Improved understanding of Arctic atmospheric composition and climate through exploitation of satellite observations Theme(s): Air Quality, Atmosphere and Climate, Earth Observation, Modelling, Satellite Data Primary Supervisor: Steve Arnold Institution: University of Leeds (School of Earth and Environment)
Satellite detection of volcanic eruption impacts on forests Theme(s): Forest, Optical, Satellite Data, Synthetic Aperture Radar (SAR), Tectonics, volcanology and solid Earth geophysics, Vegetation Primary Supervisor: Susanna Ebmeier Institution: University of Leeds (School of Earth and Environment)
Combining coastal satellite data and Bayesian modelling to understand the link between coastal and open ocean sea level Theme(s): Altimetry, Climate, Machine Learning, Oceanography Primary Supervisor: Francisco Mir Calafat Institution: National Oceanography Centre (Marine Physics and Ocean Circulation)
The response of savannas and dry forests to global change: disentangling the effects of climate change, land use and changing CO2 using radar remote sensing and fieldwork Theme(s): Applied ecology, ecosystem services and conservation, Ecosystem processes, dynamics and functioning, Synthetic Aperture Radar (SAR), Vegetation Primary Supervisor: Casey Ryan Institution: University of Edinburgh (School of GeoSciences)
Using satellite measurements to improve Indonesian peatland fire emissions of trace gases and particulates Theme(s): Air Quality, Climate, Forest, Hydrology, Modelling Primary Supervisor: Dominick Spracklen Institution: University of Leeds (School of Earth and Environment)
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)
Southwest Indian Ocean currents: using new EO data and models to study changes and implications for global climate Theme(s): Climate, Earth Observation, Ocean currents, Oceanography Primary Supervisor: Meric Srokosz Institution: National Oceanography Centre (Marine Physics and Ocean Climate)
Developing a new methodology for assessing future food production based on machine learning, remote sensing and crop models Theme(s): Agriculture, Crops, Machine Learning, Modelling, Satellite Data Primary Supervisor: Andy Challinor Institution: University of Leeds (School of Earth and Environment)
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)
