R. Barbier, N. Couteron, P. Proisy, C. Malhi, Y. Gastellu-etchegorry et al., 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, P. Couteron, J. Gastelly-etchegorry, and C. Proisy, Linking canopy images to forest structural parameters: potential of a modeling framework, Annals of Forest Science, vol.112, issue.2, pp.305-311, 2012.
DOI : 10.1007/s13595-011-0116-9

URL : https://hal.archives-ouvertes.fr/hal-00930685

D. Binkley, J. L. Stape, W. L. Bauerle, and M. G. Ryan, Explaining growth of individual trees: Light interception and efficiency of light use by Eucalyptus at four sites in Brazil, Forest Ecology and Management, vol.259, issue.9, pp.1704-1713, 2010.
DOI : 10.1016/j.foreco.2009.05.037

D. Binkley, O. C. Campoe, M. Gspaltl, and D. I. Forrester, Light absorption and use efficiency in forests: why patterns differ for trees and stands. Forest Ecology and Management, 2012.

O. C. Campoe, J. L. Stape, J. Laclau, C. Marsden, and Y. Nouvellon, Stand-level patterns of carbon fluxes and partitioning in a Eucalyptus grandis plantation across a gradient of productivity, São Paulo State, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01269504

P. Couteron, R. Pélissier, 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. S. Culvenor, TIDA: an algorithm for the delineation of tree crowns in high spatial resolution remotely sensed imagery, Computers & Geosciences, vol.28, issue.1, pp.33-44, 2002.
DOI : 10.1016/S0098-3004(00)00110-2

S. Descamps, A. Béchet, X. Descombes, A. Arnaud, and J. Zerubia, An automatic counter for aerial images of aggregations of large birds, Bird Study, vol.2, issue.3, pp.302-330, 2011.
DOI : 10.1111/j.1365-2028.1997.098-89098.x

URL : https://hal.archives-ouvertes.fr/inria-00624587

X. Descombes, Stochastic Geometry for Image Analysis, 2012.
DOI : 10.1002/9781118601235

URL : https://hal.archives-ouvertes.fr/hal-00793677

X. Descombes, F. Kruggel, G. Wollny, and H. J. Gertz, An Object-Based Approach for Detecting Small Brain Lesions: Application to Virchow-Robin Spaces, IEEE Transactions on Medical Imaging, vol.23, issue.2, pp.246-255, 2004.
DOI : 10.1109/TMI.2003.823061

X. Descombes, R. Minlos, and E. Zhizhina, Object Extraction Using a Stochastic Birth-and-Death Dynamics in Continuum, Journal of Mathematical Imaging and Vision, vol.21, issue.3, pp.347-359, 2009.
DOI : 10.1007/s10851-008-0117-y

URL : https://hal.archives-ouvertes.fr/inria-00422411

B. Du-toit and S. B. Dovey, Effect of site management on leaf area, early biomass development, and stand growth efficiency of a Eucalyptus grandis plantation in South Africa, Canadian Journal of Forest Research, vol.35, 2005.

M. Erikson and K. Olofsson, Comparison of three individual tree crown detection methods. Machine Vision and Applications 16, pp.258-265, 2005.

A. M. Garau, J. H. Lemcoff, C. M. Ghersa, and C. L. Beadle, Water stress tolerance in Eucalyptus globulus Labill. subsp. maidenii (F. Muell.) saplings induced by water restrictions imposed by weeds, Forest Ecology and Management, vol.255, issue.7, pp.2811-2819, 2008.
DOI : 10.1016/j.foreco.2008.01.054

J. P. 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

M. T. Gebreslasie, F. B. Ahmed, J. A. Van-aardt, and F. Blakeway, plantation forests, International Journal of Remote Sensing, vol.22, issue.15, pp.4141-4154, 2011.
DOI : 10.1080/01431160310001659252

J. L. Gonçalves, J. L. Stape, J. Laclau, P. Smethurst, and J. L. Gava, Silvicultural effects on the productivity and wood quality of eucalypt plantations, Forest Ecology and Management, vol.193, issue.1-2, pp.45-61, 2004.
DOI : 10.1016/j.foreco.2004.01.022

F. A. Gougeon, A Crown-Following Approach to the Automatic Delineation of Individual Tree Crowns in High Spatial Resolution Aerial Images, Canadian Journal of Remote Sensing, vol.18, issue.3, pp.274-284, 1995.
DOI : 10.1016/0034-4257(92)90010-H

M. Hirschmugl, M. Ofner, J. Raggam, and M. Schardt, Single tree detection in very high resolution remote sensing data, Remote Sensing of Environment, vol.110, issue.4, pp.533-544, 2007.
DOI : 10.1016/j.rse.2007.02.029

S. Hummel, A. T. Hudak, E. H. Uebler, M. J. Falkowski, and K. A. Megown, A comparison of accuracy and cost of LiDAR versus stand exam data for landscape management on the Malheur National Forest, Journal of Forestry, pp.267-273, 2011.

M. Jacobsen, Point Process Theory and Applications: Marked Point and Piecewise Deterministic Processes, 2006.

I. Korpela, Individual tree measurements by means of digital aerial photogrammetry, Silva Fennica Monograph, vol.3, p.93, 2004.

M. Larsen and M. Rudemo, Optimizing templates for finding trees in aerial photographs, Pattern Recognition Letters, vol.19, issue.12, p.1162, 1153.
DOI : 10.1016/S0167-8655(98)00092-0

M. Larsen, M. Eriksson, X. Descombes, G. Perrin, T. Brandtberg et al., Comparison of six individual tree crown detection algorithms evaluated under varying forest conditions, International Journal of Remote Sensing, vol.68, issue.20, pp.5827-5852, 2011.
DOI : 10.1007/s00138-006-0064-9

G. Le-maire, C. Marsden, Y. Nouvellon, C. Grinand, R. Hakamada et al., MODIS NDVI time-series allow the monitoring of Eucalyptus plantation biomass, Remote Sensing of Environment, vol.115, issue.10, pp.2613-2625, 2011.
DOI : 10.1016/j.rse.2011.05.017

G. Le-maire, C. Marsden, W. Verhoef, F. J. Ponzoni, D. Lo-seen et al., Leaf area index estimation with MODIS reflectance time series and model inversion during full rotations of Eucalyptus plantations, Remote Sensing of Environment, vol.115, issue.2, pp.586-599, 2011.
DOI : 10.1016/j.rse.2010.10.004

J. Zhou, Mapping local density of young Eucalyptus plantations by individual tree detection in high spatial resolution satellite images, Forest Ecology and Management, vol.301, 2012.
DOI : 10.1016/j.foreco.2012.10.007

URL : https://hal.archives-ouvertes.fr/hal-00741010

G. Le-maire, Y. Nouvellon, O. Roupsard, M. Christina, F. Charbonnier et al., Very high resolution satellite images for parameterization of tree-scale forest processbased model, p.2012, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00741004

G. Le-maire, Y. Nouvellon, M. Christina, F. J. Ponzoni, J. L. Gonçalves et al., Tree and stand light use efficiencies over a full rotation of single-and mixed-species Eucalyptus grandis and Acacia mangium plantations. Forest Ecology and Management, 2012.

C. Marsden, G. Le-maire, J. Stape, D. L. Seen, O. Roupsard et al., Relating MODIS vegetation index time-series with structure, light absorption and stem production of fast-growing Eucalyptus plantations, Forest Ecology and Management, vol.259, issue.9, pp.1741-1753, 2010.
DOI : 10.1016/j.foreco.2009.07.039

B. E. Medlyn, A MAESTRO retrospective., Forests at the Land-Atmosphere Interface, pp.105-122, 2004.
DOI : 10.1079/9780851996776.0105

P. Packalén, L. Mehtätalo, and M. Maltamo, ALS-based estimation of plot volume and site index in a eucalyptus plantation with a nonlinear mixed-effect model that accounts for the clone effect, Annals of Forest Science, vol.86, issue.6, pp.1085-1092, 2011.
DOI : 10.1007/s13595-011-0124-9

R. N. Pallett and G. Sale, The relative contributions of tree improvement and cultural practice toward productivity gains in Eucalyptus pulpwood stands, Forest Ecology and Management, vol.193, issue.1-2, pp.33-43, 2004.
DOI : 10.1016/j.foreco.2004.01.021

G. Perrin, X. Descombes, J. Zerubia, and J. G. Boureau, Forest resource assessment using stochastic geometry In: International Precision Forestry Symposium, 2006.

J. Pitkänen, Individual tree detection in digital aerial images by combining locally adaptive binarization and local maxima methods, Canadian Journal of Forest Research, vol.31, issue.5, pp.832-844, 2001.
DOI : 10.1139/x01-013

P. Ploton, R. Pélissier, C. Proisy, T. Flavenot, N. Barbier et al., Assessing aboveground tropical forest biomass using Google Earth canopy images, Ecological Applications, vol.22, issue.3, pp.993-1003, 2012.
DOI : 10.1016/S0034-4257(97)00169-7

URL : http://dx.doi.org/10.6084/M9.FIGSHARE.C.3295415

D. Pouliot and D. King, Approaches for optimal automated individual tree crown detection in regenerating coniferous forests, Canadian Journal of Remote Sensing, vol.73, issue.1, pp.255-267, 2005.
DOI : 10.5589/m05-011

D. Pouliot, D. King, and D. Pitt, Development and evaluation of an automated tree detection??delineation algorithm for monitoring regenerating coniferous forests, Canadian Journal of Forest Research, vol.35, issue.10, pp.2332-2345, 2005.
DOI : 10.1139/x05-145

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. Gratiot, E. J. Anthony, A. Gardel, F. Fromard et al., Mud bank colonization by opportunistic mangroves: A case study from French Guiana using lidar data, Continental Shelf Research, vol.29, issue.3, pp.632-641, 2009.
DOI : 10.1016/j.csr.2008.09.017

URL : https://hal.archives-ouvertes.fr/hal-00480736

J. J. Richardson and L. M. Moskal, Strengths and limitations of assessing forest density and spatial configuration with aerial LiDAR, Remote Sensing of Environment, vol.115, issue.10, pp.2640-2651, 2011.
DOI : 10.1016/j.rse.2011.05.020

C. Song, M. B. Dickinson, L. Su, S. Zhang, and D. Yaussey, Estimating average tree crown size using spatial information from Ikonos and QuickBird images: Across-sensor and across-site comparisons, Remote Sensing of Environment, vol.114, issue.5, pp.1099-1107, 2010.
DOI : 10.1016/j.rse.2009.12.022

P. R. Stephens, M. O. Kimberley, P. N. Beets, T. S. Paul, N. Searles et al., Airborne scanning LiDAR in a double sampling forest carbon inventory, Remote Sensing of Environment, vol.117, pp.348-357, 2012.
DOI : 10.1016/j.rse.2011.10.009

D. Stoyan, W. S. Kendall, J. Mecke, and D. G. Kendall, Stochastic Geometry and Its Applications., Biometrics, vol.45, issue.2, 1995.
DOI : 10.2307/2531521

S. G. Tesfamichael, F. Ahmed, J. A. Van-aardt, and F. Blakeway, A semi-variogram approach for estimating stems per hectare in Eucalyptus grandis plantations using discrete-return lidar height data, Forest Ecology and Management, vol.258, issue.7, pp.1188-1199, 2009.
DOI : 10.1016/j.foreco.2009.06.016

J. K. Vanclay, Modelling Forest Growth and Yield: Applications to Mixed Tropical Forests, CABI, p.312, 1994.

J. Vauhkonen, L. Mehtätalo, and P. Packalén, plantations, Canadian Journal of Forest Research, vol.41, issue.8, pp.1649-1658, 2011.
DOI : 10.1139/x11-083

J. Vauhkonen, L. Ene, S. Gupta, J. Heinzel, J. Holmgren et al., Comparative testing of single-tree detection algorithms under different types of forest, Forestry, vol.85, issue.1, pp.27-40, 2012.
DOI : 10.1093/forestry/cpr051

G. A. Walters, Saligna Eucalyptus growth in a 15-year-old spacing study in Hawaii. Pacific Southwest Forest and Range Experiment Station 151, pp.1-6, 1980.

M. A. Wulder, J. C. White, K. O. Niemann, and T. Nelson, Comparison of airborne and satellite high spatial resolution data for the identification of individual trees with local maxima filtering, International Journal of Remote Sensing, vol.47, issue.11, pp.2225-2232, 2004.
DOI : 10.5589/m02-059

J. Zhou, Mapping local density of young Eucalyptus plantations by individual tree detection in high spatial resolution satellite images, Forest Ecology and Management, vol.301, 2012.
DOI : 10.1016/j.foreco.2012.10.007

URL : https://hal.archives-ouvertes.fr/hal-00741010

X. Descombes, R. Minlos, and E. Zhizhina, Object Extraction Using a Stochastic Birth-and-Death Dynamics in Continuum, Journal of Mathematical Imaging and Vision, vol.21, issue.3, pp.347-359, 2009.
DOI : 10.1007/s10851-008-0117-y

URL : https://hal.archives-ouvertes.fr/inria-00422411

M. Larsen, M. Eriksson, X. Descombes, G. Perrin, T. Brandtberg et al., Comparison of six individual tree crown detection algorithms evaluated under varying forest conditions, International Journal of Remote Sensing, vol.68, issue.20
DOI : 10.1007/s00138-006-0064-9

J. Zhou, C. Proisy, X. Descombes, I. Hedhli, N. Barbier et al., Tree crown detection in high resolution optical and lidar images of tropical forest, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, p.78240, 2010.
DOI : 10.1117/12.865068

URL : https://hal.archives-ouvertes.fr/inria-00534791

C. J. Prost, M. D. Dare, and A. Z. Zerger, Discrimination of Eucalyptus canopy from airborne linescanner imagery using Markov random field modelling, Environmental Modelling & Software, vol.23, issue.1, pp.56-71, 2008.
DOI : 10.1016/j.envsoft.2007.05.001

G. Perrin, Etude du couvert forestier par processus ponctuels marqués, 2006.

J. Holmgren, A. Persson, and U. Söderman, Species identification of individual trees by combining high resolution LiDAR data with multi???spectral images, International Journal of Remote Sensing, vol.36, issue.5, pp.1537-1552, 2008.
DOI : 10.1139/x04-093

M. Erikson, Segmentation and Classification of Individual Tree Crowns in High Spatial Resolution Aerial Images, 2004.

G. , L. Maire, C. Marsden, W. Verhoef, F. J. Ponzoni et al., Leaf area indix estimation with MODIS reflectance time series and model inversion during full rotations of Eucalyptus plantations, pp.115-586, 2011.

S. Descamps, X. Descombes, A. Béchet, and J. Zerubia, Flamingo detection using marked point processes for estimating the size of populations, Traitement du Signal, vol.26, pp.95-108, 2009.

P. Thévenaz, T. Blu, and M. Unser, Image Interpolation and Resampling, Handbook of Medical Image Processing and Analysis, pp.465-493, 2009.

J. Gastellu-etchegorry, P. Guillevicl, F. Zagolski, V. Demarez, V. Trichon et al., Modeling BRF and Radiation Regime of Boreal and Tropical Forests, Remote Sensing of Environment, vol.68, issue.3, pp.68-281, 1999.
DOI : 10.1016/S0034-4257(98)00119-9

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

P. Gastellu-etchegorry and P. Couteron, Tree crown detection in high resolution optical and LiDAR images of tropical forest, Proceeding of SPIE, Remote Sensing for Agriculture, Ecosystems, and Hydrology, pp.20-23, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00534791

V. Submitting, the forest canopy [ 1, 2 ], which proved correlated with important forest attributes as above-ground biomass (AGB) In comparison, both optical and radar derived intensities are unable to represent the whole range of structural variation observable in tropical forest, because signal is saturated at the midlevel of leaf area index and total AGB (e.g, while for texture indices saturation was not observed up to AGB values of more than 500 tons of dry matter per hectare

J. Zhou, C. Proisy, N. Barbier, and P. Couteron, Boulevard de la Lironde, TA A51-PS2, 34398 Montpellier cedex 5, France E-mail: jia.zhou@cirad.fr, christophe.proisy@ird.fr, nbarbier@ulb.ac.be, pierre.couteron@ird.fr X. Descombes, I. Hedhli and J. Zerubia, J. P. Gastellu-Etchegorry: 18 Av. Ed. Belin, p.31401, 2004.

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

N. Barbier, P. Couteron, C. Proisy, Y. Malhi, and J. P. 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

G. Foody, D. Boyd, and M. Culter, Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions, Remote Sensing of Environment, vol.85, issue.4, pp.463-474, 2003.
DOI : 10.1016/S0034-4257(03)00039-7

E. Mougin, Multifrequency and multipolarization radar backscattering from mangrove forests, IEEE Transactions on Geoscience and Remote Sensing, vol.37, issue.1, pp.94-102, 1999.
DOI : 10.1109/36.739128

S. Descamps, X. Descombes, A. Béchet, and J. Zerubia, Flamingo detection using marked point processes for estimating the size of populations, Traitement du Signal, vol.26, 2009.

J. Gastellu-etchegorry, P. Guillevicl, F. Zagolski, V. Demarez, V. Trichon et al., Modeling BRF and Radiation Regime of Boreal and Tropical Forests, Remote Sensing of Environment, vol.68, issue.3, pp.281-316, 1999.
DOI : 10.1016/S0034-4257(98)00119-9

C. Proisy, N. Gratiot, E. J. Anthony, A. Gardel, F. Fromard et al., Mud bank colonization by opportunistic mangroves: A case study from French Guiana using lidar data, Continental Shelf Research, vol.29, issue.3, pp.632-641, 2009.
DOI : 10.1016/j.csr.2008.09.017

URL : https://hal.archives-ouvertes.fr/hal-00480736

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

G. B. West, B. J. Enquist, and J. H. 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

M. N. Lieshout, Markov point processes and their applications [hardcover], 2000.

G. Perrin, X. Descombes, J. Zerubia, and J. Boureau, Forest resource assessment using stochastic geometry, International Precision Forestry Symposium, 2006.

X. Descombes, R. Minlos, and E. Zhizhina, Object Extraction Using a Stochastic Birth-and-Death Dynamics in Continuum, Journal of Mathematical Imaging and Vision, vol.21, issue.3, pp.347-359, 2009.
DOI : 10.1007/s10851-008-0117-y

URL : https://hal.archives-ouvertes.fr/inria-00422411

J. Zhou, F. Ponzoni, J. Stape, J. Dauzat, P. Couteron et al., Very high resolution satellite images for parameterization of treescale forest process-based model, IEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.22-27, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00741004

G. Le-maire, Y. Nouvellon, and M. Christina, Forests at the Land-Atmosphere Interface,Factors controlling carbon and water balances on fast growing Eucalyptus plantationsTree crown detection in high resolution optical images during the early growth stages of eucalyptus plantations in Brazil Leaf area index at the crossroad of environmental services in a coffee agroforestry system Object Extraction Using a Stochastic Birth-and- Death Dynamics in Continuum Comparison of six individual tree crown detection algorithms evaluated under varying forest conditions, Proceedings IUFRO Improvement and Culture of Eucalypts MODIS NDVI time-series allow the monitoring of Eucalyptus plantation biomass Modeling radiative transfer in heterogeneous 3-d vegetation canopies, pp.105-122, 1996.

J. P. Gastellu-etchegorry, E. Martin, and F. Gascon, DART: a 3D model for simulating satellite images and studying surface radiation budget, International Journal of Remote Sensing, vol.16, issue.1, pp.73-96, 2004.
DOI : 10.1145/127719.122739

F. Charbonnier, O. Roupsard, and E. Dreyer, Verifying MAESTRA from plant to plot in a heterogeneous agroforestry system of Costa Rica, 30th AMS Conference on Agricultural and Forest Meteorology, 2012.

M. Erikson, Segmentation and Classification of Individual Tree Crowns in High Spatial Resolution Aerial Images, pp.178-2012, 2004.

. Bibliographie and . Fao, The world's mangroves 1980-2005. a thematic study prepared in the framework of the global forest resources assessment, 2005.

L. Aarts, E. Aarts, and P. V. Laarhoven, Statistical cooling : A general approach to combinatorial optimization problems, Philips Journal of Research, vol.40, pp.193-226, 1985.

. Anthony, Tree diameter-height allometries are much more variable than diameter-crown size allometries across species and environments in a monsoon wet evergreen forest of india, Oecologia, 2012.

. Asner, High-resolution Mapping of Forest Carbon Stocks in the Colombian Amazon, Biogeosciences Discussions, vol.9, issue.3, pp.2445-2479, 2012.
DOI : 10.5194/bgd-9-2445-2012-supplement

. Asner, 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

. Asner, High-resolution forest carbon stocks and emissions in the Amazon, Rroceedings of the National Academy of Sciences, pp.16738-16742, 2010.
DOI : 10.1073/pnas.1004875107

. Austin, Estimating forest biomass using satellite radar: an exploratory study in a temperate Australian Eucalyptus forest, Forest Ecology and Management, vol.176, issue.1-3, pp.1-3575, 2002.
DOI : 10.1016/S0378-1127(02)00314-6

L. Baddeley, A. Baddeley, and M. V. Lieshout, Stochatic geometry models in high-level vision, Statistics and Images, vol.1, pp.231-256, 1993.

. Banin, What controls tropical forest architecture? Testing environmental, structural and floristic drivers, Global Ecology and Biogeography, vol.39, issue.12, 2012.
DOI : 10.1111/j.1466-8238.2012.00778.x

. Barbier, Linking canopy images to forest structural parameters: potential of a modeling framework, Annals of Forest Science, vol.112, issue.2, pp.305-311, 2012.
DOI : 10.1007/s13595-011-0116-9

URL : https://hal.archives-ouvertes.fr/hal-00930685

. Barbier, 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

. Barbier, Bidirectional texture function of lidar hillshade models of tropical forest canopy : An approach using lidar hillshade simulations, pp.167-179, 2011.

A. Bhattacharyya, On a measure of divergence between two statistical populations defined by their probability distributions, Bulletin of the Calcutta Mathematical Society, vol.35, pp.99-109, 1943.

. Binkley, Explaining growth of individual trees: Light interception and efficiency of light use by Eucalyptus at four sites in Brazil, Forest Ecology and Management, vol.259, issue.9, pp.1704-1713, 2005.
DOI : 10.1016/j.foreco.2009.05.037

P. Birnbaum, Canopy surface topography in a French Guiana forest and the folded forest theory, PLANT ECOLOGY, vol.153, issue.12, pp.293-300, 2001.
DOI : 10.1007/978-94-017-3606-0_23

H. Blandford, The aero-photo survey and mapping of the irrawaddy delta, Indian Forester, vol.50, pp.605-616, 1924.

C. Blazquez, Computer-based image analysis and tree counting with aerial color infrared photography, Journal of imaging technology, vol.15, issue.4, pp.163-168, 1989.

I. Bloch, Fusion d'informations en traitement du signal et des images, 2003.

. Bloch, . Maitre, I. Bloch, and H. Maitre, Data fusion in image processing : information models and decisions, pp.431-568, 1994.

. Bohlman, . Pacala, S. Bohlman, and S. Pacala, A forest structure model that determines crown layers and partitions growth and mortality rates for landscape-scale applications of tropical forests, Journal of Ecology, vol.51, issue.2, pp.508-518, 2012.
DOI : 10.1111/j.1365-2745.2011.01935.x

G. Bonan, Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests, Science, vol.320, issue.5882, pp.3201444-1449, 2008.
DOI : 10.1126/science.1155121

D. Bragg, Potential relative increment (PRI): a new method to empirically derive optimal tree diameter growth, Ecological Modelling, vol.137, issue.1, pp.77-92, 2001.
DOI : 10.1016/S0304-3800(00)00433-6

W. Brandtberg, T. Brandtberg, and F. Walter, Automated delineation of individual tree crowns in high spatial resolution aerial images by multiplescale analysisy, Machine Vision and Applications, pp.64-73, 1998.

P. Brémaud, Markov chain : Gibbs Fields, Monte Carlo Simulation and Queues, 2001.

. Brosset, Bat communities and deforestation in French Guiana, Canadian Journal of Zoology, vol.74, issue.11, pp.741974-1982, 1996.
DOI : 10.1139/z96-224

G. Bruniquel-pinel, 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

. Chave, 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

. Chave, Error propagation and scaling for tropical forest biomass estimates, Philosophical Transactions of the Royal Society, Series B, pp.359409-420, 1443.
DOI : 10.1093/acprof:oso/9780198567066.003.0013

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1693335

. Coomes, 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, Quantifying change in patterned semi-arid vegetation by Fourier analysis of digitized aerial photographs, International Journal of Remote Sensing, vol.4, issue.17, p.23, 2002.
DOI : 10.2307/2258335

. Couteron, Linking remote-sensing information to tropical forest structure : The crucial role of modelling, 2012.

. Couteron, Predicting tropical forest stand structure parameters from fourier transform of very highresolution remotely sensed canopy images, Journal of applied ecology, issue.6, pp.421121-1128, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00016130

D. Culvenor, TIDA: an algorithm for the delineation of tree crowns in high spatial resolution remotely sensed imagery, Computers & Geosciences, vol.28, issue.1, pp.33-44, 2002.
DOI : 10.1016/S0098-3004(00)00110-2

M. Erikson, Segmentation and Classification of Individual Tree Crowns in High Spatial Resolution Aerial Images, 2004.

M. Et, M. Rudemo-]-et, and J. L. Rudemo, Models for point processes observed with noise, Biometrika, vol.87, issue.2, pp.235-249, 2000.

. Falkowski, Automated estimation of individual conifer tree height and crown diameter via two-dimensional spatial wavelet analysis of lidar data, Canadian Journal of Remote Sensing, vol.43, issue.3, pp.153-161, 2006.
DOI : 10.5589/m06-005

. Franceschetti, . Lanari, G. Franceschetti, and R. Lanari, Synthetic aperture radar processing. Electronic engineering systems series, 1999.

F. Fromard and C. Proisy, Coastal dynamics and their consequences for mangrove structure and functioning in french guiana, pp.229-232, 2010.

. Fromard, Structure, above-ground biomass and dynamics of mangrove ecosystems: new data from French Guiana, Oecologia, vol.115, issue.1-2, pp.39-53, 1998.
DOI : 10.1007/s004420050489

. Fromard, Half a century of dynamic coastal change affecting mangrove shorelines of French Guiana. A case study based on remote sensing data analyses and field surveys, Marine Geology, vol.208, issue.2-4, pp.265-280, 2004.
DOI : 10.1016/j.margeo.2004.04.018

URL : https://hal.archives-ouvertes.fr/hal-00023043

. Gamal-eldin, Multiple birth and cut algorithm for multiple object detection, Journal of Multimedia Processing and Technologies, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00616371

. Gamal-eldin, Multiple Birth and Cut Algorithm for Point Process Optimization, 2010 Sixth International Conference on Signal-Image Technology and Internet Based Systems, pp.35-42, 2010.
DOI : 10.1109/SITIS.2010.17

URL : https://hal.archives-ouvertes.fr/inria-00516305

. Garrity, Estimating plot-level tree structure in a deciduous forest by combining allometric equations, spatial wavelet analysis and airborne LiDAR, Remote Sensing Letters, vol.108, issue.5, pp.443-451, 2012.
DOI : 10.1080/01431160902882603

. Gastellu-etchegorry and J. Gastellu-etchegorry, 3d modeling of satellite spectral images, radiation budget and energy budget of urban landscapes. Meteorology and Atmospheric Physics, pp.3-4187, 2008.
URL : https://hal.archives-ouvertes.fr/ird-00405362

. Gastellu-etchegorry, Modeling radiative transfer in heterogeneous 3-D vegetation canopies, Remote Sensing of Environment, vol.58, issue.2, pp.131-156, 1996.
DOI : 10.1016/0034-4257(95)00253-7

URL : https://hal.archives-ouvertes.fr/ird-00405222

. Gastellu-etchegorry, Modeling BRF and Radiation Regime of Boreal and Tropical Forests, Remote Sensing of Environment, vol.68, issue.3, pp.281-316, 1999.
DOI : 10.1016/S0034-4257(98)00119-9

M. Geyer, C. Geyer, and J. Møller, Simulation procedures and likelihood inference for spatial point processes, Scandinavian Journal of Statistics, vol.21, issue.4, pp.359-373, 1994.

. Gonçalves, Assessing the effects of early silvicultural management on long-term site productivity of fast-growing eucalypt plantatations : the brazilian experience. Southern forests, pp.105-118, 2008.

. Gonçalves, Silvicultural effects on the productivity and wood quality of eucalypt plantations, Forest Ecology and Management, vol.193, issue.1-2, pp.45-51, 2004.
DOI : 10.1016/j.foreco.2004.01.022

. Gong, Estimation of forest leaf area index using vegetation indices derived from hyperion hyperspectral data, IEEE Transactions on Geoscience and Remote Sensing, vol.41, issue.6, pp.411355-1362, 2003.
DOI : 10.1109/TGRS.2003.812910

. Gong, . Sheng, P. Gong, and Y. Sheng, 3d model-based tree measurement from high resolution aerial imagery, Photogrammetric Engineering and Remote Sensing, vol.68, pp.1203-1212, 2002.

F. Goreaud, Apport de l'analyse de la structure spatiale en forêt tempéréè a l'´ etude et la modélisation des peuplements complexes, 2000.

F. Gougeon, A Crown-Following Approach to the Automatic Delineation of Individual Tree Crowns in High Spatial Resolution Aerial Images, Canadian Journal of Remote Sensing, vol.18, issue.3, pp.274-284, 1995.
DOI : 10.1016/0034-4257(92)90010-H

F. Gougeon, A locally adaptive technique for forest regeneration assessments from high resolution aerial images, 19th Canadian Symposium on Remote Sensing, 1997.

F. Gougeon, Automatic individual tree crown delineation using a valley-following algorithm and a rule-based system. In International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry, pp.11-23, 1998.

. Gougeon, Individual tree crown species recognition : the nahmint study. In International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry, pp.209-223, 1998.

P. Green, Reversible jump Markov chain Monte Carlo computation and Bayesian model determination, Biometrika, vol.82, issue.4, pp.711-732, 1995.
DOI : 10.1093/biomet/82.4.711

W. Hastings, Monte Carlo sampling methods using Markov chains and their applications, Biometrika, vol.57, issue.1, pp.97-109, 1970.
DOI : 10.1093/biomet/57.1.97

I. Hedhli, Détection et décompte des couronnes d'arbres en forêt tropicalè a partir d'images panchromatiques et/ou multi-spectrales et de données lidar, 2010.

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

. Holmgren, Species identification of individual trees by combining high resolution LiDAR data with multi???spectral images, International Journal of Remote Sensing, vol.36, issue.5, pp.291537-1552, 2008.
DOI : 10.1139/x04-093

. Horvath, A higherorder active contour model for tree detection, International Conference on Pattern Recognition, pp.130-133, 2006.

. Huang, Improving Measurement of Forest Structural Parameters by Co-Registering of High Resolution Aerial Imagery and Low Density LiDAR Data, Sensors, vol.9, issue.3, pp.1541-1558, 2009.
DOI : 10.3390/s90301541

. Huete, 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

. Jackson, Protecting climate with forests, Environmental Research Letters, vol.3, issue.4, 2008.
DOI : 10.1088/1748-9326/3/4/044006

S. James and D. Bell, Leaf orientation, light interception and stomatal conductance of Eucalyptus globulus ssp. globulus leaves, Tree Physiology, vol.20, issue.12, pp.815-823, 2000.
DOI : 10.1093/treephys/20.12.815

. Komiyama, Common allometric equations for estimating the tree weight of mangroves, Journal of Tropical Ecology, vol.21, issue.04, pp.471-477, 2005.
DOI : 10.1017/S0266467405002476

. Korpela, Single-tree forest inventory using lidar and aerial images for 3d treetop positioning, species recognition, height and crown width estimation, International Conference on Pattern Recognition, pp.227-233, 2007.

. Kulikova, A Marked Point Process Model with Strong Prior Shape Information for the Extraction of Multiple, Arbitrarily-Shaped Objects, 2009 Fifth International Conference on Signal Image Technology and Internet Based Systems, 2009.
DOI : 10.1109/SITIS.2009.38

. Kulikova, Extraction of arbitrarily-shaped objects using stochastic multiple birth-and-death dynamics and active contours, Computational Imaging VIII, 2010.
DOI : 10.1117/12.839191

URL : https://hal.archives-ouvertes.fr/inria-00465472

. Kulikova, Tree species classification using radiometry, texture and shape based features, Proc. European Signal Processing Conference (EUSIPCO), 2007.
URL : https://hal.archives-ouvertes.fr/inria-00465505

C. Lacoste, Extraction de réseaux linéiqueslinéiquesà partir d'images satellitaires et aériennes par processus ponctuels marqués, 2004.

C. Langevin, Le mécanisme redd+ : Synthèsè a l'usage des concessionnaires forestiers en afrique centrale, 2012.

. Langner, Integration of carbon conservation into sustainable forest management using high resolution satellite imagery: A case study in Sabah, Malaysian Borneo, International Journal of Applied Earth Observation and Geoinformation, vol.18, pp.305-312, 2012.
DOI : 10.1016/j.jag.2012.02.006

M. Larsen, Crown modelling to find tree top positions in aerial photographs, the Third International Airborne Remote Sensing Conference and Exhibition, pp.428-435, 1997.

M. Larsen, Individual tree top position estimation by template voting, the Fourth International Airborne Remote Sensing Conference and Exhibition, pp.83-90, 1999.

. Larsen, Comparison of six individual tree crown detection algorithms evaluated under varying forest conditions, International Journal of Remote Sensing, vol.68, issue.20, pp.5827-5852, 2011.
DOI : 10.1007/s00138-006-0064-9

R. Larsen, M. Larsen, and M. Rudemo, Estimation of tree positions from aerial photos, the 1997 Swedish Symposium on Image Analysis, pp.130-134, 1997.

R. Larsen, M. Larsen, and M. Rudemo, Optimizing templates for finding trees in aerial photographs, the Third International Airborne Remote Sensing Conference and Exhibition, pp.1153-1162, 1998.
DOI : 10.1016/S0167-8655(98)00092-0

. Lieberman, ABSTRACT, Journal of Tropical Ecology, vol.31, issue.02, pp.161-177, 1995.
DOI : 10.2307/1940257

M. V. Lieshout, Markov Point Processes and their Applications, 2000.
DOI : 10.1142/p060

R. Malhi, Y. Malhi, and R. Román-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

. Marsden, Relating MODIS vegetation index time-series with structure, light absorption and stem production of fast-growing Eucalyptus plantations, Forest Ecology and Management, vol.259, issue.9, pp.1741-1753, 2010.
DOI : 10.1016/j.foreco.2009.07.039

T. Mather, P. Mather, and B. Tso, Classification Methods for Remotely Sensed Data, 2009.

. Metropolis, Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-1092, 1953.
DOI : 10.1063/1.1699114

. Moeller, Texture classification applied on aerial imagery in forestry, 19th European Conference on Modelling and Simulation, 2005.

. Moravie, Ecological meaning and predictive ability of social status, vigour and competition indices in a tropical rain forest (india) Forest Ecology and Management, pp.1-3221, 1999.

. Mougin, Multifrequency and multipolarization radar backscattering from mangrove forests, IEEE Transactions on Geoscience and Remote Sensing, vol.37, issue.1, pp.94-102, 1999.
DOI : 10.1109/36.739128

. Muller-landau, 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

. Muller-landau, 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

. Ni-meister, Assessing general relationships between aboveground biomass and vegetation structure parameters for improved carbon estimate from lidar remote sensing, Journal of Geophysical Research: Biogeosciences, vol.34, issue.3-4, p.115, 2010.
DOI : 10.1016/S0264-3707(02)00042-X

. Niemann, Automated tree crown identification using digital orthophoto mosaics. In International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry, pp.105-113, 1998.

G. Perrin, Etude du Couvert Forestier par Processus Ponctuels Marqués, 2006.

. Persson, Detecting and measuring individual trees using an airborne laser scanner, pp.925-932, 2002.

. Phelps, Biodiversity co-benefits of policies to reduce forest-carbon emissions, Nature Climate Change, vol.4, issue.7, pp.497-503, 2012.
DOI : 10.1111/j.1523-1739.2008.00943.x

A. Pinz, A computer vision system for the recognition of trees in aerial photographs, Multisource Data integration in Remote Sensing, NASA Conference Publication, pp.111-124, 1991.

A. Pinz, Tree isolation and species classification In International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry, Pacific Forestry Center, pp.127-139, 1998.

. Pitkanen, Adaptive methods for individual tree detection on airborne laser based canopy height model. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, pp.36187-191, 2004.

. Ploton, Assessing aboveground tropical forest biomass using Google Earth canopy images, Ecological Applications, vol.22, issue.3, pp.993-1003, 2012.
DOI : 10.1016/S0034-4257(97)00169-7

URL : http://dx.doi.org/10.6084/M9.FIGSHARE.C.3295415

R. Pollock, <title>Model-based approach to automatically locating tree crowns in high spatial resolution images</title>, Image and Signal Processing for Remote Sensing, pp.526-537, 1994.
DOI : 10.1117/12.196753

R. Pollock, The Automatic Recognition of Individual Trees in Aerial Images of Forests based upon a Synthetic Tree Crown Image Model, 1996.

. Poorter, 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

W. Popescu, S. Popescu, and R. Wynne, Seeing the Trees in the Forest, Photogrammetric Engineering & Remote Sensing, vol.70, issue.5, pp.589-604, 2004.
DOI : 10.14358/PERS.70.5.589

. Popescu, Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass, Canadian Journal of Remote Sensing, vol.73, issue.5, pp.29564-577, 2003.
DOI : 10.1139/cjfr-28-7-1016

Z. Popescu, S. Popescu, and K. Zhao, A voxel-based lidar method for estimating crown base height for deciduous and pine trees. Remote sensing of environment, pp.767-781, 2008.

. Pouliot, Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration, Remote Sensing of Environment, vol.82, issue.2-3, pp.322-334, 2002.
DOI : 10.1016/S0034-4257(02)00050-0

C. Preston, Spatial birth and death processes, Advances in Applied Probability, vol.7, issue.03, pp.371-391, 1976.
DOI : 10.1016/0001-8708(70)90034-4

. Proisy, Biomass Prediction in Tropical Forests: The Canopy Grain Approach, Remote Sensing of Biomass -Principles and Applications, pp.59-76, 2012.
DOI : 10.5772/17185

URL : https://hal.archives-ouvertes.fr/hal-01267823

. Proisy, 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

. Proisy, Apport de la mesure du grain de canopée dans les images thr pour l'estimation des paramètres forestiers en mangroves de forte biomasse, 2012.

. Proisy, Mud bank colonization by opportunistic mangroves: A case study from French Guiana using lidar data, Continental Shelf Research, vol.29, issue.3, pp.632-641, 2009.
DOI : 10.1016/j.csr.2008.09.017

URL : https://hal.archives-ouvertes.fr/hal-00480736

. Proisy, 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

. Proisy, On the influence of canopy structure on the radar backscattering of mangrove forests, International Journal of Remote Sensing, vol.23, issue.20, pp.4197-4210, 2002.
DOI : 10.1080/01431160110107725

S. Purves, D. Purves, S. , and S. P. , Predictive Models of Forest Dynamics, Science, vol.320, issue.5882, pp.1452-1453, 2008.
DOI : 10.1126/science.1155359

. Reitberger, 3D segmentation of single trees exploiting full waveform LIDAR data, ISPRS Journal of Photogrammetry and Remote Sensing, vol.64, issue.6, pp.561-574, 2009.
DOI : 10.1016/j.isprsjprs.2009.04.002

P. Saenger, Mangrove Ecology, Silviculture, and Conservation, 2002.
DOI : 10.1007/978-94-015-9962-7

J. Sarraihl, Les parcellesélémentairesàparcellesélémentairesparcellesélémentaires`parcellesélémentairesà ecerex, ´ etude du ruissellement et de l'´ erosion sous forêt naturelle et sous prairie, 1990.

. Schaffelke, Water quality in the Great Barrier Reef region: responses of mangrove, seagrass and macroalgal communities, Marine Pollution Bulletin, vol.51, issue.1-4, pp.279-296, 2005.
DOI : 10.1016/j.marpolbul.2004.10.025

. Shugart, Importance of structure and its measurement in quantifying function of forest ecosystems, Journal of Geophysical Research: Biogeosciences, vol.30, issue.5, p.115, 2010.
DOI : 10.1109/36.175328

. Solberg, Single Tree Segmentation Using Airborne Laser Scanner Data in a Structurally Heterogeneous Spruce Forest, Photogrammetric Engineering & Remote Sensing, vol.72, issue.12, pp.721369-1378, 2006.
DOI : 10.14358/PERS.72.12.1369

. Song, Estimating average tree crown size using spatial information from Ikonos and QuickBird images: Across-sensor and across-site comparisons, Remote Sensing of Environment, vol.114, issue.5, pp.1099-1107, 2010.
DOI : 10.1016/j.rse.2009.12.022

. Stape, The Brazil Eucalyptus Potential Productivity Project: Influence of water, nutrients and stand uniformity on wood production, Forest Ecology and Management, vol.259, issue.9, pp.1684-1694, 2010.
DOI : 10.1016/j.foreco.2010.01.012

. Steege, An analysis of the floristic composition and diversity of Amazonian forests including those of the Guiana Shield, Journal of Tropical Ecology, vol.16, issue.6, pp.801-828, 2000.
DOI : 10.1017/S0266467400001735

R. Stoica, Processus ponctuels pour l'extraction de réseaux linéiques dans les images satellitaires et aériennes, 2001.

. Strigul, SCALING FROM TREES TO FORESTS: TRACTABLE MACROSCOPIC EQUATIONS FOR FOREST DYNAMICS, Ecological Monographs, vol.64, issue.4, pp.523-545, 2008.
DOI : 10.2307/1941119

. Suárez, Use of airbornelidar and aerialphotography in the estimation of individualtreeheights in forestry, Computers and Geosciences, issue.2, pp.31253-262, 2005.

. Tanaka, Coastal vegetation structures and their functions in tsunami protection: experience of the recent Indian Ocean tsunami, Landscape and Ecological Engineering, pp.33-45, 2007.
DOI : 10.1007/s11355-006-0013-9

. Valiela, Mangrove Forests: One of the World's Threatened Major Tropical Environments, BioScience, vol.51, issue.10, pp.807-815, 2001.
DOI : 10.1641/0006-3568(2001)051[0807:MFOOTW]2.0.CO;2

D. Véga, C. Véga, and S. Durrieu, 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 Observation and Geoinformation, vol.13, issue.4, pp.646-656, 2011.
DOI : 10.1016/j.jag.2011.04.002

H. Vincent, 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

. Vincent, Accuracy of small footprint airborne LiDAR in its predictions of tropical moist forest stand structure, Remote Sensing of Environment, vol.125, pp.23-33, 2012.
DOI : 10.1016/j.rse.2012.06.019

S. Vincent, L. Vincent, and P. Soille, Watersheds in digital spaces: an efficient algorithm based on immersion simulations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.6, pp.583-598, 1991.
DOI : 10.1109/34.87344

. Warner, Delineation and identification of individual trees in the eastern deciduous forest. In International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry, pp.81-91, 1998.

. West, A general quantitative theory of forest structure and dynamics, Proceedings of the National Academy of Sciences, pp.7040-7045, 2009.
DOI : 10.1073/pnas.0812294106

C. Heipke, Automatic extraction and delineation of single trees from remote sensing data, Machine Vision and Applications, pp.317-330, 2007.

. Zhou, Tree crown detection in high resolution optical and lidar images of tropical forest, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 2010.
DOI : 10.1117/12.865068

URL : https://hal.archives-ouvertes.fr/inria-00534791

. Zhou, Mapping local density of young Eucalyptus plantations by individual tree detection in high spatial resolution satellite images, Forest Ecology and Management, vol.301, 2012.
DOI : 10.1016/j.foreco.2012.10.007

URL : https://hal.archives-ouvertes.fr/hal-00741010

. Zhou, Tree crown detection in high resolution optical images during the early growth stages of Eucalyptus plantations in Brazil, The First Asian Conference on Pattern Recognition, pp.623-627, 2011.
DOI : 10.1109/ACPR.2011.6166666

URL : https://hal.archives-ouvertes.fr/hal-00740973