Picea abies; stand variables; stem number; remote sensing; multispectral classification; Linear Spectral Mixture Analysis

One of the most common applications of remote sensing in forestry is the production of thematic maps, depicting e.g. tree species or stand age, by means of image classification. Nevertheless, the absolute quantification of stand variables is even …