Learn to use AI and ML to improve the use of big data in Earth Monitoring.
This is a fast-changing and critical time for Earth Observation (EO), especially for those involved in its use for climate and meteorology.
On this course, you’ll get a comprehensive overview of the Copernicus Programme and the wealth of EO data it provides, as well as how AI and ML are transforming the interpretation of EO data.
Understand key AI and ML concepts
You’ll learn about the Copernicus data and services and the massive amounts of Earth observation data that are collected every day from space, covering the oceans, land, atmosphere and, over longer periods, the climate.
You’ll then learn basic AI and ML concepts and types, exploring how they have transformed many aspects of the EO ‘value chain’.
This includes automatic feature extraction, new ways of processing very large data sets, and the development of new products and services.
Learn Python to fully access the WEkEO platform
The WEkEO platform is a ‘one-stop shop’ for Copernicus and Sentinel satellite data and services.
You’ll learn how to access Earth Observation data through it, using the Python programming language and Jupyter Notebooks to process and analyse EO data with AI.
Explore EO data with international experts
This course is funded by the Copernicus Programme and has been put together by EUMETSAT, ECMWF, Mercator Ocean International and the EEA.
Their experts in AI, EO, and Earth system monitoring will take you through four themed weeks – land, ocean, atmosphere, and climate – leaving you well-versed in the intricacies of EO and satellite data, as well as how AI and ML can unlock its full potential.
This course would benefit scientists, policy/decision makers, journalists, educators, business owners, and students. It would also appeal to a curious, general interest audience, or professionals who possess some experience in the subject.
For the hands-on Jupyter Notebook tutorials, you will need to create an account on WEkEO. We recommend you use a computer to access this.