Loïc Gerber

Research interests

The title of my PhD thesis is Deep-time synthetic data cubes to enable long-term hydrological modelling – Data hindcast for hydrological modelling of a large semiarid catchment. During my work I will use hydrological modelling to study the long-term effects of climate change on various hydrological processes. The study area is the Volta River Basin in West Africa. Remote sensed data is scarce before year 2000, especially in this region, I will thus work on generating synthetic satellite images from 1950 until 2000 derived from the available catalog to increase data availability. The derived products wil then be fed to a fully distributed hydrological model to assess their validity. This approach will allow for better informed hydrological models and in turn a better understanding of the hydrological processes and their evolution in the context of climate change.

Looking for inspiration (or something else?) in Loch Ness, Scotland (2022).

Key words: Hydro-climatic modelling, synthetic satellite imagery generation, spatial analysis, remote sensing

Educational and work background

  • 01.09.2022-today: PhD student at University of Lausanne
  • 2020-2022: Master of Science (MSc) in Environmental Science, Orientation Natural Hazards and Risk (UNIL)
    • Thesis: Évacuation des eaux urbaines lors de fortes précipitations – Méthodes d’estimation de la contribution effective du bassin versant imperméable. Directed by Grégoire Mariéthoz (Unil) and Frédéric Jordan (Hydrique Ingénieurs).
  • 2019-2020: Assistant Scientific Collaborator, Service des Forêts et de la Nature, section Nature et Paysage, Etat de Fribourg
  • 2016-2019: Bachelor of Science (BSc) in Geosciences and Environment, Orientation Geography, Specialisation in Physical Geography (UNIL)
    • Thesis: Caractérisation de l’évènement pluvieux du 11 juin 2018 à Lausanne et analyse de ses impacts. Directed by Bettina Schaefli (Unil).


  • SGM22: Loïc Gerber, Christophe Randin, Marianne Milano, Emmanuel Reynard, Grégoire Mariéthoz. NDVI Explorer – A Google Earth Engine application to visualise and extract NDVI time-series.


  • French: native speaker
  • English: fluent (C2, CPE 2015)
  • German: notions


Institute of Earth Surface Dynamics (IDYST)
UNIL-Mouline, Geopolis, Office 3247
University of Lausanne
1015 Lausanne, Switzerland