The courses are open and address a wide range of attendees, from service providers to  scientists and forecasters. Participants will have the opportunity to learn:

In the near future, new satellites such as Meteosat Third Generation (MTG) and Metop - Second Generation (Metop-SG) will provide advanced capabilities and valuable data for monitoring fires and their impacts. This short course showcases a series of case studies and associated workflows in Jupyter notebooks for fire applications using proxy data from MTG and Metop-SG. Join us to explore the case studies focusing on the August Complex fires in 2020, California USA and the Mediterranean fires in summer 2021!

This course is an introduction to Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) applied to Earth observation data. The aim of the course is to provide an overview of machine learning potential for EUMETSAT data and the main machine learning techniques, with hands-on modules using real world data. The course is composed of different modules, addressing both theory and practical examples.

The course will cover:

07-08 July 2022, UNU-MERIT, Maastricht, the Netherlands (hybrid event)

Floods are a common environmental hazard, causing loss of lives, economic losses, and livelihood impacts around the globe. At the same time, the recently published 6th Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) warns that such extreme events will further increase in both frequency and severity in the coming decades. Recent flood events (incl. those in Europe in 2021) have revealed significant gaps in