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Abstract

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 Type:	Conference Publication
Authors/Creators:	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
Keywords:	DART, SIF, 3-D vegetation, remote sensing, sun-shade leaves
Journal or Publication Title:	Proceedings of the 2018 IEEE International Symposium Geoscience and Remote Sensing
Publisher:	Institute of Electrical and Electronics Engineers
Copyright Information:	Copyright 2018 IEEE
Related URLs:	Google Scholar: Malenovsky, Z UTAS Profile: Malenovsky, Z
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