Cédric  Vega
Head of the Laboratory

Select Publications

Book chapters

DURRIEU S., VEGA C. and [et al.], 2015. Optical remote sensing of tree and stand heights, In: Prasad S.T. (ed), Remote Sensing Handbook, Vol II, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing., Chapter 17:, Taylor & Francis, Boca Raton, Fla, p. 449-485, ISBN: 978-1-4822-1795-7. [Publisher link]

Peer-reviewed journal articles

MOREL J., BAC A. and VEGA C., 2018. Surface reconstruction of incomplete datasets: a novel Poisson surface approach based on CSRBF, Computers & Graphics, 74 : 44-55, https://doi.org/10.1016/j.cag.2018.05.004. [Publisher link]
MOREL J., BAC A. and VEGA C., 2017. Terrain Model Reconstruction from Terrestrial LiDAR Data Using Radial Basis Functions, IEEE Computer Graphics and Applications, 37 (5) : 72-84, DOI : 10.1109/MCG.2017.3621225 . [Publisher link]
HAMROUNI A., VEGA C., RENAUD J.P., DURRIEU S. and BOUVIER M., 2015. A tree-based approach to estimate wood volume from Lidar data : a case study in a pine plantation, Revue française de Photogrammetrie et de Télédétection, 211-212 : 63-70.
VEGA C., VEPAKOMMA U., MOREL J., BADER J.-L., RAJASHEKAR G., JHA C.S., FERET J., PROISY C., PÉLISSIER R. and DADHWAL V.K., 2015. Aboveground-Biomass Estimation of a Complex Tropical Forest in India Using Lidar, Remote Sensing, 7 : 10607-10625, DOI: 10.3390/rs70810607. [Publisher link]
VEGA C., HAMROUNI A., EL MOKHTARI S., MOREL J. and BOCK J., 2014. PTrees: A point-based approach to forest tree extraction from lidar data, International Journal of Applied Earth Observations and Geoinformation, 33 : 98-108. [Publisher link]
ALLOUIS T., DURRIEU S., VEGA C. and COUTERON P., 2013. Stem Volume and above-ground biomass estimation of individual pine trees from LiDAR data: Contribution of full-waveform signals, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6 (2) : 924-934, DOI: 10.1109/JSTARS.2012.2211863. [Publisher link]
VEGA C., DURRIEU S., MOREL J. and ALLOUIS T., 2012. A sequential iterative dual-filter for Lidar terrain modeling optimized for complex forested environments, Computers & Geosciences, 44 : 31-41, DOI: 10.1016/j.cageo.2012.03.021. [Publisher link]
VEGA C. and DURRIEU S., 2011. Multi-level filtering segmentation to measure individual tree parameters based on Lidar data: application to a mountainous forest with heterogeneous stands, International Journal of Applied Earth Observations and Geoinformation, 13 (4) : 646-656. [Publisher link]

Conference papers (published)

MOREL J., BAC A. and VEGA C., 2015. Computation of tree volume from terrestrial LiDAR data, In: Durrieu s., Vega C. (ed), Proceedings of SilviLaser 2015 - 14th Conference on Lidar Applications for Assessing and Managing Forest Ecosystems, September 28-30, 2015, Organized by The French Society of Photogrammetry and Remote Sensing (SFPT), IRSTEA, IGN, La Grande Motte, France, p. 308-310. [Publisher link]