Spatial statistics and analysis

The main objective is to make the students understand the importance of the spatial issues in environmental sciences and engineering, for example for mapping and interpolation. Presentation of different concepts and techniques devoted to spatial data.

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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.

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Active Remote Sensing of the Atmosphere

Provide the students 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).

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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.

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Introduction au projet Russie I

(Coursebook not yet approved by the section)

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Introduction au projet Russie II + Projet Russie I

(Coursebook not yet approved by the section)

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Projet pratique obligatoire Russie III

(Coursebook not yet approved by the section)

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