This lecture presents the basics of Forest Imaging Spectroscopy. First, spectral characteristics of vegetation on leaf and canopy level are shown and explained using measured and modelled spectral reflectance characteristics. Basics of model inversion follow. Then some typical analyses are shown using example data and workflows. These include tree species classification, mapping foliar nitrogen content as an example of regression for quantitative mapping, and finally drought stress mapping.
Students are advised to go through the lecture “Principles of imaging spectroscopy” before starting with this lecture.