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

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.
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]
DELENNE C., DURRIEU S., RABATEL F., DESHAYES M., BAILLY J.S., PRAT S. and COUTERON P., 2008. Textural approaches for vineyard detection and characterization using very high spatial resolution remote sensing data, International Journal of Remote Sensing, 29 (4) : 1153-1167. [Publisher link]