This year, the 54th International Liège Colloquium on Ocean Dynamics will focus on machine learning and data analysis in oceanography. As part of this event, EUMETSAT and the Colloquium organisers are convening two training sessions on machine learning approaches for the analysis of marine Earth observation data. These sessions, each one hour in length and available only to onsite attendees, will begin by introducing the EUMETSAT product catalogue and, through a series of Python based Jupyter Notebooks, culminate in interactive demonstrations of machine learning and statistical approaches to ocean colour retrievals, pan-sensor data synthesis, and addressing missing data in sea surface temperature fields.
We will focus entirely on open source tools and participant will be free to engage with our resources beyond the constraints of the course. EUMETSAT marine product experts and machine learning application developers will be on hand to answer your questions and provide guidance on next steps you can take to advance your engagement with marine remote sensing if this is a new field to you.
The training sessions will occur between 08:00 and 09:00 on Tuesday 9 May and 17:00 to 18:00 on Thursday 11 May.