Dear applicant, 

    Please note that in order to apply for most of the courses listed below (but not all) you must be registered and logged in on this platform. Go to Log in (top right side of the screen) to log in or create an account. 

    From the list below, select the course you are interested in, fill in the application form and submit it. You will be contacted as soon as the selection of candidates is completed.

    To apply for the courses in the Short Courses on Data Discovery for Weather, Oceanography, Air Quality and Climate, please click here

    • EUMETSAT Supporting Marine Earth Observation Applications (SMA) 2022

      Online Training 31 October – 25 November 2022

      EUMETSAT and the Oceanography & Earth Observation Group of the National and Kapodistrian University of Athens are jointly organizing the training course “Supporting Marine Earth Observation Applications (SMA)”. In this course participants will learn how to independently access and process data from the EUMETSAT product catalogue for their marine workflows and applications. The focus will be on data streams from EUMETSAT Copernicus marine missions (Sentinel-3; Sentinel-6) and derived downstream products, those derived from Copernicus supporting missions, and those made available by the Ocean and Sea-Ice Satellite Application Facility (OSI SAF).

      Training will take place entirely online and through two phases.

      1.     The first, self-paced phase will take place between 31 October and 18 November 2022 and will take approximately 9-15 hours in total to complete. It will involve self-paced flexible learning through webinars, forums and technical checks (particularly for software installations), documentation and assignments.

      2.     The second, virtual classroom phase will be take place between 21 and 25 November 2022 using Zoom and other collaborative tools. This phase will be made up of interactive tutorials, live demos, group work, and 1:1 meetings. During this intensive week, which will require 5-7 hours of participation each day, we will focus on co-creating a mini-project directly relevant to the participant's application of interest.

      To apply, please complete the form below.

    Introduction to Machine Learning for Earth Observation - A practical approach 2022