Arnaud Le Bris

Arnaud Le Bris is a Researcher in remote sensing, land cover classification, and image processing at the French National Geographic Institute (IGN), assigned to the Laboratory of Geographic Information Science and Technology (LaSTIG) since 2005. He is a member of the STRUDEL research team and has established himself as a leading expert in high-resolution land cover classification, hyperspectral imaging, and data fusion methodologies.

His research focuses on:

• High resolution land cover classification from very high spatial resolution data
• Hyperspectral and super-spectral imaging techniques
• Data fusion for remote sensing applications
• Processing and analysis of historical aerial imagery
• Quality evaluation and change detection in geographic databases
• Automatic georeferencing of archival photogrammetric surveys

Dr. Le Bris has published extensively in top remote sensing journals and conferences, with recent work emphasizing CNN-based semantic segmentation for land cover classification, historical aerial image processing, and multi-source data fusion. His research often addresses complex urban and natural environments, with applications in environmental planning, urban development, and territorial evolution studies over time. His publications demonstrate a consistent focus on methodological innovation in spectral band selection, radiometric correction, and geometric processing of both contemporary and historical imagery.

Dr. Le Bris actively contributes to major research projects including HYEP (Hyperspectral imagery for Environmental urban Planning), URCLIM (Urban Climate Services), MAESTRIA, and HIATUS (Historical Aerial Images Time Series Analysis). These projects address critical challenges in urban planning, climate adaptation, and land use monitoring through advanced remote sensing techniques.

As an academic mentor, he has supervised numerous PhD students, post-doctoral researchers, and interns from various institutions including Université Paris Est, National School of Geographic Sciences, and international universities. His supervision spans topics from 3D city model evaluation to hyperspectral data fusion and historical image analysis.