Simulation of Solar-Induced Chlorophyll Fluorescence from 3D Canopies with the Dart Model
Autor: | O. Regaieg, Y. Wang, Z. Malenovsky, T. Yin, A. Kallel, J. Duran N., A. Delavois, J. Qi, E. Chavanon, N. Lauret, J. Guilleux, B. Cook, D. Morton, J.P. Gastellu-Etchegorry |
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Rok vydání: | 2020 |
Předmět: |
Canopy
Dart 010504 meteorology & atmospheric sciences 0211 other engineering and technologies 02 engineering and technology Atmospheric model Vegetation Atmospheric sciences 01 natural sciences Radiative transfer Environmental science Anisotropy Chlorophyll fluorescence computer 021101 geological & geomatics engineering 0105 earth and related environmental sciences Downscaling computer.programming_language |
Zdroj: | IGARSS |
DOI: | 10.1109/igarss39084.2020.9323616 |
Popis: | The potential of solar-induced chlorophyll fluorescence (SIF) to monitor photosynthesis and plant stress has attracted considerable interest in SIF remote sensing (RS). However, canopy SIF and RS observations are impacted by topography, vegetation three dimension (3D) structure, leaf orientation, non foliar elements (e.g., tree woody skeleton), … Physically based downscaling of canopy SIF RS data to leaf-level (i.e., to leaf photosynthesis) requires 3D radiative transfer (RT) models simulating canopy SIF and its observation. These models are necessary to better exploit the potential of SIF, by linking leaf SIF and SIF in RS observations as a function of canopy 3D architecture and experimental configurations (sun and viewing directions, etc.). The Discrete Anisotropic Radiative Transfer (DART) model is a comprehensive 3D radiative transfer (RT) model for urban and natural landscapes. This paper presents its SIF modeling for vegetation simulated with facets, its validation with the SCOPE/mSCOPE 1D models, and its recent extension to SIF modelling for landscapes simulated with 3D turbid medium. |
Databáze: | OpenAIRE |
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