4.7 Article

FluorWPS: A Monte Carlo ray-tracing model to compute sun-induced chlorophyll fluorescence of three-dimensional canopy

Journal

REMOTE SENSING OF ENVIRONMENT
Volume 187, Issue -, Pages 385-399

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2016.10.036

Keywords

Sun-induced chlorophyll fluorescence (SIF); Radiative transfer; Monte Carlo model; Fluorescence model with weighted photon; spread method (FluorWPS)

Funding

  1. Chinese Natural Science Foundation [41371325]
  2. China Scholarship Council (CSC)

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A model to simulate radiative transfer (RT) of sun-induced chlorophyll fluorescence (SIF) of three-dimensional (3-D) canopy, FluorWPS (Fluorescence model with Weighted Photon Spread method), was proposed and evaluated. The inclusion of fluorescence excitation was implemented with the 'weight reduction' and 'photon spread' concepts based on Monte Carlo ray-tracing technique. The radiative transfer of SIF in a 3-D canopy was simulated in a physically-based and rigorous way so that various contributions from the radiative process can be accurately quantified. The physical mechanism behind the spectral and angular distributions of canopy SIF was analyzed based on FluorWPS. SIF anisotropy is an intrinsic property of the vegetative surface and it can be significantly influenced by the canopy structure. The performance of the model was evaluated with field measurements and systematically compared with an established RT model of canopy SIF. Especially the detailed comparison with the RT model for four canopy scenes demonstrates that FluorWPS is capable of faithfully reproducing the spectral and angular distributions of SIF, with the coefficient of determination (R-2) and root mean square error (RMSE) being higher than 0.92 and lower than 0.066 W . m(-2). sr(-1) . mu m(-1), respectively, for the red peak, and higher than 0.92 and lower than 0.16 W . m(-2). sr(-1) . mu m(-1) for the far-red peak. The independent nature of the model's canopy realization from the radiative processes is promising for its wide applications for scientific investigations. (C) 2016 Elsevier Inc. All rights reserved.

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