Multiple-constraint inversion of SCOPE. Evaluating the potential of GPP and SIF for the retrieval of plant functional traits

The most recent efforts to provide remote sensing (RS) estimates of plant function rely on the combination of Radiative Transfer Models (RTM) and Soil-Vegetation-Atmosphere Transfer (SVAT) models, such as the Soil-Canopy Observation Photosynthesis and Energy fluxes (SCOPE) model. In this work we use...

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Veröffentlicht in:	Remote sensing of environment 2019-12, Vol.234, p.111362, Article 111362
Hauptverfasser:	Pacheco-Labrador, Javier, Perez-Priego, Oscar, El-Madany, Tarek S., Julitta, Tommaso, Rossini, Micol, Guan, Jinhong, Moreno, Gerardo, Carvalhais, Nuno, Martín, M. Pilar, Gonzalez-Cascon, Rosario, Kolle, Olaf, Reischtein, Markus, van der Tol, Christiaan, Carrara, Arnaud, Martini, David, Hammer, Tiana W., Moossen, Heiko, Migliavacca, Mirco
Format:	Artikel
Sprache:	eng
Schlagworte:	Atmospheric models Carbon dioxide Carbon dioxide flux Carboxylation Chlorophyll Constraint modelling Covariance Eddy covariance Estimates Fertilization Fluorescence Fruits GPP Grasslands Heat flux Heat transfer Hyperspectral Imagery Inversion Land surface models Leaf area Leaf area index Leaves Mediterranean grassland Nitrogen content Nutrient availability Parameter estimation Parameter sensitivity Photosynthesis Plant functional traits Primary production Radiance Radiative transfer Radiative transfer models Reflectance Remote sensing Retrieval SCOPE inversion Seasonal variations SIF Soils Thermal Vegetation
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