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: Nenes Athanasios, Berne Alexis, Gehring Josué Etienne
Language: english
Academic term: 2024-2025
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
Language: french
Academic term: 2024-2025
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.
Doctoral Program in Civil and Environmental Engineering
Teachers: Berne Alexis, Tuia Devis, Skaloud Jan
Language: english
Academic term: 2024-2025
This course is designed to develop the necessary transversal skills to foster sustainability integration in the present and future research of the PhD students
Doctoral School
Teachers: Grazioli Jacopo, Studer Melanie Roselyne, Mélo Michka Sylvain, Miani Juliane, Suris Miret Joan
Language: english
Academic term: 2024-2025