Fig. 4. Scatter plots of predicted leaf weight
(W leaf), leaf N content in the canopy
(N leaf) and leaf area index (LAI) from
hyperspectral image data with
respect to their measurements in the training (a-c) and testing (d-f)
set, using the Gaussian Process Regression (GPR) algorithm. The vertical
bars denote the predicted standard deviations from the GPR. The grey
lines indicate a 1:1 relationship.