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)
Improving estimates of Indonesian peatland fire emissions and their subsequent environmental impacts Theme(s): Air Quality, Climate, Forest, Hydrology, Modelling Primary Supervisor: Dominick Spracklen <D.V.Spracklen@leeds.ac.uk> Institution: University of Leeds (School of Earth and Environment)
