Join us on Thu 25th and Fri 26th of February for a mini-hackathon challenge, organised by the Alan Turing Institute and the SENSE Earth Observation CDT. The goal of this challenge is to automatically identify sea, ice and land in satellite images of Danmarkshavn on the east coast of Greenland. Using Sentinel-1 images you will work in a small team with SENSE PhD students to build and train a model to classify sea, ice and land in a dataset spanning a year, using data prepared for the ExtremeEarth project.
There are a limited number of places for Turing PhD students. Some familiarity with python or a similar language and knowledge of machine learning is required. Apply to join here, deadline Fri 12th February: https://forms.gle/fkjXG5E3DtduQDu69
