G. Asner, M. Palace, M. Keller, R. Pereira, J. Silva et al., Estimating Canopy Structure in an Amazon Forest from Laser Range Finder and IKONOS Satellite Observations1, Biotropica, vol.18, issue.4, pp.483-492, 2002.
DOI : 10.1016/S0034-4257(00)00101-2

G. Asner, G. Powell, J. Mascaro, D. Knapp, J. Clark et al., High-resolution forest carbon stocks and emissions in the Amazon, Proceedings of the National Academy of Sciences, vol.107, issue.38, p.16738, 2010.
DOI : 10.1073/pnas.1004875107

N. Barbier, P. Couteron, C. Proisy, Y. Malhi, and J. Gastellu-etchegorry, The variation of apparent crown size and canopy heterogeneity across lowland Amazonian forests, Global Ecology and Biogeography, vol.143, issue.1, pp.72-84, 2010.
DOI : 10.1111/j.1466-8238.2009.00493.x
URL : https://hal.archives-ouvertes.fr/halsde-00454134

N. Barbier, C. Proisy, C. Véga, D. Sabatier, and P. Couteron, Bidirectional texture function of high resolution optical images of tropical forest: An approach using LiDAR hillshade simulations, Remote Sensing of Environment, vol.115, issue.1, pp.167-179, 2011.
DOI : 10.1016/j.rse.2010.08.015

P. Birnbaum, Canopy surface topography in a French Guiana forest and the folded forest theory, Plant Ecol, vol.153, pp.293-300, 2001.
DOI : 10.1007/978-94-017-3606-0_23

G. Bonan, Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests, Science, vol.320, issue.5882, pp.1444-1449, 2008.
DOI : 10.1126/science.1155121

V. Bruniquel-pinel and J. Gastellu-etchegorry, Sensitivity of Texture of High Resolution Images of Forest to Biophysical and Acquisition Parameters, Remote Sensing of Environment, vol.65, issue.1, pp.61-85, 1998.
DOI : 10.1016/S0034-4257(98)00009-1

D. Coomes, R. Duncan, R. Allen, and J. Truscott, Disturbances prevent stem size-density distributions in natural forests from following scaling relationships, Ecology Letters, vol.25, issue.11, pp.980-989, 2003.
DOI : 10.1046/j.1461-0248.2003.00520.x

P. Couteron, R. Pelissier, E. Nicolini, and D. Paget, Predicting tropical forest stand structure parameters from Fourier transform of very high-resolution remotely sensed canopy images, Journal of Applied Ecology, vol.269, issue.3, pp.1121-1128, 2005.
DOI : 10.1111/j.1365-2664.2005.01097.x
URL : https://hal.archives-ouvertes.fr/hal-00016130

D. Liocourt and F. , De l'aménagement des Sapinières. Bull de la Société forestière de Franche-Comte et du, Territorie de Belfort, vol.4, pp.396-409, 1898.

P. Diggle, B. Enquist, G. West, and J. Brown, Time series: a biostatistical introduction Extensions and evaluations of a general quantitative theory of forest structure and dynamics, Proc Natl Acad Sci, vol.106, pp.7046-7051, 1989.

G. Foody, Remote sensing of tropical forest environments: Towards the monitoring of environmental resources for sustainable development, International Journal of Remote Sensing, vol.27, issue.20, pp.4035-4046, 2003.
DOI : 10.1080/13504500109470080

G. Frazer, M. Wulder, and K. Niemann, Simulation and quantification of the fine-scale spatial pattern and heterogeneity of forest canopy structure: A lacunarity-based method designed for analysis of continuous canopy heights, Forest Ecology and Management, vol.214, issue.1-3, pp.65-90, 2005.
DOI : 10.1016/j.foreco.2005.03.056

J. Gastellu-etchegorry, 3D modeling of satellite spectral images, radiation budget and energy budget of urban landscapes, Meteorology and Atmospheric Physics, vol.112, issue.1, pp.187-207, 2008.
DOI : 10.1007/s00703-008-0344-1
URL : https://hal.archives-ouvertes.fr/ird-00405362

F. Gougeon and D. Leckie, The Individual Tree Crown Approach Applied to Ikonos Images of a Coniferous Plantation Area, Photogrammetric Engineering & Remote Sensing, vol.72, issue.11, pp.1287-1297, 2006.
DOI : 10.14358/PERS.72.11.1287

L. Holdridge, Forest environments in tropical life zones: a pilot study, 1971.

A. Huete, K. Didan, T. Miura, E. Rodriguez, X. Gao et al., Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sensing of Environment, vol.83, issue.1-2, pp.195-213, 2002.
DOI : 10.1016/S0034-4257(02)00096-2

B. Husch and J. Harrison, Planning a forest inventory, 1971.

P. Hyde, R. Nelson, D. Kimes, and E. Levine, Exploring LiDAR???RaDAR synergy???predicting aboveground biomass in a southwestern ponderosa pine forest using LiDAR, SAR and InSAR, Remote Sensing of Environment, vol.106, issue.1, pp.28-38, 2007.
DOI : 10.1016/j.rse.2006.07.017

M. Imhoff, Radar backscatter and biomass saturation: ramifications for global biomass inventory. Geoscie and Remote Sens, IEEE Trans on, vol.33, pp.511-518, 1995.
DOI : 10.1109/36.377953

E. Kasischke and N. Christensen, Connecting forest ecosystem and microwave backscatter models, International Journal of Remote Sensing, vol.3, issue.7, pp.1277-1298, 1990.
DOI : 10.1109/TGRS.1987.289782

Y. Malhi and R. Roman-cuesta, Analysis of lacunarity and scales of spatial homogeneity in IKONOS images of Amazonian tropical forest canopies, Remote Sensing of Environment, vol.112, issue.5, pp.2074-2087, 2008.
DOI : 10.1016/j.rse.2008.01.009

B. Matérn, F. Morsdorf, C. Nichol, T. Malthus, and I. Woodhouse, Spatial variation Assessing forest structural and physiological information content of multispectral LiDAR waveforms by radiative transfer modelling, Remote Sens Environ, vol.113, pp.2152-2163, 1986.

M. Mugglestone and E. Renshaw, Detection of geological lineations on aerial photographs using two-dimensional spectral analysis, Computers & Geosciences, vol.24, issue.8, pp.771-784, 1998.
DOI : 10.1016/S0098-3004(98)00065-X

H. Muller-landau, R. Condit, J. Chave, S. Thomas, S. Bohlman et al., Testing metabolic ecology theory for allometric scaling of tree size, growth and mortality in tropical forests, Ecology Letters, vol.82, issue.5, pp.575-588, 2006.
DOI : 10.1017/S0266467405002294
URL : https://hal.archives-ouvertes.fr/hal-00131882

H. Muller-landau, R. Condit, K. Harms, C. Marks, S. Thomas et al., Comparing tropical forest tree size distributions with the predictions of metabolic ecology and equilibrium models, Ecology Letters, vol.82, issue.5, pp.589-602, 2006.
DOI : 10.1016/j.tree.2005.07.009

S. Pacala and D. Deutschman, Details That Matter: The Spatial Distribution of Individual Trees Maintains Forest Ecosystem Function, Oikos, vol.74, issue.3, pp.357-365, 1995.
DOI : 10.2307/3545980

P. Ploton, Analyzing canopy heterogeneity of the tropical forests by texture analysis of very-high resolution images?a case study in the Western Ghats of India 10, pp.1-71, 2010.

L. Polidori, P. Couteron, V. Gond, C. Proisy, and V. Trichon, Télédétection et caractérisation des paysages amazoniens. Rev Forest Franç, pp.101-117, 2004.

L. Poorter, L. Bongers, and F. Bongers, ARCHITECTURE OF 54 MOIST-FOREST TREE SPECIES: TRAITS, TRADE-OFFS, AND FUNCTIONAL GROUPS, Ecology, vol.87, issue.5, pp.1289-1301, 2006.
DOI : 10.1023/A:1004327224729

C. Proisy, E. Mougin, F. Fromard, and M. Karam, Interpretation of Polarimetric Radar Signatures of Mangrove Forests, Remote Sensing of Environment, vol.71, issue.1, pp.56-66, 2000.
DOI : 10.1016/S0034-4257(99)00064-4

C. Proisy, P. Couteron, and F. Fromard, Predicting and mapping mangrove biomass from canopy grain analysis using Fourier-based textural ordination of IKONOS images, Remote Sensing of Environment, vol.109, issue.3, pp.379-392, 2007.
DOI : 10.1016/j.rse.2007.01.009
URL : https://hal.archives-ouvertes.fr/hal-00164854

C. Proisy, N. Barbier, J. Gastellu-etchegorry, M. Guéroult, E. Grau et al., Biomass prediction in tropical forest: the canopy grain approach (eds) Remote sensing of biomass: principles and applications, 2011.

D. Purves, J. Lichstein, N. Strigul, and S. Pacala, Predicting and understanding forest dynamics using a simple tractable model, Proceedings of the National Academy of Sciences, vol.105, issue.44, p.17018, 2008.
DOI : 10.1073/pnas.0807754105
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2579370

P. Richards, J. Rubio, E. Grau, G. Sun, G. Etchgorry et al., The Tropical Rain Forest, Scientific American, vol.229, issue.6, 1995.
DOI : 10.1038/scientificamerican1273-58

H. Shugart, S. Saatchi, and F. Hall, Importance of structure and its measurement in quantifying function of forest ecosystems, Journal of Geophysical Research: Biogeosciences, vol.30, issue.5, 2010.
DOI : 10.1109/36.175328

G. Vincent and D. Harja, Exploring Ecological Significance of Tree Crown Plasticity through Three-dimensional Modelling, Annals of Botany, vol.101, issue.8, pp.1221-1231, 2008.
DOI : 10.1093/aob/mcm189
URL : https://hal.archives-ouvertes.fr/halsde-00290262

G. West, B. Enquist, and J. Brown, A general quantitative theory of forest structure and dynamics, Proceedings of the National Academy of Sciences, vol.106, issue.17, pp.7040-7045, 2009.
DOI : 10.1073/pnas.0812294106

J. Widlowski, M. Taberner, B. Pinty, V. Bruniquel-pinel, M. Disney et al., Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models, Journal of Geophysical Research, vol.103, issue.D9, p.9111, 2007.
DOI : 10.1029/2006JD007821
URL : https://hal.archives-ouvertes.fr/ird-00405091