J. B. Drake, K. Robert, G. , D. Ralph, O. et al., Above-ground biomass estimation in closed canopy Neotropical forests using lidar remote sensing: factors affecting the generality of relationships, Global Ecology and Biogeography, vol.6, issue.2, pp.147-159, 2003.
DOI : 10.1080/014311600210939

J. Chave, C. Andalo, S. Brown, M. A. Cairns, J. Q. Chambers et al., Tree allometry and improved estimation of carbon stocks and balance in tropical forests, Oecologia, vol.24, issue.D16, pp.87-99, 2005.
DOI : 10.1007/s00442-005-0100-x

G. P. Asner and J. Mascaro, Mapping tropical forest carbon: Calibrating plot estimates to a simple LiDAR metric, Remote Sensing of Environment, vol.140, pp.614-624, 2014.
DOI : 10.1016/j.rse.2013.09.023

T. R. Feldpaush, J. Lloyd, S. L. Lewis, R. J. Brienen, and M. Gloor, Tree height integrated into pantropical forest biomass estimates, Biogeosciences, vol.9, issue.8, pp.3381-3403, 2012.
DOI : 10.5194/bg-9-3381-2012-supplement

E. T. Mitchard, S. S. Saatchi, L. J. White, K. A. Abernethy, K. J. Jeffery et al., Mapping tropical forest biomass with radar and spaceborne LiDAR in Lop?? National Park, Gabon: overcoming problems of high biomass and persistent cloud, Biogeosciences, vol.9, issue.1, pp.179-191, 2012.
DOI : 10.5194/bg-9-179-2012

O. Maria and D. O. Raimundo, Estimates of forest canopy height and aboveground biomass using ICESat, Geophysical Research Letters, vol.32, pp.22-24, 2005.

J. Boudreau, N. Ross, F. , M. Hank, A. et al., Regional aboveground forest biomass using airborne and spaceborne LiDAR in Qu??bec, Remote Sensing of Environment, vol.112, issue.10, pp.3876-3890, 2008.
DOI : 10.1016/j.rse.2008.06.003

S. S. Saatchi, H. Nancy, L. Sandra, L. Michael, M. Edward et al., Benchmark map of forest carbon stocks in tropical regions across three continents, Proceedings of the National Academy of Sciences, vol.108, issue.24, pp.9899-9904, 2011.
DOI : 10.1073/pnas.1019576108

M. Simard, P. Naiara, F. J. , and B. Alessandro, Mapping forest canopy height globally with spaceborne lidar, Journal of Geophysical Research, vol.34, issue.53, p.4021, 2011.
DOI : 10.1029/2011JG001708

N. Baghdadi, G. Le-maire, I. Fayad, J. S. Bailly, Y. Nouvellon et al., Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, issue.1, pp.290-299, 2014.
DOI : 10.1109/JSTARS.2013.2261978
URL : https://hal.archives-ouvertes.fr/hal-00908852

E. Naesset, Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data, Remote Sensing of Environment, vol.80, issue.1, pp.88-99, 2002.
DOI : 10.1016/S0034-4257(01)00290-5

S. Lee, W. Ni-meister, W. Yang, and Q. Chen, Physically based vertical vegetation structure retrieval from ICESat data: Validation using LVIS in White Mountain National Forest, New Hampshire, USA, Remote Sensing of Environment, vol.115, issue.11, pp.2776-2785, 2011.
DOI : 10.1016/j.rse.2010.08.026

C. Hilbert and C. Schmullius, Influence of Surface Topography on ICESat/GLAS Forest Height Estimation and Waveform Shape, Remote Sensing, vol.4, issue.12, pp.2210-2235, 2012.
DOI : 10.3390/rs4082210

Y. Pang, L. Michael, A. Hans-erik, M. M. Ellen, and S. Kirk, Validation of the ICEsat vegetation product using crown-area-weighted mean height derived using crown delineation with discrete return lidar data, Canadian Journal of Remote Sensing, vol.34, issue.3, pp.471-484, 2008.
DOI : 10.5589/m08-074

A. Hudak, M. Lefsky, W. B. Cohen, and M. Berterretche, Integration of lidar and Landsat ETM+ data for estimating and mapping forest canopy height, Remote Sensing of Environment, vol.82, issue.2-3, pp.397-416, 2002.
DOI : 10.1016/S0034-4257(02)00056-1

M. A. Lefsky, A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System, Geophysical Research Letters, vol.45, issue.6, p.15401, 2010.
DOI : 10.1029/2010GL043622

I. Fayad, N. Baghdadi, J. Bailly, N. Barbier, V. Gond et al., Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and??Random Forest Regressions, Remote Sensing, vol.6, issue.12, 2014.
DOI : 10.3390/rs61211883
URL : https://hal.archives-ouvertes.fr/hal-01128698