Doctoral Course
Active Remote Sensing of the Atmosphere
Teachers: Alexis Berne and Valentin Simeonov
This course provides the basics to understand and analyze remotely sensed measurements from active systems like lidar (in particular temperature, humidity, aerosols) and radar (weather and cloud radar, wind profiler).
Courses during the year
The main objective is to present important atmospheric processes from the local to global scales. The course will start with cloud processes, continue to synoptic phenomena like extratropical cyclones and fronts, to finally cover numerical modeling at the regional and global scales.
Section of Environmental Sciences and Engineering
Teachers: Gehring Josué Etienne, Nenes Athanasios, Berne Alexis
Language: english
Academic term: 2023-2024
This course presents the global issue of climate change: climate system and prediction; impacts on ecosystems and biodiversity; historic frame and public debate; climate targets and policies. The interdisciplinary approach introduces students to working in teams and to scientific methodologies.
Humanities and Social Sciences Program
Teachers: Fragnière Augustin, Grazioli Jacopo
Language: french
Academic term: 2023-2024
This course aims at exposing the students to the main concepts, instruments and techniques of environmental remote sensing. The interactions between waves and matter, different types of sensors and image-processing techniques are presented.
Section of Environmental Sciences and Engineering
Teachers: Berne Alexis, Tuia Devis
Language: french
Academic term: 2023-2024
Students get acquainted with the process of mapping from images (orthophoto and DEM), as well as with methods for monitoring the Earth surface using remotely sensed data. Methods will span from machine learning to geostatistics and model the spatiotemporal variability of processes.
MINEUR
Teachers: Tuia Devis, Skaloud Jan, Berne Alexis
Language: english
Academic term: 2023-2024