Combination of empirically and physically based model approaches for habitat and vegetation monitoring


Foto: T. Kattenborn		 Process-oriented and empirical modeling approaches in imaging spectroscopy are partly complementary in terms of limitations and potentials. Statistical models, if set up properly, allow for accurate assessments even in situations where process understanding is limited. In contrast, physically based approaches, e.g. radiative transfer models (RTMs), are more valuable for gaining knowledge about the processes leading to the observed canopy reflectance. Their transferability is considered superior because they don't require extensive field surveys for model calibration (there is still need for validation, though). The current project focuses on the integration of both techniques for the mapping of plant traits using hyperspectral data. Based on these traits we aim at mapping plant functional types (PFT) and subsequently habitats featuring characteristic combinations of PFT.