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Simulation of chlorophyll fluorescence for sun- and shade-adapted leaves of 3D canopies with the dart model


Gastellu-Etchegorry, JP and Malenovsky, Z and Duran Gomez, N and Meynier, J and Lauret, N and Yin, T and Qi, J and Guilleux, J and Chavanon, E and Cook, B and Morton, D, Simulation of chlorophyll fluorescence for sun- and shade-adapted leaves of 3D canopies with the dart model, Proceedings of the 2018 IEEE International Symposium Geoscience and Remote Sensing, 22-27 July 2018, Valencia, Spain, pp. 5999-6002. ISBN 9781538671504 (2018) [Refereed Conference Paper]

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Potential of solar-induced chlorophyll fluorescence (SIF) to track time variable environmental stress of vegetation explains high interest in SIF remote sensing. There is an increasing need for physical models that consider the 3D structure of Earth surfaces, in order to better understand the relationships between SIF, vegetation threedimensional (3D) architecture, irradiance and remote sensing configuration at canopy level. The Discrete Anisotropic Radiative Transfer (DART) model is one of the most comprehensive physically based 3D models of Earthatmosphere radiative transfer (RT), covering the spectral domain from ultraviolet to thermal infrared wavelengths. This paper presents the determination of the sun and shade adapted leaf elements of a 3D vegetation canopy in DART, which is required for accurate RT simulations of SIF in geometrically explicit 3D canopy representations

Item Details

Item Type:Refereed Conference Paper
Keywords:DART, SIF, 3-D vegetation, remote sensing, sun-shade leaves
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the biological sciences
UTAS Author:Malenovsky, Z (Dr Zbynek Malenovsky)
ID Code:127580
Year Published:2018
Funding Support:Australian Research Council (FT160100477)
Deposited By:Geography and Spatial Science
Deposited On:2018-08-03
Last Modified:2020-05-19
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