Alice Penanhoat

I am a forest ecologist and postdoctoral researcher at the Division of Remote Sensing in Umeå, with a research focus on detecting biotic and abiotic stress in trees using remote sensing technologies. My work explores how structural and optical traits of tree crowns can reveal life history and signs of competition from neighbours, abiotic and biotic stresses, and inform forest health monitoring. I specialize in the use of LiDAR—ranging from airborne (ALS) and mobile (MLS) to terrestrial (TLS) systems—to capture detailed architectural and crown traits. This structural data is complemented by spectral information derived from multi- and hyperspectral imaging, allowing for a comprehensive assessment of tree condition and ecosystem dynamics. 

I am part of the Remote Sensing for Forest Health team (PI: Langning Huo). Currently, I work with in the RESDINET project to identify phenotypes of trees that would predispose them to attack by bark-beetles. I use ALS data and ground-based data. I also work with multispectral imagery to detect crown-defoliation of beech due to phytophtara attacks in the Life's beech project (PI: Michelle Cleary). 

• 2024 PhD, University of Göttingen, Göttingen (DE)
• 2020 Research engineer, INRAE, Paris (FR)
• 2019 Master in Ecology of Agricultural and Forest Ecosystems, University of Lorraine, Nancy (FR)
• 2018 Intern, CIRAD, Montpellier (FR)