Remote sensing of sun-induced chlorophyll fluorescence is a promising approach to track photosynthetic activity at various scales. So far, knowledge on the spatial patterns of the signal is very limited. In this study, we investigate the possibility to derive sun-induced chlorophyll fluorescence over an intensive agricultural area by means of airborne hyperspectral data. Main focus of the analysis is to interpret the spatial variability of the estimated fluorescence signal on the basis of its
interdependency with different proxies for green vegetation. Results indicate that the fluorescence signal has potential to explain intra-field variations concerning vegetation state and cover.