PROSPECT-D: towards modeling leaf optical properties through a complete lifecycle

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How the Optical Properties of Leaves Modify the Absorption and Scattering of Energy and Enhance Leaf Functionality (2020, background): “(2017) combined these in developing the PROSPECT-D model and tested the inversion on leaf data from six data sets with a total of 521 leaves.”
Differentiating plant functional types using reflectance: which traits make the difference? (2018, methodology): “Chlorophyll content, carotenoid content, mesophyll structure and brown pigment content were derived using an inversion of leaf spectra and the PROSPECT-D model (F eret et al. 2017).”
Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study (2018, background): “With the future availability of hyperspectral data sources, the estimation of ALIA and leaf pigment variables, such as total carotenoid content or anthocyanins being key indicators of plant and crop health by influencing the nutrient, nitrogen, carbon, and water related mechanisms in plants [25], sh”
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents (2020, methodology): “We assembled a second dataset to test the capability of PROSPECT-PRO to estimate LMA as the combination of leaf proteins plus CBC contents in comparison to the previous version PROSPECT-D (Féret et al., 2017).”