‘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)
Development of Novel Rainfall Nowcasting Techniques for Southeast Asia Theme(s): Machine Learning, Meteorology, Remote Sensing, Satellite Data Primary Supervisor: Dr Cathryn Birch <C.E.Birch@leeds.ac.uk> Institution: University of Leeds (School of Earth and Environment)
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
Dust storms in the Sahara and Sahel: Nowcasting and its application to understanding dust emission and transport Theme(s): Air Quality, Atmosphere and Climate, Atmospheric Physics, Climate, Earth Observation, Meteorology, Remote Sensing, Satellite Data Primary Supervisor: Dr John Marsham <J.Marsham@leeds.ac.uk> Institution: University of Leeds (Met Office joint chair) (School of Earth and Environment)
Submarine volcanism from satellite imagery Theme(s): Machine Learning, Ocean colour, Optical, Remote Sensing, Satellite Data, Synthetic Aperture Radar (SAR), Tectonics, volcanology and solid Earth geophysics Primary Supervisor: Susanna Ebmeier Institution: University of Leeds (School of Earth and Environment)
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
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)
On the identification of soil saturation excess from satellite data Theme(s): Floods, Machine Learning, Multispectral Primary Supervisor: Dr Encarni Medina-Lopez <Encarni.Medina-Lopez@ed.ac.uk> Institution: University of Edinburgh (School of Engineering)
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)
