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)

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)