Teaching

Doctoral Course

Active Remote Sensing of the Atmosphere

EDCECourse details

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

  • Atmospheric processes: from cloud to global scales

    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


  • Global issues: climate A

    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: Grazioli Jacopo, Fragnière Augustin
    Language: french
    Academic term: 2023-2024


  • Remote sensing

    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


  • Sensing and spatial modeling for earth observation

    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