PhD Student in School of Engineering
High-resolution multispectral estimation of sea surface salinity and temperature in coastal areas
I am a PhD student at the University of Edinburgh, supervised by Encarni Medina-Lopez, Tiago Silva (CEFAS), Laurent Amoudry (NOC) and Adrien Martin (NOC).
I’m also part of the SENSE Earth Observation CDT, which aims to train PhD students to use satellite data to work on a wide range of environmental problems and is funded in part by NERC and UKSA. My CASE partner is CEFAS .
Remote sensing is often used to estimate sea surface salinity and temperature (e.g Minnett et al.,2019). However classical sensing approaches suffer from poor resolution and land adjacency effects. Coastal marine zones are areas of high natural importance due to their support of diverse ecosystems and contribution to land-sea interactions. The complexity of processes in these regions from evaporation, vertical mixing, upwelling etc. requires high resolution differentiation of different temperate and saline zones (Chami et al.,2016).
For this project I will:
- Evaluate and collate in-situ and remote sensing data to identify suitable case studies and sufficient data variability, with a variety of different water types.
- Use and develop ML techniques to determine relationships between satellite spectral band data and the in-situ temperature and salinity values.
- Explore water classification algorithms and the effect distinct water classes (e.g estuarine, river plume, coral reef etc.) have on the accuracy estimation of temperature and salinity.
- MEng General Engineering, University of Oxford 2016-2020