Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models

Journal of Geophysical Research Atmospheres

Volumn 112, Issue 9, 2007, Pages

  Widlowski, Jean Luc ^a   Taberner, M ^a   Pinty, B ^a   Bruniquel Pinel, V ^b   Disney, M ^c,d   Fernandes, R ^e   Gastellu Etchegorry, J P ^f   Gobron, N ^a   Kuusk, A ^g   Lavergne, T ^a   Leblanc, S ^h   Lewis, P E ^c,d   Martin, E ^f   Mottus M ^g   North, P R J ⁱ   Qin, W ^j   Robustelli, M ^a   Rochdi, N ^e   Ruiloba, R ^b   Soler, C ^k   Thompson, R ^h   Verhoef, W ^l   Verstraete, M M ^a   Xie, D ^m   more..

^a JOINT RESEARCH CENTRE   (Italy)

^b NOVELTIS Parc Technologique du Canal   (France)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d NATURAL ENVIRONMENT RESEARCH COUNCIL   (United Kingdom)

^e CANADA CENTRE FOR REMOTE SENSING   (Canada)

^f CESBIO   (France)

^g TARTU OBSERVATORY   (Estonia)

^h Centre Spatial John H Chapman ^*  (United States)

ⁱ SWANSEA UNIVERSITY   (United Kingdom)

^j SCIENCE SYSTEMS AND APPLICATIONS INC   (United States)

^k INRIA RHÔNE ALPES   (France)

^l NATIONAL AEROSPACE LABORATORY NLR   (Netherlands)

^m BEIJING NORMAL UNIVERSITY   (China)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC MOVEMENTS; ATMOSPHERIC RADIATION; MATHEMATICAL MODELS; RADIATIVE TRANSFER; THREE DIMENSIONAL; TOPOGRAPHY; TRANSPORT PROPERTIES;

CANOPY REFLECTANCE; MODELING; MONTE CARLO ANALYSIS; RADIATIVE TRANSFER; TOPOGRAPHY; VEGETATION;

EID: 34347357734     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006JD007821     Document Type: Article

References (71)

1. Barnsley, M. J., J. J. Settle, M. Cutter, D. Lobb, and F. Teston (2004), The PROBA/CHRIS mission: A low-cost smallsat for hyperspectral, multi-angle, observations of the Earth surface and atmosphere, IEEE Trans. Geosci. Remote Sens., 42, 1512-1520.
2. Bruegge, C. J., N. L. Chrien, R. R. Ando, D. J. Diner, W. A. Abdou, M. C. Helmlinger, S. H. Pilorz, and K. J. Thome (2002), Early validation of the Multi-angle Imaging SpectroRadiometer (MISR) radiometric scale, IEEE Trans. Geosci. Remote Sens., 40, 1477-1492.
3. Bunnik, N. J. J. (1978), The multispectral reflectance of shortwave radiation of agricultural crops in relation with their morphological and optical properties, Tech. Rep. 707, Mededelingen Landbouwhogeschool, Wageningen, Netherlands.
4. Cahalan, R. F., et al. (2005), The international intercomparison of 3D radiation codes (I3RC): Bringing together the most advanced radiative transfer tools for cloudy atmospheres, Bull. Am. Meteorol. Soc., 86, 1275-1293.
5. Cairns, B., A. Lacis, and B. Carlson (2000), Absorption within inhomogeneous clouds and its parameterization in general circulation models, J. Atmos. Sci., 57, 700-714.
6. Campbell, G. S. (1990), Derivation of an angle density function for canopies with ellipsoidal leaf angle distribution, Agric. For. Meteorol., 49, 173-176.
7. Chen, J. M., and J. Cihlar (1995), Plant canopy gap size analysis theory for improving optical measurements of leaf area index, Appl. Opt., 34, 6211-6222.
8. Chen, J. M., J. Liu, S. G. Leblanc, R. Lacaze, and J. L. Roujean (2003), Multi-angular optical remote sensing for assessing vegetation structure and carbon absorption, Remote Sens. Environ., 84, 516-525.
9. Chopping, M. J., A. Rango, K. M. Havstad, F. R. Schiebe, J. C. Ritchie, T. J. Schmugge, A. N. French, L. Su, L. McKee, and R. Davis (2003), Canopy attributes of desert grasslands and transition communities derived from multi-angular airborne imagery, Remote Sens. Environ., 85, 339-354.
10. De Reffye, P., and F. Houllier (1997), Modelling plant growth and architecture: Some recent advances and applications to agronomy and forestry, Curr. Sci., 73, 984-992.
11. Deschamps, P. Y., F.-M. Bréon, M. Leroy, A. Podaire, A. Bricaud, J.-C. Buriez, and G. Sèze (1994), The POLDER mission: Instruments characteristics and scientifc objectives, IEEE Trans. Geosci. Remote Sens., 32, 586-615.
12. Diner, D. J., J. C. Beckert, G. W. Bothwell, and J. I. Rodrigues (2002), Performance of the MISR instrument during its first 20 months in Earth orbit, IEEE Trans. Geosci. Remote Sens., 40, 1449-1466.
13. Dirmeyer, P. A., A. J. Dolman, and N. Sato (1999), The global soil wetness project: A pilot project for global land surface modeling and validation, Bull. Am. Meteorol. Soc., 80, 851-878.
14. Disney, M. I., P. Lewis, and P. R. J. North (2000), Monte Carlo raytracing in optical canopy reflectance modelling, Remote Sens. Rev., 18, 163-196.
15. Disney, M. I., P. Lewis, and P. Saich (2006), 3D modelling of forest canopy structure for remote sensing simulations in the optical and microwave domains, Remote Sens. Environ., 100, 114-132.
16. Fernandes, R. A., S. G. Leblanc, and A. Simic (2003), A multi-scale analytical canopy (MAC) reflectance model based on the angular second order gap size distribution, Proc. Int. Geosci. Remote Sens. Symp., 7, 4431-4433.
17. Gastellu-Etchegorry, J.-P., V. Demarez, V. Pinel, and F. Zagolski (1996), Modeling radiative transfer in heterogeneous 3-D vegetation canopies, Remote Sens. Environ., 58, 131-156.
18. Gastellu-Etchegorry, J.-P., E. Martin, and F. Gascon (2004), Dart: A 3D model for simulating satellite images and studying surface radiation budget, Int. J. Remote Sens., 25, 73-96.
19. Gates, W. L., et al. (1998), An overview of the results of the atmospheric model intercomparison project (AMIP I), Bull. Am. Meteorol. Soc., 73, 1962-1970.
20. Gerard, F. F., and P. R. J. North (1997), Analyzing the effect of structural variability and canopy gaps on forest BRDF using a geometric-optical model, Remote Sens. Environ., 62, 46-62.
21. Gerstl, S. A. W. (1988), Angular reflectance signature of the canopy hotspot in the optical regime, in 4th International Colloquium on Spectral Signatures of Objects in Remote Sensing, Aussois, France, Eur. Space Agency Spec. Publ., ESA SP-287, 129.
22. Gobron, N., B. Pinty, M. M. Verstraete, and Y. Govaerts (1997), A semi-discrete model for the scattering of light by vegetation, J. Geophys. Res., 102, 9431-9446.
23. Gobron, N., et al. (2006), Evaluation of FAPAR products for different canopy radiation transfer regimes: Methodology and results using JRC products derived from SeaWiFS against ground-based estimations, J. Geophys. Res., 111, D13110, doi:10.1029/2005JD006511.
24. Goel, N. S., and D. E. Strebel (1984), Simple beta distribution representation of leaf orientation in vegetation canopies, Agron. J., 76, 800-803.
25. Govaerts, Y., and M. M. Verstraete (1998), Raytran: A Monte Carlo ray tracing model to compute light scattering in three-dimensional heterogeneous media, IEEE Trans. Geosci. Remote Sens., 36, 493-505.
26. Halthore, R. N., et al. (2005), Intercomparison of shortwave radiative transfer codes and measurements, J. Geophys. Res., 110, D11206, doi:10.1029/2004JD005293.
27. Helbert, J., B. Berthelot, and C. Soler (2003), Hyemalis: Un simulateur d'images de paysages tridimensionnels complexes, in Revue Française de Photogrammétrie et de Télédétection, vol. 173/174, pp. 27-35, Soc. Fr. de Photogramm. et de Télédétection, Marne la Vallée, France.
28. Henderson-Sellers, A., A. J. Pitman, P. K. Love, P. Irannejad, and T. Chen (1995), The project for intercomparison of land surface parameterisaton schemes (PILPS): Phases 2 and 3, Bull. Am. Meteorol. Soc., 76, 489-503.
29. Jonckheere, I., B. Muys, and P. Coppin (2005), Assessment of automatic gap fraction estimation of forests from digital hemispherical photography, Agric. For. Meteorol., 132, 96-114.
30. Kneubühler, M., M. Schaepman, K. Thome, F. Baret. and A. Müller (2002), Calibration and validation of Envisat MERIS. Part 1: Vicarious calibration at Rail Road valley Playa (NV), paper presented at MERIS Level 2 validation Workshop, ESRIN, Frascati, Italy, 9-13 Dec.
31. Kuusk, A. (1991), The hot spot effect in plant canopy reflectance, in Photon-Vegetation Interactions, edited by R. Myneni and J. Ross, pp. 139-159, Springer, New York.
32. Kuusk, A. (2001), A two-layer canopy reflectance model, J. Quant. Spectrosc. Radiat. Transfer, 71, 1-9.
33. Kuusk, A., and T. Nilson (2000), A directional multispectral forest reflectance model, Remote Sens. Environ., 72, 244-252.
34. Latif, M., et al. (2001), ENSIP: The El Niño simulation intercomparison project, Clim. Dyn., 18, 255-276.
35. Leblanc, S. G. (2002), Correction to the plant canopy gap size analysis theory used by the Tracing Radiation and Architecture of Canopies (TRAC) instrument, Appl. Opt., 31, 7667-7670.
36. Leblanc, S. G., and J. M. Chen (2001), A windows graphic user interface (GUI) for the five-scale model for fast BRDF simulations, Remote Sens. Rev., 19, 293-305.
37. Leblanc, S. G., J. M. Chen, R. Fernandes, D. W. Deering, and A. Conley (2005), Methodology comparison for canopy structure parameters extraction from digital hemispherical photography in boreal forests, Agric. For. Meteorol., 129, 187-207.
38. Lewis, P. (1999), Three-dimensional plant modelling for remote sensing simulation studies using the botanical plant modelling system, Agron. Agric. Environ., 19, 185-210.
39. Lovell, J. L., and R. D. Graetz (2002), Analysis of POLDER-ADEOS data for the Australian continent: The relationship between BRDF and vegetation structure, Int. J. Remote Sens., 23, 2767-2796.
40. Morisette, J. T., et al. (2006), Validation of global moderate resolution LAI products: A framework proposed within the CEOS Land Product Validation subgroup, IEEE Trans, Geosci. Remote Sens., 44, 1804-1917.
41. North, P. R. J. (1996), Three-dimensional forest light interaction model using a Monte Carlo method, IEEE Trans. Geosci. Remote Sens., 34, 946-956.
42. Oreskes, N., K. Shrader-Frechette, and K. Belitz (1994), Verification, validation, and confirmation of numerical models in the earth sciences, Science, 263, 641-646.
43. Pinty, B., et al. (2001), The Radiation Transfer Model Intercomparison (RAMI) exercise, J. Geophys. Res., 106, 11,937-11,956.
44. Pinty, B., N. Gobron, J.-L. Widlowski, T. Lavergne, and M. M. Verstraete (2004a), Synergy between 1-D and 3-D radiation transfer models to retrieve vegetation canopy properties from remote sensing data, J. Geophys. Res., 109, D21205, doi:10.1029/2004JD005214.
45. Pinty, B., et al. (2004b), The Radiation Transfer Model Intercomparison (RAMI) exercise: Results from the second phase, J. Geophys. Res., 109, D06210, doi:10.1029/2003JD004252.
46. Pinty, B., T. Lavergne, R. E. Dickinson, J.-L. Widlowski, N. Gobron, and M. M. Verstraete (2006), Simplifying the interaction of land surfaces with radiation for relating remote sensing products to climate models, J. Geophys. Res., 111, D02116, doi:10.1029/2005JD005952.
47. Prusinkiewicz, P., and A. Lindenmayer (1990), The Algorithmic Beauty of Plants, 240 pp., Springer, New York.
48. Qin, W., and S. A. W. Gerstl (2000), 3-D scene modeling of semi-desert vegetation cover and its radiation regime, Remote Sens. Environ., 74, 145-162.
49. Qin, W., and Y. Xiang (1997), An analytical model for bidirectional reflectance factor of multicomponent vegetation canopies, Sci. China, Ser. C, 40, 305-315.
50. Rautiainen, M., P. Stenberg, T. Nilson, and A. Kuusk (2003), The effect of crown shape on the reflectance of coniferous stands, Remote Sens. Environ., 89, 41-52.
51. Rochdi, N., R. Fernandes, and M. Chelle (2006), An assessment of needles clumping within shoots when modeling radiative transfer within homogeneous canopies, Remote Sens. Environ., 102, 116-135.
52. Ross, J. (1981), The Radiation Regime and Architecture of Plant Stands, Springer, New York.
53. Saich, P., P. Lewis, M. Disney, and G. Thackrah (2001), Comparison of Hymap/E-SAR data with models for optical reflectance and microwave scattering from vegetation canopies, in 3rd International Symposium on Retrieval of Bio- and Geophysical Parameters From SAR data for Land Applications (LANDSAR 2001), Eur. Space Agency Spec. Publ., ESA-SP 475.
54. Scholes, R. J., P. G. H. Frost, and Y. Tian (2004), Canopy structure in savannas along a moisture gradient on Kalahari sands, Global Change Biol., 10, 292-302, doi:10.1111.
55. Sellers, P. J., et al. (1997), BOREAS in 1997: Experiment overview, scientific results and future directions, J. Geophys. Res., 102, 28,731-28,770.
56. Shultis, J. K., and R. B. Myneni (1989), Radiative transfer in vegetation canopies with anisotropic scattering, J. Quant. Spectrosc. Radiat. Transfer, 39, 115-129.
57. Smolander, S., and P. Stenberg (2005), Simple parameterizations of the radiation budget of uniform broadleaved and coniferous canopies, Remote Sens. Environ., 94, 355-363.
58. Soler, C., and F. Sillion (2000), Hierarchical instantiation for radiosity, in Rendering Techniques '00, edited by B. Peroche and H. Rushmeier, pp. 173-184, Springer, New York.
59. Stricker, N. C. M., A. Hahne, D. L. Smith, and J. Delderfield (1995), ATSR-2: The evolution in its design from ERS-1 to ERS-2, ESA Bull., 83, 32-37.
60. Thompson, R. L., and N. S. Goel (1998), Two models for rapidly calculating bidirectional reflectance: Photon spread (ps) model and statistical photon spread (sps) model, Remote Sens. Rev., 16, 157-207.
61. Tian, Y., Y. Wang, Y. Zhang, Y. Knyazikhin, J. Bogaert, and R. B. Myneni (2002), Radiative transfer based scaling of LAI retrievals from reflectance data of different resolutions, Remote Sens. Environ., 84, 143-159.
62. Verhoef, W. (1998), Theory of radiative transfer models applied to optical remote sensing of vegetation canopies, Ph.D. thesis, Wageningen Agric. Univ., Wageningen, Netherlends.
63. Verhoef, W. (2002), Improved modelling of multiple scattering in leaf canopies: The model SAIL++, in Proceedings of the First Symposium on Recent Advances in Quantitative Remote Sensing, Torrent, Spain, September 2002, edited by A. Sobrino, pp. 11-20, Serv. de Publ. Univ. de Valencia, Valencia, Spain.
64. Verhoef, W., and H. Bach (2003), Simulation of hyperspectral and directional radiance images using coupled biophysical and atmospheric radiative transfer models, Remote Sens. Environ., 87, 23-41.
65. Verstraete, M. M. (1987), Radiation transfer in plant canopies: Transmission of direct solar radiation and the role of leaf orientation, J. Geophys. Res., 92, 10,985-10,995.
66. Verstraete, M. M. (1988), Radiation transfer in plant canopies: Scattering of solar radiation and canopy reflectance, J. Geophys. Res., 93, 9483-9494.
67. Weber, J., and J. Penn (1995), Creation and rendering of realistic trees, in Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques, pp. 119-128, ACM Press, New York.
68. Widlowski, J.-L., B. Pinty, N. Gobron, M. M. Verstraete, and A. B. Davis (2001), Characterization of surface heterogeneity detected at the MISR/ TERRA subpixel scale, Geophys. Res. Lett., 28, 4639-4642.
69. Widlowski, J.-L., B. Pinty, T. Lavergne, M. M. Verstraete, and N. Gobron (2005), Using 1-D models to interpret the reflectance anisotropy of 3-D canopy targets: Issues and caveats, IEEE Trans. Geosci. Remote Sens., 43, 2008-2017, doi:10.1109/TGRS.2005.853718.
70. Widlowski, J.-L., T. Lavergne, B. Pinty, M. M. Verstraete, and N. Gobron (2006a), Rayspread: A virtual laboratory for rapid BRF simulations over 3-D plant canopies, in Computational Methods in Transport, Lecture Notes in Comput. Sci. and Eng. Ser., vol. 49, edited by G. Frank, pp. 211-231, Springer, New York.
71. Widlowski, J.-L., B. Pinty, T. Lavergne, M. M. Verstraete, and N. Gobron (2006b), Horizontal radiation transport in 3-D forest canopies at multiple spatial resolutions: Simulated impact on canopy absorption, Remote Sens. Environ., 103, 379-397, doi:10.1016 /j.rse.2006.03.014.