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
Greenness versus greyness: greenspaces in and around cities for hazard mitigation and resilience Theme(s): Earth Observation, Infrastructure, Land Use Change, Machine Learning, Multispectral, Optical, Synthetic Aperture Radar (SAR), Tectonics, volcanology and solid Earth geophysics, Vegetation Primary Supervisor: Dr. John Elliott <j.elliott@leeds.ac.uk> Institution: University of Leeds (School of Earth & Environment)
Ice formation in clouds and the implications for climate Theme(s): Aerosols, Atmospheric Composition, Climate, Climate Change, Machine Learning, Modelling, Remote Sensing, Satellite Data Primary Supervisor: Ken Carslaw <K.S.Carslaw@leeds.ac.uk> Institution: University of Leeds (Institute for Climate and Atmospheric Science)
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)
Nowcasting weather with coupled fluid dynamics and machine learning Theme(s): Atmospheric Physics, Machine Learning, Meteorology, Neural Networks, Remote Sensing, Satellite Data Primary Supervisor: Dr Leif Denby <l.c.denby@leeds.ac.uk> Institution: University of Leeds (School of Earth and Environment)
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)
Counting Elephants from Space: Combining Earth Observation and Statistical Ecology for Elephant Conservation Theme(s): Applied ecology, ecosystem services and conservation, Artificial Intelligence, Earth Observation, Living World, Machine Learning, Modelling, Satellite Data Primary Supervisor: Professor Ruth King <Ruth.King@ed.ac.uk> Institution: University of Edinburgh (School of Mathematics)
Improving the representation of the stratosphere in meteorological reanalyses Theme(s): Advanced Computing, Air Quality, Atmosphere and Climate, Atmospheric Physics, Earth Observation, Machine Learning, Meteorology, Modelling, Remote Sensing, Satellite Data Primary Supervisor: Martyn Chipperfield <M.Chipperfield@leeds.ac.uk> Institution: University of Leeds (School of Earth and Environment)
