The CHRIS sensor, mounted on the PROBA satellite, is one of the first space-borne hyperspectral sensors offering high spatial resolution (18 m × 18 m). This, combined with the possibility of multi-temporal coverage, makes CHRIS-PROBA exceptionally well suited for lake water monitoring. MEMAMON is a project to monitor the water quality of lakes in the Mecklenburg (Germany) and Mazurian (Poland) lake districts. Both test sites contain a large number of lakes with high variability and different trophic states. This paper presents a study, which aims to determine the trophic parameter chlorophyll-a using hyperspectral CHRIS-PROBA data. To investigate the seasonal dynamics of lakes, CHRIS-PROBA data were acquired in spring, summer and autumn 2002 and 2003. A first analysis of the data showed that CHRIS radiance data have strong artefacts in column direction. Standard destriping techniques were not sufficient to correct the data. Therefore, a novel iterative destriping technique was developed and successfully applied to CHRIS-PROBA data. At the same time to the CHRIS-PROBA data recording, spectral field measurements and acquisition of in-situ data took place in several test-sites. Using these data, chlorophyll algorithms were developed and optimised to the spectral characteristics of the CHRIS sensor. Finally, seasonal maps of chlorophyll concentration are presented, derived from the corrected CHRIS-PROBA data.