High-dimensional probabilistic dynamic models for global vegetation change and weather forecasting Theme(s): Advanced Computing, Atmosphere and Climate, Data Assimilation, Modelling Primary Supervisor: Dr Victor Elvira Institution: University of Edinburgh (School of Mathematics)
L-Band TomoSAR Deep Imaging: From Glacier Internal Structure Mapping to Anomaly Detection Theme(s): Climate, Cryosphere, Machine Learning, Modelling Primary Supervisor: Dr Mehrdad Yaghoobi <M.Yaghoobi-Vaighan@ed.ac.uk> Institution: University of Edinburgh
Earth Observation and deep learning: towards biodiversity enhancing, low carbon farming and land-use systems Theme(s): Artificial Intelligence, Crops, Vegetation Primary Supervisor: Dr Nabi Omidvar <M.N.Omidvar@leeds.ac.uk> Institution: University of Leeds (School of Computing)
Combining AI and remote sensing to understand how climate change will affect the second largest rainforest on Earth Theme(s): Artificial Intelligence, Climate, Ecosystem processes, dynamics and functioning, Forest Primary Supervisor: Dr David Williams <d.r.williams@leeds.ac.uk> Institution: University of Leeds (School of Earth and Environment)
Measuring the climate-smart practices using crop modelling, machine learning and remote sensing Theme(s): Artificial Intelligence, Climate, Crops, Earth Observation Primary Supervisor: Professor Andy Challinor Institution: University of Leeds (School of Earth and Environment)
Explainable Population Estimation Using Deep Learning from Satellite Imagery Theme(s): Machine Learning, Remote Sensing Primary Supervisor: Dr Sohan Seth <sseth@ed.ac.uk> Institution: University of Edinburgh (School of Informatics)
Discovering the dynamics of cloud development through the embedding space of a self-supervised neural network Theme(s): Artificial Intelligence, Atmosphere and Climate, Earth Observation Primary Supervisor: Dr Leif Denby <l.c.denby@leeds.ac.uk> Institution: University of Leeds (School of Earth and Environment)
Greenland Ice Sheet – Ocean Interactions: Using satellite data and AI to understand ice dynamic change Theme(s): Artificial Intelligence, Climate, Cryosphere, Earth Observation, Glaciology, RADAR, Sea Ice Primary Supervisor: Dr Anna Hogg <A.E.Hogg@leeds.ac.uk> Institution: University of Leeds (School of Earth and Environment)
Deriving pressure fields in Antarctic sea ice from satellite observations Theme(s): Artificial Intelligence, Earth Observation, Machine Learning, RADAR, Sea Ice Primary Supervisor: Dr Martin Rogers <marrog@bas.ac.uk> Institution: British Antarctic Survey
A new, automated, high-resolution global wetland change map Theme(s): Artificial Intelligence, Climate, Earth Observation, ecosysetms, water Primary Supervisor: Prof Joseph Holden <J.Holden@leeds.ac.uk> Institution: University of Leeds (School of Geography)
