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
Mapping snow under and within trees with satellite lidar for improved weather, climate and hydrological modelling Theme(s): Forest, Remote Sensing, Satellite Data Primary Supervisor: Steven Hancock Institution: University of Edinburgh (School of GeoSciences)
Machine learning for remote sensing and modelling of mountain snow patches Theme(s): Climate, Cryosphere, Machine Learning, Meteorology, Modelling, Multispectral, Neural Networks, Remote Sensing Primary Supervisor: Richard Essery <richard.essery@ed.ac.uk> Institution: University of Edinburgh (School of GeoSciences)
Using New Earth Observation and Computational Approaches to Map Dry Forests and Their Carbon Dynamics Across the Tropics Theme(s): Applied ecology, ecosystem services and conservation, Artificial Intelligence, Climate Change, Ecosystem processes, dynamics and functioning, Land Use Change, Machine Learning, Remote Sensing, Satellite Data, Vegetation Primary Supervisor: Kyle Dexter <Kyle.Dexter@ed.ac.uk> Institution: University of Edinburgh (School of GeoSciences)
Impact of oceanic mesoscale eddies on the productivity of the western Bay of Bengal: contribution of new EO observations and machine learning Theme(s): Earth Observation, Machine Learning, Ocean colour, Ocean currents, Oceanography, Satellite Data Primary Supervisor: Fatma Jebri (NOC)
Quantifying carbon content in European agricultural land Theme(s): Agriculture, Climate, Crops, Machine Learning, Modelling, Optical Primary Supervisor: Guy Ziv Institution: University of Leeds (School of Geography)
Dust storms in the Sahara and Sahel: From Nowcasting to Climate 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)
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)
