Léa Enguehard

M.Sc. Léa Enguehard is a Researcher at the Alfred Wegener Institute’s Polar Terrestrial Environmental Systems department. Her work focuses on boreal forests, high-latitude vegetation dynamics, optical remote sensing, and machine learning applications in environmental science. She holds a Master’s degree in environmental or geospatial sciences.

Enguehard’s research integrates advanced remote sensing techniques like LiDAR and Sentinel-2 imagery to study boreal ecosystems across Siberia, Alaska, and NW Canada. She has led field expeditions in these regions to validate remote sensing data with ground-truthing methods. Her projects often emphasize machine learning for ecological modeling, such as automated classification of forest types and analysis of terrestrial-aquatic interfaces (e.g., Lake Erie studies).

Publications highlight her contributions to understanding boreal forest succession, permafrost ecosystem dynamics, and albedo measurements in Arctic environments. Enguehard’s data products, including labeled shapefiles and training datasets, are publicly accessible via PANGAEA and institutional repositories.

Her work bridges cutting-edge technology with ecological questions, contributing to climate change research and environmental monitoring strategies in polar and boreal regions.