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)
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
Next generation tools for understanding habitat change Theme(s): Applied ecology, ecosystem services and conservation, Ecosystem processes, dynamics and functioning, Machine Learning, Multispectral, Remote Sensing, Satellite Data, Vegetation Primary Supervisor: David Williams <d.r.williams@leeds.ac.uk> Institution: University of Leeds
How fragmented are the world’s savannas? Theme(s): Applied ecology, ecosystem services and conservation, Ecosystem processes, dynamics and functioning, Remote Sensing, Synthetic Aperture Radar (SAR), Vegetation Primary Supervisor: Casey Ryan Institution: University of Edinburgh (School of GeoSciences)
Scaling forest biomass dynamics across the tropics; from forest plots to satellite swathes Theme(s): Data Assimilation, Ecosystem processes, dynamics and functioning, Modelling, Remote Sensing Primary Supervisor: Mathew Williams <Mat.Williams@ed.ac.uk> Institution: University of Edinburgh (School of GeoSciences)
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)
Faster, greener, and more competitive? How will vegetation alter in a changing Antarctic? Theme(s): Applied ecology, ecosystem services and conservation, Climate, Multispectral, Remote Sensing, Vegetation Primary Supervisor: Dr. Claudia Colesie Institution: University of Edinburgh (School of GeoSciences)
