C. Atzberger, Development of an invertible forest reflectance model: The INFORmodel, Proceedings of the 20th EARSeL Symposium Dresden, pp.39-44, 2000.

D. Biliouris, W. W. Verstraeten, P. Dutré, J. A. Van-aardt, B. Muys et al., A Compact Laboratory Spectro-Goniometer (CLabSpeG) to assess the BRDF of materials. Presentation, calibration and implementation on Fagus sylvatica L. leaves, Sensors, vol.7, pp.1846-1870, 2007.

S. Bojinski, M. M. Verstraete, T. C. Peterson, C. Richter, A. Simmons et al., The concept of essential climate variables in support of climate research, applications, and policy, Bulletin of the American Meteorological Society, 2014.

L. Bousquet, S. Lachérade, S. Jacquemoud, and I. Moya, Leaf BRDF measurements and model for specular and diffuse components differentiation. Remote Sensing of Environment, vol.98, pp.201-211, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00310549

T. W. Brakke, J. A. Smith, and J. M. Harnden, Bidirectional scattering of light from tree leaves, Remote Sensing of Environment, vol.29, pp.175-183, 1989.

H. T. Breece and R. A. Holmes, Bidirectional scattering characteristics of healthy green soybean and corn leaves in vivo, Applied Optics, vol.10, pp.119-127, 1971.

C. J. Bruegge, N. L. Chrien, R. R. Ando, D. J. Diner, W. A. Abdou et al., Early validation of the multi-angle imaging spectroradiometer (MISR) radiometric scale, IEEE Transactions on Geoscience and Remote Sensing, vol.40, pp.1477-1492, 2002.

M. Chelle, Could plant leaves be treated as Lambertian surfaces in dense crop canopies to estimate light absorption? Ecological Modelling, vol.198, pp.219-228, 2006.

M. Claverie, E. Vermote, M. Weiss, F. Baret, O. Hagolle et al., Validation of coarse spatial resolution LAI and FAPAR time series over cropland in southwest France, Remote Sensing of Environment, vol.139, pp.216-230, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01315422

J. Côté, R. A. Fournier, and M. M. Verstraete, Canopy architectural models in support of methods using hemispherical photography, Hemispherical photography for forest science: Theory, methods and applications, 2015.

M. I. Disney, P. Lewis, M. Bouvet, A. Prieto-blanco, and S. Hancock, Quantifying surface reflectivity for spaceborne lidar via two independent methods, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.10, pp.3262-3271, 2009.

R. Essery, P. Bunting, J. Hardy, T. Link, D. Marks et al., Radiative transfer modeling of a coniferous canopy characterized by airborne remote sensing, Journal of Hydrometeorology, vol.9, issue.2, pp.228-241, 2008.

J. Gastellu-etchegorry, V. Demarez, V. Pinel, and F. Zagolski, Modeling radiative transfer in heterogeneous 3-D vegetation canopies, Remote Sensing of Environment, vol.58, pp.131-156, 1996.
URL : https://hal.archives-ouvertes.fr/ird-00405222

J. 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.25, pp.73-96, 2004.

J. P. Gastellu-etchegorry, T. Yin, N. Lauret, T. Cajgfinger, T. Gregoire et al., Discrete anisotropic radiative transfer (DART 5) for modelling airborne and satellite spectroradiometer and LIDAR acquisitions of natural and urban landscapes, Remote Sensing, vol.7, issue.2, pp.1667-1701, 2015.

, update), supplemental details to the satellitebased component of the implementation plan for the global observing system for climate in support of the UNFCCC, GCOS-154, Global Climate Observing System (GCOS), 2011.

Y. Govaerts, A model of light scattering in three-dimensional plant canopies: A Monte Carlo ray tracing approach, 1995.

Y. M. Govaerts, M. Clerici, and N. Clerbaux, Operational calibration of the meteosat radiometer VIS band, IEEE Transactions on Geoscience and Remote Sensing, vol.42, issue.9, pp.1900-1914, 2004.

V. Haverd, J. L. Lovell, M. Cuntz, D. L. Jupp, G. J. Newnham et al., The Canopy Semi-analytic Pgap And Radiative Transfer (CanSPART) model: Formulation and application, Agricultural and Forest Meteorology, vol.160, pp.14-35, 2012.
URL : https://hal.archives-ouvertes.fr/hal-02643378

D. Helder, K. J. Thome, N. Mishra, G. Chander, X. Xiong et al., Absolute radiometric calibration of landsat using a pseudo invariant calibration site, IEEE Transactions on Geoscience and Remote Sensing, vol.51, issue.3, pp.1360-1369, 2013.

B. N. Holben, T. F. Eck, I. Slutsker, D. Tanré, J. P. Buis et al., AERONET -A federated instrument network and data archive for aerosol characterization, Remote Sensing of Environment, vol.66, pp.1-16, 1998.

H. Huang, M. Chen, and Q. Liu, A realistic structure model for large-scale surface leaving radiance simulation of forest canopy and accuracy assessment, International Journal of Remote Sensing, vol.30, issue.20, pp.5421-5439, 2009.

, Statistical methods for use in proficiency testing by interlaboratory comparisons, International Standard, ISO 13528:2005(E)ISO/TC6-SC6, 2005.

, Statistical methods -Guidelines for the evaluation of conformity with specified requirements -Part 1: General principles. ISO 10576-1:2003(E). Geneva, Switzerland: International Organisation for Standards, pp.10576-10577, 2003.

, Geometrical Product Specification (GPS) -Inspection by measurement of workpieces and measuring equipment. Part 1: Decision rules for providing conformance or non-conformance with specifications, ISO 14253-1:1998(E). Geneva, Switzerland: International Organisation for Standards, 1998.

, Accuracy (trueness and precision) of measurement methods and results (part 1-6 together with corrections), p.5725, 1994.

. Jcgm-100, Evaluation of measurement data -Guide to the expression of uncertainty in measurement (GUM 1995 with minor corrections), JCGM, vol.100, 2008.

, Evaluation of measurement data -Supplement 1 to the Guide to the expression of uncertainty in measurement. Propagation of distributions using a Monte Carlo method, JCGM, vol.101, p.101, 2008.

, Evaluation of measurement data -The role of measurement uncertainty in conformity assessment, JCGM, vol.106, p.106, 2012.

I. Jonckheere, K. Nackaerts, B. Muys, and P. Coppin, Assessment of automatic gap fraction estimation of forests from digital hemispherical photography, Agricultural and Forest Meteorology, vol.132, pp.96-114, 2005.

I. Jonckheere, K. Nackaerts, B. Muys, J. Van-aardt, and P. Coppin, A fractal dimension-based modelling approach for studying the effect of leaf distribution on LAI retrieval in forest canopies, Ecological Modelling, vol.197, pp.179-195, 2006.

S. Kaasalainen and M. Rautiainen, Backscattering measurements from individual Scots pine needles, Applied Optics, vol.46, issue.22, pp.4916-4922, 2007.

H. Kobayashi and H. Iwabuchi, A coupled 1-D atmosphere and 3-D canopy radiative transfer model for canopy reflectance, light environment, and photosynthesis simulation in a heterogeneous landscape, Remote Sensing of Environment, vol.112, pp.173-185, 2008.

B. Kötz, M. Schaepman, F. Morsdorf, P. Bowyer, K. Itten et al., Radiative transfer modeling within a heterogeneous canopy for estimation of forest fire fuel properties, Remote Sensing of Environment, vol.92, pp.332-344, 2004.

A. Kuusk, J. Kuusk, and M. Lang, A dataset for the validation of reflectance models. Remote Sensing of Environment, vol.113, pp.889-892, 2009.

A. Kuusk, J. Kuusk, and M. Lang, Modeling directional forest reflectance with the hybrid type forest reflectance model FRT. Remote Sensing of Environment, vol.149, pp.196-204, 2014.

A. Kuusk, M. Lang, and J. Kuusk, Database of optical and structural data for the validation of forest radiative transfer models, Light Scattering Reviews, pp.109-148, 2013.

A. Kuusk and T. Nilson, A directional multispectral forest reflectance model. Remote Sensing of Environment, vol.72, pp.244-252, 2000.

A. Kuusk, T. Nilson, J. Kuusk, and M. Lang, Reflectance spectra of RAMI forest stands in Estonia: Simulations and measurements. Remote Sensing of Environment, vol.114, pp.2962-2969, 2010.

A. Kuusk, T. Nilson, M. Paas, M. Lang, and J. Kuusk, Validation of the forest radiative transfer model FRT. Remote Sensing of Environment, vol.112, pp.51-58, 2008.

T. Lavergne, T. Kaminski, B. Pinty, M. Taberner, N. Gobron et al., Application to MISR land products of an RPV model inversion package using adjoint and Hessian codes, Remote Sensing of Environment, vol.107, issue.1-2, pp.362-375, 2007.

P. Lewis, Three-dimensional plant modelling for remote sensing simulation studies using the botanical plant modelling system, Agron. Agric. Environment, vol.19, pp.185-210, 1999.
URL : https://hal.archives-ouvertes.fr/hal-00885924

B. Lintermann and O. Deussen, Interactive modelling of plants, IEEE Computer Graphics and Applications, vol.19, issue.1, pp.2-11, 1999.

Q. Liu, H. Huang, W. Qin, K. Fu, and X. Li, An extended 3-D radiosity graphics combined model for studying thermal-emission directionality of crop canopy, IEEE Transactions on Geoscience and Remote Sensing, vol.45, pp.2900-2918, 2007.

L. Lolli, M. Pisani, M. Rajteri, J. Widlowski, A. Bialek et al., PHYTOS: A portable goniometer for in situ spectro-directional measurements of leaves, Metrologia, p.309, 2014.

J. L. Lovell, V. Haverd, D. L. Jupp, and G. J. Newnham, The Canopy Semi-analytic Pgap And Radiative Transfer (CanSPART) model: Validation using ground based lidar, Agricultural and Forest Meteorology, pp.1-12, 2012.

J. Mccorkel, K. Thome, and R. B. Lockwood, Absolute radiometric calibration of narrow-swath imaging sensors with reference to non-coincident wide-swath sensors, IEEE Transactions on Geoscience and Remote Sensing, vol.51, issue.3, pp.1309-1318, 2013.

E. J. Milton, M. E. Schaepman, K. Anderson, M. Kneubühler, and N. Fox, Progress in field spectroscopy, Remote Sensing of Environment, vol.113, pp.92-109, 2007.

F. Morsdorf, B. Kötz, E. Meier, K. I. Itten, and B. Allgöwer, Estimation of LAI and fractional cover from small footprint airborne laser scanning data based on gap fraction, Remote Sensing of Environment, vol.104, issue.1, pp.50-61, 2006.

F. Morsdorf, E. Meier, B. Kötz, K. I. Itten, M. Dobbertin et al., LIDARbased geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management, Remote Sensing of Environment, vol.92, issue.3, pp.353-362, 2004.

M. Mõttus, M. Sulev, and M. Lang, Estimation of crown volume for a geometric radiation model from detailed measurements of tree structure, Ecological Modelling, vol.198, issue.4-5, pp.506-514, 2006.

W. Ni-meister, W. Yang, and N. Y. Kiang, A clumped-foliage canopy radiative transfer model for a global dynamic terrestrial ecosystem model I: Theory. Agricultural Forest Meteorology, vol.150, pp.881-894, 2010.

L. R. Pendrill, Using measurement uncertainty in decision-making and conformity assessment, Metrologia, vol.51, pp.206-218, 2014.

M. Pharr and G. Humphreys, Physically based rendering: From theory to implementation, 1167.

B. Pinty, N. Gobron, J. Widlowski, S. A. Gerstl, M. M. Verstraete et al., The RAdiation transfer Model Intercomparison (RAMI) exercise, Journal of Geophysical Research, vol.106, pp.11937-11956, 2001.

B. Pinty, N. Gobron, J. Widlowski, T. Lavergne, and M. M. Verstraete, Synergy between 1-D and 3-D radiation transfer models to retrieve vegetation canopy properties from remote sensing data, Journal of Geophysical Research, vol.109, 2004.

B. Pinty, J. Widlowski, M. Taberner, N. Gobron, M. M. Verstraete et al., RAdiation transfer Model Intercomparison (RAMI) exercise: Results from the second phase, Journal of Geophysical Research, vol.109, p.6210, 2004.

J. Pisek, M. Lang, T. Nilson, L. Korhonen, and H. Karu, Comparison of methods for measuring gap size distribution and canopy nonrandomness at Järvselja RAMI (RAdiation transfer Model Intercomparison) test sites, Agricultural and Forest Meteorology, vol.151, issue.3, pp.365-377, 2011.

H. Rahman, B. Pinty, and M. M. Verstraete, Coupled surface-atmosphere reflectance (CSAR) model. 2. Semiempirical surface model usable with NOAA Advanced Very High Resolution Radiometer data, Journal of Geophysical Research, vol.98, pp.791-811, 1993.
URL : https://hal.archives-ouvertes.fr/hal-01989883

H. Rahman, M. M. Verstraete, and B. Pinty, Coupled surface-atmosphere reflectance (CSAR) model. 1. Model description and inversion on synthetic data, Journal of Geophysical Research, vol.98, p.789, 1993.
URL : https://hal.archives-ouvertes.fr/hal-01989883

S. R. Sandmeier, Acquisition of bidirectional reflectance factor data with field goniometers. Remote Sensing of Environment, vol.73, pp.257-269, 2000.

M. Schlerf and M. Atzberger, Inversion of a forest reflectance model to estimate structural canopy variables from hyperspectral remote sensing data. Remote Sensing of Environment, vol.100, pp.281-294, 2006.

F. D. Schneider, R. Leiterer, F. Morsdorf, J. Gastellu-etchegorry, N. Lauret et al., Simulating imaging spectrometer data: 3D forest modeling based on LiDAR and in situ data, Remote Sensing of Environment, vol.152, pp.235-250, 2014.

S. Smolander and P. Stenberg, A method to account for shoot scale clumping in coniferous canopy reflectance models. Remote Sensing of Environment, vol.88, pp.363-373, 2003.

B. Somers, S. Delalieux, W. W. Verstraeten, and P. Coppin, A conceptual framework for the simultaneous extraction of sub-pixel spatial extent and spectral characteristics of crops, Photogrammetric Engineering and Remote Sensing, vol.75, pp.57-68, 2009.

K. D. Sommer and M. Kochsiek, Role of measurement uncertainty in deciding conformance in legal metrology, OIML Bulletin, vol.XLIII, issue.2, pp.19-24, 2002.

P. Stenberg, S. Palmroth, B. J. Bond, D. G. Sprugel, and H. Smolander, Shoot structure and photosynthetic efficiency along the light gradient in a Scots pine canopy, Tree Physiology, vol.21, pp.805-814, 2001.

J. Stuckens, B. Somers, S. Delalieux, W. W. Verstraeten, and P. Coppin, The impact of common assumptions on canopy radiative transfer simulations: A casestudy in citrus orchards, Journal of Quantitative Spectroscopy, 2009.

K. J. Thome, K. Arai, S. Tsuchida, and S. F. Biggar, Vicarious calibration of ASTER via the reflectance-based approach, IEEE Transactions on Geoscience and Remote Sensing, vol.46, pp.3285-3295, 2008.

Y. Wang, J. Czapla-myers, A. Lyapustin, K. Thome, and E. Dutton, Aeronet-based surface reflectance validation network (ASRVN) data evaluation: Case study for railroad valley calibration site. Remote Sensing Of Environment, vol.115, pp.2710-2717, 2011.

J. Weber and J. Penn, Creation and rendering of realistic trees, SIGGRAPH '95, Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, pp.0-89791, 1995.

J. Widlowsk, B. Pinty, M. Clerici, Y. Dai, M. De-kauwe et al., RAMI4PILPS: An intercomparison of formulations for the partitioning of solar radiation in land surface models, Journal of Geophysical Research, vol.116, 2011.

J. Widlowski, On the bias of instantaneous FAPAR estimates in open-canopy forests, Agricultural and Forest Meteorology, vol.150, pp.1501-1522, 2010.

J. Widlowski, Conformity testing in view of regulatory uses of satellite-derived quantitative surface variables, Environmental Science and Policy, vol.51, pp.149-169, 2015.

J. Widlowski, T. Lavergne, B. Pinty, M. M. Verstraete, and N. Gobron, Rayspread: A virtual laboratory for rapid BRF simulations over 3-D plant canopies, Computational Methods in Transport. Lecture Notes in Computational Science and Engineering Series, vol.10, pp.3-540, 2006.

J. Widlowski, B. Pinty, M. Lopatka, C. Atzberger, D. Buzica et al., The 4th Radiative Transfer Model Intercomparison (RAMI-IV): Proficiency testing of canopy reflectance models with ISO-13528, Journal of Geophysical Research -Atmospheres, 2013.

J. Widlowski, M. Robustelli, M. Disney, J. Gastellu-etchegorry, T. Lavergne et al., The RAMI On-line Model Checker (ROMC): A web-based benchmarking facility for canopy reflectance models, Remote Sensing of Environment, vol.112, issue.3, pp.1144-1150, 2007.
URL : https://hal.archives-ouvertes.fr/ird-00405041

J. Widlowski, M. Taberner, B. Pinty, V. Bruniquel-pinel, M. Disney et al., The third RAdiation transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance modeling, Journal of Geophysical Research, vol.112, 2007.

W. Yang, W. Ni-meister, N. Y. Kiang, P. Moorcraft, A. H. Strahler et al., A clumped-foliage canopy radiative transfer model for a global dynamic terrestrial ecosystem model II: Validation, Agricultural Forest Meteorology, vol.150, pp.895-907, 2010.

T. Zenone, M. Migliavacca, L. Montagnani, G. Seufert, and R. Valentini, Carbon sequestration in short rotation forestry and traditional poplar plantation, Proceedings of the Short Rotation Crops International Conference, 2008.

F. Zhao, X. Gu, W. Verhoef, Q. Wang, T. Yu et al., A spectral directional reflectance model of row crops, Remote Sensing of Environment, vol.114, issue.2, pp.265-285, 2010.