Research interests: “mutli-source inventory, forest dynamics, 3D remote Sensing, machine Learning” Bio: “My research focuses on multi-source forest inventories for mapping and estimation. I specialize in 3D remote sensing to analyze the role of forest structure in forest dynamics.”
Research interests: “climate change, forest dynamics, resilience, adaptation” Bio: “Researcher, focussing on the impact of climate change on forest ecosystems, with emphasize on with the central hypothesis that there is not one response to climate change but numerous interactions with stand-level factors. To achieve this, I am relying on National Forest Inventory data and statistical models to reveal relationships and propose new indicators.”
Research interests: “sampling, small area estimation, inference” Bio: “As a statistician and researcher in sampling and estimation methods, my primary focus is on design-based inference in the context of forest inventories. My research aims to enhance the accuracy and precision of forest attribute estimates by combining remote sensing data with randomized field plots. I develop efficient, data-driven modeling approaches to improve forest monitoring and resource assessment.”
Research interests: “remote sensing, data fusion, spatial modeling, uncertainty assessment” Bio: “I am a researcher specializing in environmental remote sensing and spatial modeling. My work focuses on the fusion of multi‑sensor satellite and airborne data, the statistical and AI‑based modeling of relationships between spatial information and environmental variables, and the quantification of uncertainties in spatial predictions. I am also interested in the long‑term spatio‑temporal monitoring of forests to better understand their role in carbon sequestration, climate adaptation, and the provision of ecosystem services.”
Research interests: “forest monitoring, forest transitions, biometry” Bio: “ENFIN association coordinator, former director of the laboratory. My research focus on long term monitoring of forest ecosystems”
Research interests: “multi-source inventory, biometry, forest management, statiscal modeling” Bio: “I specialize in multisource forest inventory and advanced statistical methods (model-assisted and model-based inference). My research focuses on leveraging cost-effective auxiliary data to improve the accuracy of forest stock and productivity estimates—innovations designed to support sustainable forest management and decision-making.”“
Research interests: “forest inventory, biodiversity, forest dynamics, digital twin” Bio: “With a background in ecology, my research aims at developing methodological frameworks to quantify forest structure and dynamics that integrate high-resolution optical imagery, LiDAR and photogrammetry.”
Research interests: “forest policy, forest sector governance, private forestry, illegal logging” Bio: “With a background in forestry and legal sciences, I conduct research on forest sector governance, private forestry, illegal logging, and corruption in Eastern Europe, as well as on the analysis of forest sector adaptation to climate change.”
Research interests: “sampling and estimation, silmulation, digital twin” Bio: “My research focuses on optimizing sampling and estimation designs for national forest inventories, using simulation and digital twins.”
Research interests: “GEDI, artificial intelligence, signal processing, data fusion, spatial modeling” Bio: “I am a PhD student affiliated with LIF and LSCE, focusing on remote sensing of forest biophysical variables. My work aims to improve large-scale mapping and uncertainty quantification.” Supervisor: Nikola Besic
Research interests: “forest biometry, recruitement, forest modeling, climate change” Bio: “My research focuses on understanding patterns of forest regeneration in France, with an emphasis on the mitigating effects of forest composition.” Supervisor: Lionel Hertzog
Research interests: “multi-source inventory, times-series analysis, forest growth, artificial intelligence” Bio: “My research topic involves time series modelling of remote sensing products to improve National Forest Inventory attributes estimation. My main background is forestry engineering centered on Forest inventory planning, statistical analysis and Cartographic production. Currently, I am focused on developing Deep learning approaches to my research topic” Supervisor: Cédric Vega
Research interests: “lidar, harmonisation, artificial intelligence, data science” Bio: “My PhD research aims to leverage high-definition LiDAR to develop large-scale information systems for characterizing 3D forest structure and associated forest attributes.” Supervisor: Cédric Vega
Graduated PhDs
Trinh Duong (2025) “Dynamic sampling and inference for a smart forest monitoring with applications to the French National Forest Inventory (https://theses.fr/2025LORR0060). PhD supervision: Olivier Bouriaud, Guillaume Chauvet.”
Anouk Schleich (2024) ” Contribution of spaceborne lidar to the development of multisource forest inventory methods adapted to sustainable forest management in a context of global change (https://theses.fr/2024AGPT0002). PhD supervision : Sylvie Durrieu, Cédric Vega.”
Ankit Sagar (2023) “Multisource Forest Inventory: a Generic and Flexible Tool for Forest Resource Estimation and Mapping at a Fine Scale (https://theses.fr/2023LORR0302). PhD supervision : Cédric Vega, Jean-Pierre Renaud.”
Timothée Audinot (2021) “Developing a large-scale forest dynamic model to simulate French forests in a non-stationary context (https://theses.fr/2021LORR0179). PhD supervision : Jean-Daniel Bontemps, Holger Wernsdörfer.”
Baptiste Kerfrieden (2021) “Environmental and botanical variability of wood density of forest species and temporal variability of the aboveground biomass of French forests : an analysis on a systematic sample of the national forest inventory (https://theses.fr/2021AGPT0006). PhD supervision : Jean-Michel Leban, Jean-Daniel Bontemps.”
Anaïs Denardou-Tisserand (2019) “Changes in the French forest growing stock : Description, analysis and simulation over a pluri-decennial (1975 - 2015) to centennial time period based on national forest inventory data and ancient statistics (https://theses.fr/2019LORR0009). PhD supervision: Jean-Luc Dupouey, Jean-Daniel Bontemps.”
Jules Morel (2017) “Surface reconstruction based on forest terrestrial LiDAR data (https://theses.fr/2017AIXM0039). PhD supervision : Marc Daniel, Alexandra Bac-Bruasse, Cédric Vega.”
