Research interests: sustainable forest management, forest carbon stocks, forest inventory, climate change mitigation, international forestry policy Bio: My research focuses on sustainable forest management and carbon stock assessment for climate change. I specialize in forest inventory and international policy, with experience in Africa
Cédric Vega
Senior researcher & head of CCIF Géodata Paris IGN
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
