Plymouth Marine Laboratory
Dr Sevrine Sailley
Stephen Groom, Nick Selmes, Jeremy Blackford
The aim of this innovation project is to develop a methodology for predicting jellyfish blooms and tracking seaweed debris using remote-sensing products before they reach the power plant, preventing plant shutdowns and cutting costs. The habitat modelling and remote sensing techniques will allow the project partner to have a more pro-active approach to these events and reduce the cost of ingress events.
Internal webpage of PML modelling group with a short descritption of JaSS
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