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Canopy Reflectance Model Benchmarking: RAMI and the ROMC

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Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 62))

Summary

Canopy radiative transfer (RT) models simulate radiative transfer processes in the solar domain at or near the Earth’s terrestrial surface, i.e., within plant canopies and over bare soil surfaces. Such models are capable of simulating the transmitted, reflected and absorbed radiation fluxes, as well as, the angular distribution of the reflected light above vegetated surfaces in the optical domain of the solar spectrum. This directional aspect is important since the brightness with which a given canopy target appears in Earth Observation data (pixel) depends not only on the structural and spectral properties of the target area but also on the viewing and illumination geometry at the time of measurement. The quantitative interpretation of remote sensing data thus hinges more and more on the exploitation of RT models: In operational contexts they are used to pre-compute Look-Up-Tables of quantities required by the inversion algorithms, whereas, in off-line applications they may be directly inverted against the measurements to yield sets of state variables that describe the properties of the observed target. In both cases, the accuracy and reliability of the solutions to the inverse problems are determined by the performance of the RT model as well as the remote sensing instrument. Reducing the uncertainty of RT models will thus increase the quality of the information derived from remote sensing data (which is of interest to scientists and policy makers), and augment the reliability of RT model studies in forward mode (which is of interest to space agencies when testing new sensor concepts or mission strategies). This understanding has led to a series of model intercomparison projects (MIP) aiming either to document the spread of currently available simulation models, or, else to assess and benchmark the quality of their simulation results, e.g. (Bull. Am. Meteorol. Soc. 73:1962–1970, 1998; J. Geophys. Res. 106:11937–11956, 2001; J. Geophys. Res. 109:D06210, 2004; J. Geophys. Res. 110, 2005; Bull. Am. Meteorol. Soc. 86:1275–1293, 2005; J. Geophys. Res., 2007). Among these MIPs the RAdiation transfer Model Intercomparison (RAMI) activity focuses on the proper representation of the radiative processes occurring in vegetated environments in the optical domain of the solar spectrum.

Launched for the first time in 1999 the triennial RAMI community exercise encourages the systematic evaluation of canopy reflectance models on a voluntary basis. The first phase of RAMI focused on documenting the spread among radiative transfer simulations over a small set of primarily 1-D canopies (J Geophys Res 106:11937-11956, 2001). The positive response of the various RAMI-1 participants and the subsequent improvements made to a series of RT models promoted the launching of the second phase of RAMI (RAMI-2) in 2002. Here the number of test cases was expanded to focus further on the performance of RT models dealing with structurally complex 3-D plant environments. The main outcomes of RAMI-2 included (1) an increase in the number of participating models, (2) a better agreement between the model simulations in the case of the structurally simple scenes inherited from RAMI-1, and (3) the need to reduce the sometimes substantial differences between some of the 3-D RT models over complex heterogeneous scenes (J. Geophys. Res. 109:D06210, 2004). The latter issue was noted as one of the challenges that future intercomparison activities would have to face if some sort of reliable “surrogate truth” was to be derived for other RT models to be compared against. The third phase of RAMI (RAMI-3) was launched in 2005 and investigated the self-consistency, the relative and — to a limited extend — also the absolute performance of canopy RT models. RAMI-3 showed significant progress in the mutual agreement between RT models when compared to RAMI-2. In particular for 3-D Monte Carlo (MC) models the dispersion between simulated bidirectional reflectance factor (BRF) quantities was less than 1%, which supported the usage of these models in the generation of a “surrogate truth” data set covering all of the RAMI test cases (J. Geophys. Res., 2007). The availability of such a reference data set, in turn, lead to the development of the RAMI on-line model checker (ROMC), an open-access web-based interface allowing model developers and users to evaluate canopy RT models independently via the internet.

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References

  1. 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, Early validation of the multi-angle imaging spectroradiometer (MISR) radiometric scale, IEEE Transactions on Geoscience and Remote Sensing, 40, 1477-1492, 2002.

    Article  Google Scholar 

  2. 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, Canopy attributes of desert grasslands and transition communities derived from multi-angular airborne imagery, Remote Sensing Environment, 85, 339-354, 2003.

    Article  Google Scholar 

  3. Disney, M. I., P. Lewis, and P. R. J. North, Monte Carlo raytracing in optical canopy reflectance modelling, Remote Sensing Reviews, 18, 163-196, 2000.

    Google Scholar 

  4. Gastellu-Etchegorry, J. -P., V. Demarez, V. Pinel, and F. Zagolski, Mod-eling radiative transfer in heterogeneous 3-d vegetation canopies, Remote Sensing of Environment, 58, 131-156, 1996.

    Article  Google Scholar 

  5. Gastellu-Etchegorry, J. -P., E. Martin, and F. Gascon, Dart: A 3D model for simulating satellite images and studying surface radiation budget, International Journal of Remote Sensing, 25, 73-96, 2004.

    Article  Google Scholar 

  6. Gerard, F. F. and P. R. J. North, Analyzing the effect of structural variability and canopy gaps on forest BRDF using a geometric-optical model, Remote Sensing of Environment, 62, 46-62, 1997.

    Article  Google Scholar 

  7. Gerstl, S. A. W., Angular reflectance signature of the canopy hotspot in the optical regime, in 4th Intl. Coll. on Spectral Signatures of Objects in Remote Sensing, Aussois, France, p. 129, ESA report SP-287, 1988.

    Google Scholar 

  8. Gobron, N., B. Pinty, M. M. Verstraete, and Y. Govaerts, A semi-discrete model for the scattering of light by vegetation, Journal of Geophysical Research, 102, 9431-9446, 1997.

    Article  Google Scholar 

  9. Govaerts, Y. and M. M. Verstraete, Raytran: A Monte Carlo ray tracing model to compute light scattering in three-dimensional heterogeneous media, IEEE Transactions on Geoscience and Remote Sensing, 36, 493-505, 1998.

    Article  Google Scholar 

  10. Helbert, J., B. Berthelot, and C. Soler, Hyemalis: Un simulateur d’images de paysages tridimensionnels complexes, in Revue Française de Photogrammétrie et de Télédétection, 173 / 174, pp. 27-35, Société Française de Photogrammétrie et de Télédétection, 2003.

    Google Scholar 

  11. Kneubühler, M., M. Schaepman, K. Thome, F. Baret, and A. Müller, Calibration and validation of Envisat MERIS. Part 1: Vicarious calibra- tion at Rail Road valley Playa (NV), in Proceedings of MERIS level 2 validation Workshop, ESRIN, Frascati, Italy, December 9-13, 2002.

    Google Scholar 

  12. Kuusk, A., The hot spot effect in plant canopy reflectance, in Photon- Vegetation Interactions, edited by R. Myneni and J. Ross, pp. 139-159, Springer, Berlin Heidelberg New York, 1991.

    Google Scholar 

  13. Kuusk, A., A two-layer canopy reflectance model, Journal of Quantitative Spectroscopy and Radiative Transfer, 71, 1-9, 2001.

    Article  Google Scholar 

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

    Article  Google Scholar 

  15. Leblanc, S. G. and J. M. Chen, A windows graphic user interface (GUI) for the five-scale model for fast BRDF simulations, Remote Sensing Reviews, 19, 293-305, 2001.

    Google Scholar 

  16. Lewis, P., Three-dimensional plant modelling for remote sensing simu-lation studies using the botanical plant modelling system, Agronomie - Agriculture and Environment, 19, 185-210, 1999.

    Google Scholar 

  17. Lovell, J. L. and R. D. Graetz, Analysis of POLDER-ADEOS data for the Australian continent: The relationship between BRDF and vegetation structure, International Journal of Remote Sensing, 23, 2767-2796, 2002.

    Article  Google Scholar 

  18. North, P. R. J., Three-dimensional forest light interaction model using a Monte Carlo method, IEEE Transactions on Geoscience and Remote Sensing, 34, 946-956, 1996.

    Article  Google Scholar 

  19. Oreskes, N., K. Shrader-Frechette, and K. Belitz, Verification, validation, and confirmation of numerical models in the earth sciences, Science, 263, 641-646, 1994.

    Article  Google Scholar 

  20. Pinty, B., N. Gobron, J. -L. Widlowski, S. A. W. Gerstl, M. M. Verstraete, M. Antunes, C. Bacour, F. Gascon, J. -P. Gastellu, N. Goel, S. Jacquemoud, P. North, W. Qin, and R. Thompson, The radiation transfer model intercomparison (RAMI) exercise, Journal of Geophysical Research, 106, 11937-11956, 2001.

    Article  Google Scholar 

  21. Pinty, B., J. -L. Widlowski, N. Gobron, and M. M. Verstraete, Uniqueness of Multi-angular Information - Part 1: A surface heterogeneity indicator from MISR, IEEE Transactions on Geoscience and Remote Sensing, 40, 1560-1573, 2002

    Article  Google Scholar 

  22. Pinty, B., J. -L. Widlowski, M. Taberner, N. Gobron, M. M. Verstraete, M. Disney, F. Gascon, J. -P. Gastellu, L. Jiang, A. Kuusk, P. Lewis, X. Li, W. Ni-Meister, T. Nilson, P. North, W. Qin, L. Su, R. Tang, R. Thompson, W. Verhoef, H. Wang, J. Wang, G. Yan, and H. Zang, The radiation transfer model intercomparison (RAMI) exercise: Results from the second phase, Journal of Geophysical Research, 109, D06210, doi:10. 1029/2004JD004252, 2004b.

    Article  Google Scholar 

  23. Pinty, B., N. Gobron, J. -L. 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, 109, D21205, doi:10. 1029/ 2004JD005214, 2004a.

    Article  Google Scholar 

  24. Pinty, B., T. Lavergne, R. E. Dickinson, J. -L. Widlowski, N. Gobron, and M. M. Verstraete, Simplifying the interaction of land surfaces with radiation for relating remote sensing products to climate models, Journal of Geophysical Research, 111 (D02116), D02, 116, doi:10. 1029/ 2005JD005, 952, 2006.

    Article  Google Scholar 

  25. Qin, W. and Y. Xiang, An analytical model for bidirectional reflectance factor of multicomponent vegetation canopies, Science in China (Series C), 40, 305-315, 1997.

    Article  Google Scholar 

  26. Rautiainen, M., P. Stenberg, N. T, and A. Kuusk, The effect of crown shape on the reflectance of coniferous stands, Remote Sensing of Environment, 89, 41-52, 2003.

    Article  Google Scholar 

  27. Ross, J., The Radiation Regime and Architecture of Plant Stands, Dr. W. Junk, Boston, 1981.

    Google Scholar 

  28. Saich, P., P. Lewis, M. Disney, and G. Thackrah, Comparison of Hymap/E-SAR data with models for optical reflectance and microwave scattering from vegetation canopies, in Proceedings of Third International Workshop on Retrieval of Bio- and Geo-Physical Parameters from SAR data for Land Applications, p. 427, 2001.

    Google Scholar 

  29. Shultis, J. K. and R. B. Myneni, Radiative transfer in vegetation canopies with anisotropic scattering, Journal of Quantitative Spectroscopy and Radiation Transfer, 39, 115-129, 1988.

    Article  Google Scholar 

  30. Soler, C. and F. Sillion, Hierarchical instantiation for radiosity, in Rendering Techniques ’00, edited by B. Peroche and H. Rushmeier, pp. 173-184, Springer, Wien, Berlin Heidelberg New York, 2000.

    Google Scholar 

  31. Taylor, K. E., Summarizing multiple aspects of model performance in a single diagram, Journal of Geophysical Research, 106, 7183-7192, 2006.

    Article  Google Scholar 

  32. Thompson, R. L. and N. S. Goel, Two models for rapidly calculating bidirectional reflectance: Photon spread (ps) model and statistical photon spread (sps) model, Remote Sensing Reviews, 16, 157-207, 1998.

    Google Scholar 

  33. Verhoef, W., 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, 2002.

    Google Scholar 

  34. Verstraete, M. M., Radiation transfer in plant canopies: Transmission of direct solar radiation and the role of leaf orientation, Journal of Geophysical Research, 92, 10, 985-10, 995, 1987.

    Google Scholar 

  35. Verstraete, M. M., Radiation transfer in plant canopies: Scattering of solar radiation and canopy reflectance, Journal of Geophysical Research, 93, 9483-9494, 1988.

    Article  Google Scholar 

  36. Widlowski, J. -L., B. Pinty, N. Gobron, M. M. Verstraete, and A. B. Davis, Characterization of surface heterogeneity detected at the MISR/TERRA subpixel scale, Geophysical Research Letters, 28, 4639-4642, 2001.

    Article  Google Scholar 

  37. Widlowski, J. -L., T. Lavergne, B. Pinty, M. M. Verstraete, and N. Gobron, Rayspread: A virtual laboratory for rapid BRF simulations over 3-D plant canopies, in Computational Methods in Transport, edited by G. Frank, pp. 211-231, ISBN-10 3-540-28, 122-3, Lecture Notes in Computational Science and Engineering Series, 48, Springer, Berlin Heidelberg New York, 2006.

    Google Scholar 

  38. Widlowski, J. -L., B. Pinty, T. Lavergne, M. M. Verstraete, and N. Gobron, Horizontal radiation transport in 3-D forest canopies at mul-tiple spatial resolutions: Simulated impact on canopy absorption, Remote Sensing of Environment, 103, 379-397, doi:10. 1016/j. rse. 2006. 03. 014, 2006.

    Article  Google Scholar 

  39. Widlowski, J. -L., M. Taberner, B. Pinty, V. Bruniquel-Pinel, M. Disney, R. Fernandes, J. -P. Gastellu-Etchegorry, N. Gobron, A. Kuusk, T. Lavergne, S. Leblanc, P. Lewis, E. Martin, M. Mõttus, P. J. R. North, W. Qin, M. Robustelli, N. Rochdi, R. Ruiloba, C. Soler, R. Thompson, W. Verhoef, M. M. Verstraete, and D. Xie, The third radiation trans- fer model intercomparison (RAMI) exercise: Documenting progress in canopy reflectance modelling, Journal of Geophysical Research, 2007.

    Google Scholar 

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Widlowski, J.L., Pinty, B., The RAMI participants. (2008). Canopy Reflectance Model Benchmarking: RAMI and the ROMC. In: Graziani, F. (eds) Computational Methods in Transport: Verification and Validation. Lecture Notes in Computational Science and Engineering, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77362-7_8

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