Vivien Sainte Fare Garnot

Vivien Sainte Fare Garnot received the Ph.D. degree in geospatial computer vision from Gustave Eiffel University, Champs-sur-Marne, France (IGN, French mapping agency), in January 2022. His thesis explored novel deep-learning architectures for crop type mapping from satellite image time series. Among other aspects, it focused on leveraging the temporal dimension of such data with attention mechanisms. The thesis also proposed a novel method to leverage the hierarchical structure of the crop type taxonomy and showed how to address crop type mapping as a panoptic segmentation task. He is currently a Post-Doctoral Researcher at the Institute for Computational Science, University of Zurich, Zürich, Switzerland, and also affiliated with the EcoVision Laboratory (since 2022). For his post-doctoral research, he is involved in the development of machine-learning methods for forest monitoring and other ecological applications. More broadly, he is interested in methods that leverage remote sensing data to improve our understanding of the Earth’s evolution.