Sequential Bayesian inference for spatio-temporal probabilistic models of global Leaf Area Index change using Earth Observation data Theme(s): Artificial Intelligence, Ecosystem processes, dynamics and functioning, Forest, Machine Learning, Optical, Remote Sensing, Satellite Data, Vegetation Primary Supervisor: Victor Elvira Institution: University of Edinburgh (School of Mathematics)
FINDING THE MISSING DRY FORESTS: USING EARTH OBSERVATION DATA TO DETERMINE WHERE ARE THE DRY FORESTS OF AFRICA AND ASIA Theme(s): Applied ecology, ecosystem services and conservation, Artificial Intelligence, Climate, Forest, Geographic Information Systems, Machine Learning, Remote Sensing, Satellite Data, Vegetation Primary Supervisor: Kyle Dexter Institution: University of Edinburgh (School of GeoSciences)
Validation of satellite derived bathymetry data in dynamic seabed settings Theme(s): Artificial Intelligence, Remote Sensing, Satellite Data, Sedimentology, geomorphology and basin analysis Primary Supervisor: David Hodgson Institution: University of Leeds (School of Earth and Environment)
Hazard monitoring from Space: Next generation InSAR time series analysis Theme(s): Artificial Intelligence, Interferometry, Machine Learning, Remote Sensing, Satellite Data, Synthetic Aperture Radar (SAR), Tectonics, volcanology and solid Earth geophysics Primary Supervisor: Andy Hooper Institution: University of Leeds (School of Earth and Environment)
Blue carbon change on polar continental shelves with ocean colour & current dynamics Theme(s): Artificial Intelligence, Geographic Information Systems, Machine Learning Primary Supervisor: David K A Barnes Institution: British Antarctic Survey (Biodiversity, Adaptations and Evolution)
Using satellite data to understand the influence of marine biogenic activity on high latitude clouds and climate Theme(s): Aquatic/terrestrial/soil biogeochemistry, Artificial Intelligence, Atmospheric Physics, Climate, Machine Learning, Meteorology, Modelling, Multispectral, Ocean colour, Optical, Passive Microwave, Remote Sensing, Satellite Data, Sea Ice Primary Supervisor: Daniel Grosvenor Institution: University of Leeds (School of Earth and Environment and National Centre of Atmospheric Science)
