Creating a semantic segmentation machine learning model for sea ice detection on radar images to study the Thwaites region

• Main Author: Fuentes Soria, Carmen
• Other Authors: Strong, Shay, Sähkötekniikan korkeakoulu, Praks, Jaan, Aalto-yliopisto, Aalto University
• Format: Master Thesis
• Language: English
• Published: 2022
• Subjects: synthetic aperture radar (SAR); machine learning (ML); semantic segmentation; convolutional neural networks (CNN); thwaites glacier; Thwaites Glacier; Antarc*; Antarctica; Sea ice
• Online Access: https://aaltodoc.aalto.fi/handle/123456789/117392

This thesis presents a deep learning tool able to identify ice in radar images from the sea-ice environment of the Thwaites glacier outlet. The project is motivated by the threatening situation of the Thwaites glacier that has been increasing its mass loss rate during the last decade. This is of con...