattering Reabsorption A...mentioning

confidence: 99%

Chlorophyll a fluorescence illuminates a path connecting plant molecular biology to Earth-system science

et al. 2021

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“…In recent modelling studies, the chlorophyll fluorescence emission has been included at the leaf (Kallel, 2020;Pedrós et al, 2010;Vilfan et al, 2018Vilfan et al, , 2016 and canopy level in homogeneous (Atherton et al, 2019;Romero et al, 2020;Yang and van der Tol, 2018;Zeng et al, 2019) and heterogeneous forest canopies (Hernández-Clemente et al, 2017;Liu et al, 2019;Zhao et al, 2016). Furthermore, previous studies have attempted to account for spatial heterogeneity using the first available model-based approximations (Zarco-Tejada et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Assessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data

Hornero

North

Zarco‐Tejada

et al. 2021

Remote Sensing of Environment

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“…ChlF is closely related to photosynthesis and can be used to directly probe photosynthetic mechanical function [23][24][25][26][27]. Several models, such as FluorMODleaf [28], Fluspect [29,30], the newly adopted Monte Carlo ray-tracing model [31], and FluLCVRT [32], can simulate the radiative transfer of ChlF in plant leaves. There are two major techniques to measure canopy level ChlF: a laser-induced fluorescence transient (LIFT) method and a SIF method.…”

Section: Introductionmentioning

confidence: 99%

A New Fluorescence Quantum Yield Efficiency Retrieval Method to Simulate Chlorophyll Fluorescence under Natural Conditions

Zou

Zhang

2020

Remote Sensing

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Chlorophyll fluorescence (ChlF) is a useful indicator of plant photosynthesis and stress conditions. ChlF spectra can be simulated with the Fluspect model, which is a radiative transfer model that simulates leaf reflectance, transmittance, and fluorescence; however, it has never been used or validated under natural conditions. In this paper, a new fluorescence quantum yield efficiency of photosystem (FQE) retrieval method based on the Fluspect model is proposed for use in simulating ChlF in two healthy varieties of soybeans grown under natural conditions. The parameters, Chlorophyll a + b content (Cab), carotenoid (Cca), dry matter content (Cdm), indicator of leaf water content (Cw) and leaf mesophyll structure (N) and the simulated fluorescence from the experiment were compared with the measured values to validate the model under natural conditions. The results show a good correlation (coefficient of determination R2 = 0.7–0.9) with the measured data at wavelengths of 650–880 nm. However, there is a large relative error (RE) that extends up to 150% at the peak of the fluorescence curve. To improve the accuracy of the simulation, an inversion code containing the emission efficiency parameters for photosystems I and II was added, which retrieves FQE I and II from the measured fluorescence spectra. The evaluation results for all wavelengths and two peaks demonstrated a significant reduction in the error at the peak of the curve by the Fluspect model with the FQE inversion code. This new method reduced the overestimation of fluorescence from 150% to 20% for the RE, and the R2 value was higher than 0.9 at the spectra peaks. Additionally, the original plant parameter information remained mostly unchanged upon the addition of the inversion code.

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FluLCVRT: Reflectance and fluorescence of leaf and canopy modeling based on Monte Carlo vector radiative transfer simulation

Cited by 13 publications

References 34 publications

Chlorophyll a fluorescence illuminates a path connecting plant molecular biology to Earth-system science

Chlorophyll a fluorescence illuminates a path connecting plant molecular biology to Earth-system science

Assessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data

A New Fluorescence Quantum Yield Efficiency Retrieval Method to Simulate Chlorophyll Fluorescence under Natural Conditions

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