L-Band TomoSAR Deep Imaging: From Glacier Internal Structure Mapping to Anomaly Detection Theme(s): Climate, Cryosphere, Machine Learning, Modelling Primary Supervisor: Dr Mehrdad Yaghoobi <M.Yaghoobi-Vaighan@ed.ac.uk> Institution: University of Edinburgh
Explainable Population Estimation Using Deep Learning from Satellite Imagery Theme(s): Machine Learning, Remote Sensing Primary Supervisor: Dr Sohan Seth <sseth@ed.ac.uk> Institution: University of Edinburgh (School of Informatics)
Deriving pressure fields in Antarctic sea ice from satellite observations Theme(s): Artificial Intelligence, Earth Observation, Machine Learning, RADAR, Sea Ice Primary Supervisor: Dr Martin Rogers <marrog@bas.ac.uk> Institution: British Antarctic Survey
Can air-sea coupling solve the signal-to-noise paradox in climate predictions? Theme(s): Artificial Intelligence, Atmosphere and Climate, Climate, Machine Learning, ocean Primary Supervisor: Dr Amanda Maycock <A.C.Maycock@leeds.ac.uk> Institution: University of Leeds (School of Earth and Environment)
Data-driven measuring, modelling and predicting the hole in the Earth’s magnetic field Theme(s): Artificial Intelligence, Atmospheric Physics, Geomagnetic Field, Machine Learning, Satellite Data Primary Supervisor: Professor Phil Livermore <p.w.livermore@leeds.ac.uk> Institution: University of Leeds (School of Earth and Environment)
A machine learning approach to constraining ice volume and potential loss in High Mountain Asia Theme(s): Artificial Intelligence, Climate, Cryosphere, Glaciology, Machine Learning Primary Supervisor: Dr Daniel Goldberg <Dan.Goldberg@ed.ac.uk> Institution: University of Edinburgh (School of Geosciences )
Temperature and heat stress in tropical forests Theme(s): Artificial Intelligence, Earth Observation, Machine Learning, Multispectral, Satellite Data Primary Supervisor: Dr Stuart King <S.King@ed.ac.uk> Institution: University of Edinburgh (School of Mathematics)
EO4SDGs: Spatiotemporal poverty mapping using earth observation data and deep learning in Africa Theme(s): Earth Observation, Machine Learning, Remote Sensing Primary Supervisor: Dr Gary R Watmough <Gary.Watmough@ed.ac.uk> Institution: University of Edinburgh (School of Geosciences )
Characterising and improving understanding of mesoscale convective systems over south-east Asia using machine learning Theme(s): Artificial Intelligence, Atmosphere and Climate, Atmospheric Physics, Earth Observation, Floods, Machine Learning, Meteorology, Modelling Primary Supervisor: Dr Juliane Schwendike Institution: University of Leeds
Impact of oceanic mesoscale eddies on the productivity of the western Bay of Bengal: contribution of new EO data and machine learning Theme(s): Artificial Intelligence, Earth Observation, Machine Learning, Ocean colour, Ocean currents, Oceanography Primary Supervisor: Dr Fatma Jebri (NOC) <fatma.jebri@noc.ac.uk>
