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)
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)
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)
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 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)
