Quantifying vertical profiles of biochemical traits for forest plantation species using advanced remote sensing approaches
They uses a series of VIs as biochemical contents model parameters. Models were separately trained by canopy vertical layers. There was no significant differences among the models. It proves that reflectance just accounts for all the variations in biochemical contents. Also models were stable from canopy structure. It partly proves that stacked leaf condition accounts for canopy architectural variability.
Reference
Shen, X., Cao, L., Coops, N. C., Fan, H., Wu, X., Liu, H., ... & Cao, F. (2020). Quantifying vertical profiles of biochemical traits for forest plantation species using advanced remote sensing approaches. Remote Sensing of Environment, 250, 112041.