Detecting and modelling transient crustal deformation using Sentinel-1 InSAR and Machine Learning Theme(s): Artificial Intelligence, Interferometry, Machine Learning, Modelling, Remote Sensing, Satellite Data, Synthetic Aperture Radar (SAR), Tectonics, volcanology and solid Earth geophysics Primary Supervisor: Tim Wright <t.j.wright@leeds.ac.uk> Institution: University of Leeds (School of Earth and Environment)
Ice Sheet – ocean interactions: Using satellite data to understand ice dynamic change Theme(s): Advanced Computing, Altimetry, Artificial Intelligence, Cryosphere, Earth Observation, Glaciology, Oceanography, Remote Sensing, Synthetic Aperture Radar (SAR) Primary Supervisor: Anna Hogg <A.E.Hogg@leeds.ac.uk> Institution: University of Leeds (School of Earth and Environment)
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)
