Contribution of woody elements to tree level reflectance in boreal forests

Spectral mixture analysis was used to estimate the contribution of woody elements tree level reflectance from airborne hyperspectral data in boreal forest stands Finland. Knowledge or is important context lea area index (LAI) estimation and, e.g., defoliation due insect outbreaks, remote sensing data. Field measurements four Scots pine ( L.), five Norway spruce (L.) Karst.) and birch Roth Ehrh.) dominated plots, spectral needles, leaves, bark, floor, as well laser scanning were together with a physically-based model. We compared results based on simple linear combinations measured bark needle/leaf spectra those obtained by accounting for multiple scattering radiation within canopy using The floor additionally considered. resulted mean element estimates varied 0.140 0.186 pine, 0.116 0.196 birches 0.090 0.095 spruce, depending model used. had weak connection plot variables.Pinus sylvestrisPicea abiesBetula pendulaBetula pubescens