The core activity of AQUASCOPE is to research plankton communities in their natural environment, with the aim of understanding and predicting the dynamics and interactions between species. To achieve this, high-resolution monitoring methods and model-based approaches are combined to investigate the impacts of environmental changes such as climate change and eutrophication on plankton communities.
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Plankton monitoring with underwater imaging, automated classification and high-frequency in-situ measurements in Lake Greifensee and Lake Zugersee; collection of physical, chemical and biological data.
Automated plankton classification
Automated classification of plankton from high-resolution images using CNN-supported analysis and real-time object detection for ongoing time series.
Ecological modelling and forecasting of plankton dynamics
Trait-based modelling, statistical models and machine learning to explain plankton communities, predict cyanobacteria blooms and forecast future ecosystem changes.
Underwater imaging for plankton
Underwater dual magnification camera systems for high-resolution imaging of plankton in its natural habitat, with PHYTO CAM and ZOO CAM for different magnifications.
Open data and time series
Provision of real-time and time-series data on plankton, instrumentation, CTD profiles, spectral data and modelled forecasts for Lake Greifensee and Lake Zugersee.
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