This is a course conceived as a joint module with Master students from IDEA-S4S network (UniBo, KIT). The course is also open to students from the universities involved in TEAMx (UIBK, Uni Trento). It is planned during the summer semester of 2025 in hybrid mode (lectures in person in Cologne streamed via Zoom) and should give the possibility of earning 6 ECTS credit points as an elective module (only relevant for Master's students in Germany).

This course is a shorter version of the course given in Bologna in 2023. Unfortunately this year due to unfortunate coincidences,  I could not do all the teaching hours expected. I hope you can still enjoy the contents :) 

The lectures provide some basics on satellite remote sensing and give some tools to learn how to visualize data. It also introduces machine learning methods to analyze images and learn structures in the images.

Description. We will talk about the potential of computer vision AI for advancing in the atmospheric field, starting from convolutional neural networks to more complex deep learning methods, introducing recent works with application to clouds and precipitation.