Development and exploitation of a high-resolution sea level product in the coastal ocean Theme(s): Advanced Computing, Altimetry, Climate, Oceanography, Remote Sensing, Satellite Data, Sea Level Primary Supervisor: Chris Banks <chris.banks@noc.ac.uk> Institution: National Oceanography Centre
Using remote sensing tools to study ocean health and whale strandings Theme(s): Applied ecology, ecosystem services and conservation, Geographic Information Systems, Machine Learning, Oceanography, Remote Sensing, Satellite Data Primary Supervisor: Jen Jackson <jeck@bas.ac.uk> Institution: British Antarctic Survey (Ecosystems)
‘Tipping the Balance’ – Understanding coastal change using novel multi-platform ground and space-based remote sensing methods Theme(s): Advanced Computing, Earth Observation, Oceanography Primary Supervisor: Paul Bell <psb@noc.ac.uk> Institution: National Oceanography Centre (Marine Physics & Ocean Climate)
Indian Ocean ecosystems dynamics across biogeochemical provinces: A Machine Learning approach Theme(s): Earth Observation, Ecosystem processes, dynamics and functioning, Machine Learning, Neural Networks, Oceanography, Satellite Data Primary Supervisor: Fatma Jebri
Understanding the role of Antarctic sea ice in dense water formation and heat and carbon sequestration: from satellite altimetry to ‘big data’ analysis Theme(s): Advanced Computing, Altimetry, Climate, Cryosphere, Machine Learning, Modelling, Oceanography, Remote Sensing, Sea Ice Primary Supervisor: Alice Marzocchi <alice.marzocchi@noc.ac.uk> Institution: National Oceanography Centre
Improving the utility of ocean colour satellites in marine systems science Theme(s): Advanced Computing, Aquatic/terrestrial/soil biogeochemistry, Artificial Intelligence, Climate, Earth Observation, Ecosystem processes, dynamics and functioning, Living World, Machine Learning, Modelling, Multispectral, Neural Networks, Ocean colour, Oceanography, Optical, Remote Sensing, Satellite Data Primary Supervisor: B. B. Cael <cael@noc.ac.uk> Institution: NOC (OBG)
Sequential Bayesian inference for spatio-temporal probabilistic models of changes in global vegetation and ocean properties using Earth Observation data. Theme(s): Artificial Intelligence, Ecosystem processes, dynamics and functioning, Forest, Machine Learning, Ocean colour, Ocean currents, Optical, Remote Sensing, Satellite Data, Vegetation Primary Supervisor: Victor Elvira Institution: University of Edinburgh (School of Mathematics)
Blue carbon change on polar continental shelves with ocean colour & current dynamics Theme(s): Artificial Intelligence, Geographic Information Systems, Machine Learning Primary Supervisor: David K A Barnes Institution: British Antarctic Survey (Biodiversity, Adaptations and Evolution)
