Biography
I am a PGR based in the School of Earth and Environment at the University of Leeds, working with Dr Anna Hogg to investigate glacial ice speed changes in Antarctica and Greenland using satellite imagery and machine learning. I previously completed my Integrated Masters in Geophysics at University College London.
Qualifications
2015 – 2019: MSci Geophysics, University College London
Research Interests
- Earth Observation Remote Sensing
- The Cryosphere
- Machine Learning & Artificial Intelligence
- Physical Oceanography
- Climate Change
- Fluid Dynamics
Teaching Interests
- Geophysical Field Methods
- Remote Sensing of the Cryosphere
Project Title
Ice speed & Artificial Intelligence (AI): Using satellite data and advanced computer techniques to detect ice sheet change
Supervisors
Dr Anna E. Hogg, Dr He Wang, Dr Isabel Nias
Funding
Panorama NERC DTP, 2021
Project outline
Global sea level rise and associated flood and coastal change poses the greatest climate change risk to the UK and other coastal communities. Over the past century, global sea levels have risen by an average of 0.7 ± 0.3 mm per year, although this figure has risen to 3.2 ± 0.4 mm per year during the last 30 years, and models predict that this acceleration is only set to continue. Current knowledge about the timing and volume of future sea level rise due to the Antarctica and Greenland ice sheets is largely uncertain.
In my research I use Earth Observation satellite images, such as synthetic aperture radar (SAR) images from Sentinel-1, to study glacial ice velocity in Antarctica and Greenland. Combining these observations with numerical ice flow modelling and machine learning techniques, I aim to improve understanding and prediction of how climate change affects the Earth’s ice sheets and their contributions to global sea level rise. I am particularly interested in how machine learning can reduce uncertainties in our predictions.