J. S. Aber, I. Marzoll, and J. B. Ries, Small-Format Aerial Photography : Principles, Techniques and Geoscience Applications, 2010.

F. J. Aguilar, J. P. Mills, J. Delgado, M. A. Aguilar, J. G. Negreiros et al., Modelling vertical error in LiDAR-derived digital elevation models, ISPRS Journal of Photogrammetry and Remote Sensing, vol.65, issue.1, pp.103-110000274448200010, 2010.
DOI : 10.1016/j.isprsjprs.2009.09.003

K. Anderson and K. J. Gaston, Lightweight unmanned aerial vehicles will revolutionize spatial ecology, Frontiers in Ecology and the Environment, vol.11, issue.3, pp.138-146, 2013.
DOI : 10.1016/j.rse.2011.10.007

E. Assman, H?henbonit?t und wirkliche Ertragsleistung, Forstwissenschaftliches Centralblatt, vol.78, issue.1-2, pp.1-64, 1959.
DOI : 10.1007/BF01822164

E. Baltsavias, A. Gruen, H. Eisenbeiss, L. Zhang, and L. T. Waser, High?quality image matching and automated generation of 3D tree models, International Journal of Remote Sensing, vol.36, issue.5, pp.1243-1259, 2008.
DOI : 10.1080/01431160701736513

E. P. Baltsavias, A comparison between photogrammetry and laser scanning, ISPRS Journal of Photogrammetry and Remote Sensing, vol.54, issue.2-3, pp.83-94, 1999.
DOI : 10.1016/S0924-2716(99)00014-3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

Y. Bastien and C. Gauberville, Vocabulaire forestier -Écologie, gestion et conservation des espaces boisés, 2011.

Y. Bastien and G. Wilhelm, Une sylviculture d'arbres pour produire des gros bois de qualit??., Revue Foresti??re Fran??aise, issue.5, pp.407-424, 2000.
DOI : 10.4267/2042/5376

P. J. Besl and N. D. Mckay, A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.2, pp.239-256, 1992.
DOI : 10.1109/34.121791

T. Blaschke, Object based image analysis for remote sensing. ISPRS journal of photogrammetry and remote sensing, pp.2-16, 2010.

J. Bohlin, J. Wallerman, and J. E. Fransson, Forest variable estimation using photogrammetric matching of digital aerial images in combination with a high-resolution DEM, Scandinavian Journal of Forest Research, vol.87, issue.4, pp.692-699, 2012.
DOI : 10.1080/01431160701469040

S. Bonnet, F. Toromanoo, S. Bauwens, A. Michez, L. Dedry et al., Principes de base de la télédétection et ses potentialités comme outil de caractérisation de la ressource forestière ? II. LiDAR aérien, Forêt Wallonne, vol.124, pp.28-41, 2013.

B. Burkholder, A. Warner, T. Culp, M. Landenberger, and R. , Seasonal Trends in Separability of Leaf Reflectance Spectra for Ailanthus altissima and Four Other Tree Species, Photogrammetric Engineering & Remote Sensing, vol.77, issue.8, pp.793-804, 2011.
DOI : 10.14358/PERS.77.8.793

F. S. Chapin, G. P. Koonas, and C. Folke, A frameword for understanding change, Principles of Ecosystem Stewardship : Resilience-Based Natural Ressource Management in a Changing World, pp.3-27, 2009.

B. Cole, J. Mcmorrow, and M. Evans, Spectral monitoring of moorland plant phenology to identify a temporal window for hyperspectral remote sensing of peatland, ISPRS Journal of Photogrammetry and Remote Sensing, vol.90, pp.49-58, 2014.
DOI : 10.1016/j.isprsjprs.2014.01.010

I. Colomina and P. Molina, Unmanned aerial systems for photogrammetry and remote sensing: A review, ISPRS Journal of Photogrammetry and Remote Sensing, vol.92, pp.79-97, 2014.
DOI : 10.1016/j.isprsjprs.2014.02.013

URL : http://doi.org/10.1016/j.isprsjprs.2014.02.013

P. Corona and L. Fattorini, Area-based lidar-assisted estimation of forest standing volume, Canadian Journal of Forest Research, vol.38, issue.11, pp.2911-2916, 2008.
DOI : 10.1139/X08-122

J. P. Dandois and E. C. Ellis, Remote Sensing of Vegetation Structure Using Computer Vision, Remote Sensing, vol.49, issue.4, pp.1157-1176, 2010.
DOI : 10.1890/08-2022.1

URL : http://doi.org/10.3390/rs2041157

J. P. Dandois and E. C. Ellis, High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision, Remote Sensing of Environment, vol.136, pp.259-276, 2013.
DOI : 10.1016/j.rse.2013.04.005

D. Saint-vaulry and M. , A la recherche d'une autre silviculture : l'individualisation précoce des arbres d'avenir. Revue Forestière Française, 1969.

M. Drauschke, J. Bartelsen, and P. Reidelstuerz, Towards UAV-based forest monitoring, Proceedings of the Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, pp.21-32, 2014.

R. O. Dubayah and J. B. Drake, Lidar remote sensing for forestry, Journal of Forestry, vol.98, issue.6, pp.44-46, 2000.

R. Dunford, K. Michel, M. Gagnage, H. Piegay, and M. Tremelo, Potential and constraints of Unmanned Aerial Vehicle technology for the characterization of Mediterranean riparian forest, International Journal of Remote Sensing, vol.29, issue.19, pp.4915-4935, 2009.
DOI : 10.1080/01431160701352113

URL : https://hal.archives-ouvertes.fr/halshs-00456978

E. R&d and T. P. , CloudCompare (version 2.4) [GPL software, 2014.

H. Eisenbeiss, Z. Eth, and . Url, UAV photogrammetry, 2009.

R. J. Etten, raster : Geographic analysis and modeling with raster data. R package version 2, pp.2-31, 2014.

R. Finn and D. Wright, Unmanned aircraft systems: Surveillance, ethics and privacy in civil applications, Computer Law & Security Review, vol.28, issue.2, pp.184-194, 2012.
DOI : 10.1016/j.clsr.2012.01.005

M. A. Fonstad, J. T. Dietrich, B. C. Courville, J. L. Jensen, and P. E. Carbonneau, Topographic structure from motion: a new development in photogrammetric measurement, Earth Surface Processes and Landforms, vol.35, issue.2, pp.421-430, 2013.
DOI : 10.1002/esp.3366

R. Genuer, J. Poggi, and C. Tuleau-malot, Variable selection using random forests, Pattern Recognition Letters, vol.31, issue.14, pp.2225-2236, 2010.
DOI : 10.1016/j.patrec.2010.03.014

URL : https://hal.archives-ouvertes.fr/hal-00755489

S. Getzin, R. S. Nuske, and K. Wiegand, Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests, Remote Sensing, vol.4, issue.8, pp.6988-7004, 2014.
DOI : 10.3390/rs6086988

URL : http://doi.org/10.3390/rs6086988

R. Gini, Use of unmanned aerial systems for multispectral survey and tree classiication : a test in a park area of northern italy, European Journal of Remote Sensing, pp.251-269, 2014.

A. Gruen, Development and Status of Image Matching in Photogrammetry, The Photogrammetric Record, vol.60, issue.3, pp.36-57, 2012.
DOI : 10.1111/j.1477-9730.2011.00671.x

N. Haala, Comeback of digital image matching, In : Photogrammetric Week, vol.9, pp.289-301, 2009.

P. Hardin and R. Jensen, Small-Scale Unmanned Aerial Vehicles in Environmental Remote Sensing: Challenges and Opportunities, GIScience & Remote Sensing, vol.47, issue.9, pp.99-111, 2011.
DOI : 10.1016/j.paerosci

J. N. Heinzel, H. Weinacker, and B. Koch, Full automatic detection of tree species based on delineated single tree crowns?a data fusion approach for airborne laser scanning data and aerial photographs, Proceedings of SilviLaser 2008, 2008.

R. Hill, A. Wilson, M. George, and S. Hinsley, Mapping tree species in temperate deciduous woodland using time-series multi-spectral data, Applied Vegetation Science, vol.61, issue.(Suppl. 2), pp.86-99, 2010.
DOI : 10.1111/j.1654-109X.2009.01053.x

M. E. Hodgson, J. Jensen, G. Raber, J. Tullis, B. A. Davis et al., An Evaluation of Lidar-derived Elevation and Terrain Slope in Leaf-off Conditions, Photogrammetric Engineering & Remote Sensing, vol.71, issue.7, p.817, 2005.
DOI : 10.14358/PERS.71.7.817

E. Honkavaara, R. Arbiol, L. Markelin, L. Martinez, M. Cramer et al., Digital Airborne Photogrammetry???A New Tool for Quantitative Remote Sensing????A State-of-the-Art Review On Radiometric Aspects of Digital Photogrammetric Images, Remote Sensing, vol.62, issue.4, pp.577-6052072, 2009.
DOI : 10.14358/PERS.75.2.193

H. Huang, P. Gong, X. Cheng, N. Clinton, and Z. Li, Improving Measurement of Forest Structural Parameters by Co-Registering of High Resolution Aerial Imagery and Low Density LiDAR Data, Sensors, vol.2, issue.3, pp.1541-1558, 2009.
DOI : 10.3390/s90301541

E. R. Hunt, W. D. Hively, S. J. Fujikawa, D. S. Linden, C. S. Daughtry et al., Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring, Remote Sensing, vol.3, issue.1, pp.290-3052072, 2010.
DOI : 10.1017/S1466046606060224

C. Husson, B. Scala, O. Caël, P. Frey, N. Feau et al., Chalara fraxinea is an invasive pathogen in France, European Journal of Plant Pathology, vol.55, issue.3, pp.311-324, 2011.
DOI : 10.1007/s10658-011-9755-9

URL : https://hal.archives-ouvertes.fr/hal-01136967

J. Hyyppä, H. Hyyppä, D. Leckie, F. Gougeon, X. Yu et al., Review of methods of small?footprint airborne laser scanning for extracting forest inventory data in boreal forests, International Journal of Remote Sensing, vol.4035, issue.5, pp.1339-1366, 2008.
DOI : 10.1016/S0034-4257(03)00139-1

M. Immitzer, C. Atzberger, and T. Koukal, Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data, Remote Sensing, vol.28, issue.12, pp.2661-2693, 2012.
DOI : 10.3390/rs4092661

URL : http://doi.org/10.3390/rs4092661

A. Jaakkola, J. Hyyppä, A. Kukko, X. Yu, H. Kaartinen et al., A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements, ISPRS Journal of Photogrammetry and Remote Sensing, vol.65, issue.6, pp.514-522, 2010.
DOI : 10.1016/j.isprsjprs.2010.08.002

D. Jaskierniak, P. N. Lane, A. Robinson, A. Lucieer, and . Feb, Extracting LiDAR indices to characterise multilayered forest structure using mixture distribution functions, Remote Sensing of Environment, vol.115, issue.2, pp.573-585, 2011.
DOI : 10.1016/j.rse.2010.10.003

J. Järnstedt, A. Pekkarinen, S. Tuominen, C. Ginzler, M. Holopainen et al., Forest variable estimation using a high-resolution digital surface model, ISPRS Journal of Photogrammetry and Remote Sensing, vol.74, pp.78-84, 2012.
DOI : 10.1016/j.isprsjprs.2012.08.006

M. Kasser and Y. Egels, Digital Photogrammetry, 2002.
DOI : 10.4324/9780203305959

P. Kempeneers, L. Bertels, K. Vreys, and J. Biesemans, Geometric Errors of Remote Sensing Images Over Forest and Their Propagation to Bidirectional Studies, IEEE Geoscience and Remote Sensing Letters, vol.10, issue.6, pp.1459-1463, 2013.
DOI : 10.1109/LGRS.2013.2260129

P. Kempeneers, F. Sedano, L. Seebach, P. Strobl, and J. San-miguel-ayanz, Data Fusion of Different Spatial Resolution Remote Sensing Images Applied to Forest-Type Mapping, IEEE Transactions on Geoscience and Remote Sensing, vol.49, issue.12, pp.4977-4986, 2011.
DOI : 10.1109/TGRS.2011.2158548

T. Key, T. A. Warner, J. B. Mcgraw, and M. A. Fajvan, A Comparison of Multispectral and Multitemporal Information in High Spatial Resolution Imagery for Classification of Individual Tree Species in a Temperate Hardwood Forest, Remote Sensing of Environment, vol.75, issue.1, pp.100-112, 2001.
DOI : 10.1016/S0034-4257(00)00159-0

F. Kitahara, N. Mizoue, S. Yoshida, B. Koch, M. Dees et al., EEects of training for inexperienced surveyors on data quality of tree diameter and height measurements URL http://www.metla.fi/silvafennica/full/sf44/ sf444657 Forestry applications Advances in photogrammetry, remote sensing and spatial information sciences, Silva Fennica, vol.44, issue.4, pp.657-667, 2008.

L. P. Koh and S. A. Wich, Dawn of Drone Ecology: Low-Cost Autonomous Aerial Vehicles for Conservation, Tropical Conservation Science, vol.74, issue.2, pp.121-132, 2012.
DOI : 10.1177/194008291200500202

K. Kraus, W. Karel, C. Briese, and G. Mandlburger, Local accuracy measures for digital terrain models, The Photogrammetric Record, vol.339, issue.72, pp.342-354, 2006.
DOI : 10.1109/38.204967

A. S. Laliberte, C. Winters, and A. Rango, UAS remote sensing missions for rangeland applications, Geocarto International, vol.72, issue.2, pp.141-156, 2011.
DOI : 10.1109/TGRS.2008.2006505

M. Larjavaara and H. C. Mullerlandau, Measuring tree height: a quantitative comparison of two common field methods in a moist tropical forest, Methods in Ecology and Evolution, vol.102, issue.9, pp.793-801, 2013.
DOI : 10.1111/2041-210X.12071

T. Läbe and W. Förstner, Geometric stability of low-cost digital consumer cameras, Proceedings of the 20th ISPRS Congress, pp.528-535, 2004.

J. R. Lehmann, F. Nieberding, T. Prinz, and C. Knoth, Analysis of Unmanned Aerial System-Based CIR Images in Forestryâ? " A New Perspective to Monitor Pest Infestation Levels, pp.594-612, 2015.

P. Lejeune, Modélisation de la croissance et du développement de peuplements forestiers d'âges multiples : application à la hêtraie wallonne, Thèse de doctorat, 1994.

P. Lejeune, T. Gheysen, and J. Rondeux, Les inventaires forestiers en futaie feuillue : Quelles méthodes pour quels objectifs ? Forêt Wallonne 93, pp.16-24, 2008.

A. Liaw and M. Wiener, Classiication and regression by randomForest, pp.18-22, 2002.

K. Lim, P. Treitz, M. Wulder, B. St-onge, and M. Flood, LiDAR remote sensing of forest structure, Progress in Physical Geography, vol.27, issue.1, pp.88-106, 2003.
DOI : 10.1191/0309133303pp360ra

S. Y. Lin, J. P. Muller, J. P. Mills, and P. E. Miller, An assessment of surface matching for the automated co-registration of MOLA, HRSC and HiRISE DTMs, Earth and Planetary Science Letters, vol.294, issue.3-4, pp.520-533, 2010.
DOI : 10.1016/j.epsl.2009.12.040

J. Linchant, J. Lisein, J. Semeki, P. Lejeune, and C. Vermeulen, Are unmanned aircraft systems (uas) the future of wildlife monitoring ? a review of accomplishments and challenges, Mammal Review, 2015.

E. Lindberg and M. Hollaus, Comparison of Methods for Estimation of Stem Volume, Stem Number and Basal Area from Airborne Laser Scanning Data in a Hemi-Boreal Forest, Remote Sensing, vol.19, issue.12, pp.1004-1023, 2012.
DOI : 10.3390/rs4041004

J. Lisein, J. Linchant, P. Lejeune, P. Bouché, and C. Vermeulen, Aerial Surveys Using an Unmanned Aerial System (UAS): Comparison of Different Methods for Estimating the Surface Area of Sampling Strips, Tropical Conservation Science, vol.38, issue.4, pp.506-520, 2013.
DOI : 10.1177/194008291300600405

J. Lisein, M. Pierrot-deseilligny, S. Bonnet, and P. Lejeune, A photogrammetric workkow for the creation of a forest canopy height model from small unmanned aerial system imagery, pp.922-944, 2013.

J. Lisein, N. Pineux, M. Pierrot-deseilligny, A. Degré, and P. Lejeune, Détection de l'érosion dans un bassin versant agricole par comparaison d'images multidates acquises par drone, pp.1-9, 2014.

B. Lowe and D. , Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

J. López, G. Jiménez, M. Romero, E. García, S. Martín et al., 3D modelling in archaeology: The application of Structure from Motion methods to the study of the megalithic necropolis of Panoria (Granada, Spain), Journal of Archaeological Science: Reports, vol.10, 2016.
DOI : 10.1016/j.jasrep.2016.11.022

M. Maltamo, K. Eerikäinen, P. Packalén, and H. Hyyppä, Estimation of stem volume using laser scanning-based canopy height metrics, Forestry, vol.79, issue.2, pp.217-229, 2006.
DOI : 10.1093/forestry/cpl007

G. Masaitis and G. Mozgeris, The innuence of the growing season on the spectral reeectance properties of forest tree species, Research for Rural Development, pp.20-26, 2013.

A. Michez, H. Piégay, J. Lisein, H. Claessens, and P. Lejeune, Mapping of riparian invasive species with supervised classification of Unmanned Aerial System (UAS) imagery, International Journal of Applied Earth Observation and Geoinformation, vol.44, pp.88-94, 2016.
DOI : 10.1016/j.jag.2015.06.014

A. Michez, H. Piégay, J. Lisein, H. Claessens, and P. Lejeune, Classiication of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system, Environmental monitoring and assessment, vol.188, issue.146 2, 2016.

N. Miura and S. D. Jones, Characterizing forest ecological structure using pulse types and heights of airborne laser scanning, Remote Sensing of Environment, vol.114, issue.5, pp.1069-1076000275780800012, 2010.
DOI : 10.1016/j.rse.2009.12.017

B. Mora, M. A. Wulder, G. W. Hobart, J. C. White, C. W. Bater et al., Forest inventory stand height estimates from very high spatial resolution satellite imagery calibrated with lidar plots, International Journal of Remote Sensing, vol.84, issue.12, pp.4406-4424, 2013.
DOI : 10.5589/m08-066

T. Motohka, K. Nasahara, H. Oguma, and S. Tsuchida, Applicability of Green-Red Vegetation Index for Remote Sensing of Vegetation Phenology, Remote Sensing, vol.47, issue.10, pp.2369-2387, 2010.
DOI : 10.1016/S0034-4257(02)00135-9

W. Nijland, R. De-jong, S. M. De-jong, M. A. Wulder, C. W. Bater et al., Monitoring plant condition and phenology using infrared sensitive consumer grade digital cameras, Agricultural and Forest Meteorology, vol.184, pp.98-106, 2014.
DOI : 10.1016/j.agrformet.2013.09.007

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

E. Naesset, T. Gobakken, J. Holmgren, H. Hyyppä, J. Hyyppä et al., Laser scanning of forest resources : the nordic experience Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables, Scandinavian Journal of Forest Research ISPRS Journal of Photogrammetry and Remote Sensing, vol.19, issue.83, pp.482-499, 2004.

C. Otoul, Contribution à l'étude de la productivité du chêne rouvre en ardenne (région de wellin), Annales de Gembloux, vol.4, issue.4, pp.237-248, 1978.

M. M. Ouédraogo, A. Degré, C. Debouche, and J. Lisein, The evaluation of unmanned aerial system-based photogrammetry and terrestrial laser scanning to generate DEMs of agricultural watersheds, Geomorphology, vol.214, pp.339-355, 2014.
DOI : 10.1016/j.geomorph.2014.02.016

N. Paparoditis, I. Baghli, and C. Thom, Reconstruction de modèles numériques de surfaces en zone urbaine à partir de prises de vues aériennes numériques à fort recouvrement, pp.27-33, 2000.

L. Pénard, N. Paparoditis, and M. Pierrot-deseilligny, Reconstruction 3d automatique de façades de bâtiments en multi-vues, Actes de la Conférence Reconnaissance des Formes et Intelligence Artiicielle, p.10, 2006.

M. Pierrot-deseilligny, Micmac documentation : MicMac, apero, pastis and other beverages in a nutshell ! URL, 2016.

M. Pierrot-deseilligny and I. Clery, Apero, an open source bundle adjustment software for automatic calibration and orientation of set of images, Proceedings of the ISPRS Symposium, 3DARCH11, pp.1-8, 2011.

M. Pierrot-deseilligny and I. Clery, Évolutions récentes en photogrammétrie et modélisation 3d par photo des milieux naturels, Collection EDYTEM, vol.12, pp.51-64, 2011.

M. Pierrot-deseilligny and N. Paparoditis, A multiresolution and optimizationbased image matching approach : An application to surface reconstruction from SPOT5-HRS stereo imagery, Int. Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.36, issue.1, 2006.

A. Pinte, Imagerie optique aérienne et terrestre -Introduction au positionnement et à l'imagerie, 2014.

S. Puliti, H. O. Ørka, T. Gobakken, and E. Naesset, Inventory of Small Forest Areas Using an Unmanned Aerial System, Remote Sensing, vol.22, issue.8, pp.2072-42929632, 2015.
DOI : 10.3390/rs2030819

URL : http://doi.org/10.3390/rs70809632

F. Remondino, L. Barazzetti, F. Nex, M. Scaioni, and D. Sarazzi, UAV PHOTOGRAMMETRY FOR MAPPING AND 3D MODELING ??? CURRENT STATUS AND FUTURE PERSPECTIVES, Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 38, 1. URL http://www.isprs.org/PROCEEDINGS/XXXVIII, pp.1-22, 2011.
DOI : 10.5194/isprsarchives-XXXVIII-1-C22-25-2011

F. Remondino and C. Fraser, Digital camera calibration methods : considerations and comparisons. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.36, issue.5, pp.266-272, 2006.

S. E. Reutebuch, R. J. Mcgaughey, H. Andersen, and W. W. Carson, Accuracy of a high-resolution lidar terrain model under a conifer forest canopy, Canadian Journal of Remote Sensing, vol.54, issue.11, pp.527-535, 2003.
DOI : 10.5589/m03-022

J. Rondeux, La mesure des arbres et des peuplements forestiers, 1999.

S. Roy and I. J. Cox, A maximum--ow formulation of the n-camera stereo correspondence problem, Sixth International Conference on, pp.492-499, 1998.

N. Snavely, S. M. Seitz, and R. Szeliski, Modeling the World from Internet Photo Collections, International Journal of Computer Vision, vol.17, issue.2, pp.189-210, 2008.
DOI : 10.1007/s11263-007-0107-3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

B. Somers and G. P. Asner, Multi-temporal hyperspectral mixture analysis and feature selection for invasive species mapping in rainforests, Remote Sensing of Environment, vol.136, pp.14-27, 2013.
DOI : 10.1016/j.rse.2013.04.006

R. Sripada, R. Heiniger, J. White, and A. Meijer, Aerial Color Infrared Photography for Determining Early In-Season Nitrogen Requirements in Corn, Agronomy Journal, vol.98, issue.4, pp.968-977, 2006.
DOI : 10.2134/agronj2005.0200

B. St-onge, J. Jumelet, M. Cobello, and C. Véga, Measuring individual tree height using a combination of stereophotogrammetry and lidar, Canadian Journal of Forest Research, vol.34, issue.10, pp.2122-2130, 2004.
DOI : 10.1139/x04-093

B. St-onge, C. Vega, R. A. Fournier, and Y. Hu, Mapping canopy height using a combination of digital stereo?photogrammetry and lidar, International Journal of Remote Sensing, vol.72, issue.11, pp.3343-3364, 2008.
DOI : 10.5589/m03-032

K. Steinmann, D. Mandallaz, C. Ginzler, and A. Lanz, Small area estimations of proportion of forest and timber volume combining Lidar data and stereo aerial images with terrestrial data, Scandinavian Journal of Forest Research, vol.36, issue.3, pp.373-385, 2013.
DOI : 10.2307/1941935

A. Stumpf and N. Kerle, Object-oriented mapping of landslides using Random Forests, Remote Sensing of Environment, vol.115, issue.10, pp.2564-2577, 2011.
DOI : 10.1016/j.rse.2011.05.013

J. Suarez, C. Ontiveros, S. Smith, and S. Snape, Use of airborne LiDAR and aerial photography in the estimation of individual tree heights in forestry, Computers & Geosciences, vol.31, issue.2, pp.253-262, 2005.
DOI : 10.1016/j.cageo.2004.09.015

W. Tao, Y. Lei, and P. Mooney, Dense point cloud extraction from UAV captured images in forest area, Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, pp.389-392, 2011.
DOI : 10.1109/ICSDM.2011.5969071

URL : http://eprints.maynoothuniversity.ie/5882/1/PM-Dense-point.pdf

R. D. Team, R : A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2011.

C. Torresan, A. Berton, F. Carotenuto, S. F. Gennaro, B. Gioli et al., Forestry applications of uavs in europe : a review, International Journal of Remote Sensing, pp.1-21, 2015.

B. Triggs, P. F. Mclauchlan, R. I. Hartley, and A. W. Fitzgibbon, Bundle Adjustment ??? A Modern Synthesis, pp.298-372, 2000.
DOI : 10.1007/3-540-44480-7_21

URL : https://hal.archives-ouvertes.fr/inria-00548290

D. Turner, A. Lucieer, and C. Watson, An automated technique for generating georectiied mosaics from ultra-high resolution unmanned aerial vehicle (UAV) imagery, based on structure from motion (SfM) point clouds, Remote Sensing, vol.45, issue.54, pp.1392-14102072, 1392.

G. Verhoeven, M. Doneus, C. Briese, and F. Vermeulen, Mapping by matching: a computer vision-based approach to fast and accurate georeferencing of archaeological aerial photographs, Journal of Archaeological Science, vol.39, issue.7, pp.2060-2070, 2012.
DOI : 10.1016/j.jas.2012.02.022

C. Vermeulen, P. Lejeune, J. Lisein, P. Sawadogo, and P. Bouché, Unmanned Aerial Survey of Elephants, e54700. URL http, 2013.
DOI : 10.1371/journal.pone.0054700.s001

URL : http://doi.org/10.1371/journal.pone.0054700

C. Véga and B. St-onge, Height growth reconstruction of a boreal forest canopy over a period of 58?years using a combination of photogrammetric and lidar models, Remote Sensing of Environment, vol.112, issue.4, pp.1784-1794, 2008.
DOI : 10.1016/j.rse.2007.09.002

C. Véga and B. St-onge, Mapping site index and age by linking a time series of canopy height models with growth curves, Forest Ecology and Management, vol.257, issue.3, pp.951-959, 2009.
DOI : 10.1016/j.foreco.2008.10.029

L. Wallace, A. Lucieer, C. Watson, and D. Turner, Development of a UAV-LiDAR System with Application to Forest Inventory, Remote Sensing, vol.2, issue.12, pp.1519-1543, 2012.
DOI : 10.3390/rs4061519

L. T. Waser, C. Ginzler, M. Kuechler, E. Baltsavias, and L. Hurni, Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data, Remote Sensing of Environment, vol.115, issue.1, pp.76-85, 2011.
DOI : 10.1016/j.rse.2010.08.006

A. C. Watts, V. G. Ambrosia, and E. A. Hinkley, Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use, Remote Sensing, vol.72, issue.12, pp.1671-1692, 2012.
DOI : 10.3390/rs4061671

A. Wehr and U. Lohr, Airborne laser scanning?an introduction and overview, ISPRS Journal of Photogrammetry and Remote Sensing, vol.54, issue.2-3, pp.68-82, 1999.
DOI : 10.1016/S0924-2716(99)00011-8

J. White, M. Wulder, M. Vastaranta, N. Coops, D. Pitt et al., The Utility of Image-Based Point Clouds for Forest Inventory: A Comparison with Airborne Laser Scanning, Forests, vol.85, issue.3, pp.518-536, 2013.
DOI : 10.4296/cwrj2011-909

J. C. White, N. C. Coops, M. A. Wulder, M. Vastaranta, T. Hilker et al., Remote Sensing Technologies for Enhancing Forest Inventories: A Review, Canadian Journal of Remote Sensing, vol.4, issue.5, pp.619-641, 2016.
DOI : 10.1016/j.isprsjprs.2014.12.013

B. Wolf, P. Dewitt, and B. , Elements of Photogrammetry : with applications in GIS, 2000.

C. Wu, Critical Conngurations For Radial Distortion Self-Calibration, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1-8, 2014.
DOI : 10.1109/cvpr.2014.11

Y. Zhang, J. Xiong, and L. Hao, Photogrammetric processing of low-altitude images acquired by unpiloted aerial vehicles, The Photogrammetric Record, vol.75, issue.5, pp.190-211, 2011.
DOI : 10.1111/j.1477-9730.2011.00641.x

K. G. Zhao, S. Popescu, X. L. Meng, Y. Pang, and M. Agca, Characterizing forest canopy structure with lidar composite metrics and machine learning, Remote Sensing of Environment, vol.115, issue.8, p.000292235400017, 1978.
DOI : 10.1016/j.rse.2011.04.001

X. Zhu and D. Liu, Accurate mapping of forest types using dense seasonal Landsat time-series, ISPRS Journal of Photogrammetry and Remote Sensing, vol.96, pp.1-11, 2014.
DOI : 10.1016/j.isprsjprs.2014.06.012

Z. Zhu and C. Woodcock, Continuous change detection and classification of land cover using all available Landsat data, Remote Sensing of Environment, vol.144, pp.152-171, 2014.
DOI : 10.1016/j.rse.2014.01.011

D. A. Zimble, D. L. Evans, G. C. Carlson, R. C. Parker, S. C. Grado et al., Characterizing vertical forest structure using small-footprint airborne LiDAR, Remote Sensing of Environment, vol.87, issue.2-3, pp.171-182, 2003.
DOI : 10.1016/S0034-4257(03)00139-1