R package for the simulation of leaf optical properties based on their biochemical and biophysical properties using the PROSPECT leaf model. A tutorial can be found on the gitlab website
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Updated
Feb 8, 2024 - R
R package for the simulation of leaf optical properties based on their biochemical and biophysical properties using the PROSPECT leaf model. A tutorial can be found on the gitlab website
A deep learning-based method to infer leaf angle variation from photographs.
A project focused on the development of generalized spectra-trait models for the prediction of leaf photosynthetic capacity. This includes models focused on the prediction of leaf nitrogen, leaf mass per area (LMA), leaf water content (LWC), Vcmax, Jmax and dark respiration.
Supplimental information, data, and code for Newsome et al. 2020. "Variation within laminae: Semi-automated methods for quantifying leaf venation using phenoVein" in Applications in Plant Sciences 8(5) e11346.
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