Remote sensing satellites, such as NTNU's HYPSO-1, can image algae in the ocean. In this project, you will help to identify what species are being imaged by combining the remote sensing data with in-situ sensors. By identifying harmful algal blooms, you will protect fish farms.

• HYPSO-1 observes only the light reflected off of the water, rather than the content of the water

• At several sites along the Norwegian, the HYPSO team will be collecting other measurements in the water (chl-a fluorescence, salinity, temperature, etc)
• The goal is to determine how the in-situ sensors can be used to complement the HYPSO data
  • For example, how can they be used to train machine learning algorithms (CNNs, SVMs, etc)?

• This would be affiliated with the Grønn platform project, so there will be significant interaction with our fish farming industrial partners

• can be extended to enable for the masters’ thesis