Exploiting fullwaveform lidar signals to estimate timber volume and above-ground biomass of individual trees. - Tristan Allouis; Sylvie Durrieu; Cédric Véga; Pierre Couteron (IGARSS, 2011)

Multi-level filtering segmentation to measure individual tree parameters based on Lidar data: Application to a mountainous forest with heterogeneous stands. - Cédric Véga; Sylvie Durrieu (Int. J. Appl. Earth Obs. Geoinformation, 2011)

A sequential iterative dual-filter for Lidar terrain modeling optimized for complex forested environments. - Cédric Véga; Sylvie Durrieu; Jules Morel; Tristan Allouis (Comput. Geosci., 2012)

Stem Volume and Above-Ground Biomass Estimation of Individual Pine Trees From LiDAR Data: Contribution of Full-Waveform Signals. - Tristan Allouis; Sylvie Durrieu; Cédric Véga; Pierre Couteron (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

PTrees: A point-based approach to forest tree extraction from lidar data. - Cédric Véga; Ahmed Hamrouni; S. El Mokhtari; Jules Morel; Jerome Bock; Jean-Pierre Renaud; Marc Bouvier; Sylvie Durrieu (Int. J. Appl. Earth Obs. Geoinformation, 2014)

Aboveground-Biomass Estimation of a Complex Tropical Forest in India Using Lidar. - Cédric Véga; Udayalakshmi Vepakomma; Jules Morel; Jean-Luc Bader; Gopalakrishnan Rajashekar; Chandra Shekhar Jha; Jérôme Feret; Christophe Proisy; Raphaël Pélissier; Vinay Kumar Dadhwal (Remote. Sens., 2015)

Terrain Model Reconstruction from Terrestrial LiDAR Data Using Radial Basis Functions. - Jules Morel; Alexandra Bac; Cédric Véga (IEEE Computer Graphics and Applications, 2017)

Surface reconstruction of incomplete datasets: A novel Poisson surface approach based on CSRBF. - Jules Morel; Alexandra Bac; Cédric Véga (Comput. Graph., 2018)

Increasing Precision for French Forest Inventory Estimates using the k-NN Technique with Optical and Photogrammetric Data and Model-Assisted Estimators. - Dinesh Babu Irulappa-Pillai-Vijayakumar; Jean-Pierre Renaud; François Morneau; Ronald E. McRoberts; Cédric Véga (Remote. Sens., 2019)

A new small area estimation algorithm to balance between statistical precision and scale. - Cédric Véga; Jean-Pierre Renaud; Ankit Sagar; Olivier Bouriaud (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Characterizing the calibration domain of remote sensing models using convex hulls. - Jean-Pierre Renaud; Ankit Sagar; Pierre Barbillon; Olivier Bouriaud; Christine Deleuze; Cédric Véga (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Modelling forest volume with small area estimation of forest inventory using GEDI footprints as auxiliary information. - Shaohui Zhang; Cédric Véga; Christine Deleuze; Sylvie Durrieu; Pierre Barbillon; Olivier Bouriaud; Jean-Pierre Renaud (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Improving GEDI Footprint Geolocation Using a High-Resolution Digital Elevation Model. - Anouk Schleich; Sylvie Durrieu; Maxime Soma; Cédric Véga (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and GEDI data with a deep learning approach. - Martin Schwartz; Philippe Ciais; Aurélien de Truchis; Chave J.; Catherine Ottlé; Cédric Véga; Jean-Pierre Wigneron; M. Nicolas; Sami Jouaber; S. Liu; Martin Brandt; Ibrahim Fayad (Zenodo, 2023)

High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach. - Martin Schwartz; Philippe Ciais; Catherine Ottlé; Aurélien de Truchis; Cédric Véga; Ibrahim Fayad; Martin Brandt; Rasmus Fensholt; Nicolas N. Baghdadi; François Morneau; David Morin; Dominique Guyon; et al. (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Using Structural Class Pairing to Address the Spatial Mismatch Between GEDI Measurements and NFI Plots. - Nikola Besic; Sylvie Durrieu; Anouk Schleich; Cédric Véga (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)