Modelling leaf spectral properties in a soybean canopy

Accurate modelling of light–plant interactions requires knowledge on how light interacts with leaves within the canopy, which can be difficult to measure and model in dynamic and heterogeneous canopies. Coussement et al. show that non-destructive, fast measurements of the chlorophyll content index are an accurate predictor for leaf spectral characteristics.

A 3D recreation of a soybean, <em>Glycine max</em> L. Merr., crop canopy generated using a functional-structural plant model in the software GroIMP.
A 3D recreation of a soybean, Glycine max L. Merr., crop canopy generated using a functional-structural plant model in the software GroIMP. It shows the heterogeneity in leaf colour, and hence chlorophyll content index, present in a soybean canopy which influences light conditions. The black box above the canopy is a virtual PAR sensor. A rigorous measurement and modelling approach is required to capture and incorporate such heterogeneity to accurately model light quality and quantity.

They link this index with the parameters in the PROSPECT radiative transfer model and integrated the model in a soybean virtual plant model. This allows them to more accurately describe light conditions within the canopy, which can aid in a better and dynamic understanding of actual perceived light within a canopy.

Reference List

Coussement, J., Henke, M., Lootens, P., Roldán-Ruiz, I., Steppe, K., & De Swaef, T. (2018). Modelling leaf spectral properties in a soybean functional–structural plant model by integrating the prospect radiative transfer model. Annals of Botany, 122(4), 669–676. https://doi.org/10.1093/aob/mcy105