Effects of multiple view angles on the classification of forward-modeled MODIS reflectance

References

• Abuelgasim, A., Sucharita, G.A., Irons, J.R. and Strahler, A.H. Classification of ASAS multiangle and multispectral measurements using artificial neural networks. Remote Sensing of Environment. 1996. Vol. 57, pp. 79-87. doi: doi: 10.1016/0034-4257(95)00197-2
   Web of Science ®Google Scholar
• Barnsley, M.J., Strahler, A.H., Morris, K.P. and Muller, J.P. Sampling the surface bidirectional reflectance distribution function (BRDF): 1. evaluation of current and future satellite sensors. Remote Sensing Reviews. 1994. Vol. 8, pp. 271-311. doi: doi: 10.1080/02757259409532205
   Google Scholar
• Barnsley, M.J., Allison, D. and Lewis, P. On the information content of multiple view angles (MVA) images. International Journal of Remote Sensing. 1997. Vol. 18, No. 9, pp. 1937-1960. doi: doi: 10.1080/014311697217963
   Web of Science ®Google Scholar
• Bicheron, P. and Leroy, M. Bidirectional reflectance distribution function signatures of major biomes observed from space. Journal of Geophysical Research. 2000. Vol. 105, No. D21, pp. 26,669-26,681. doi: doi: 10.1029/2000JD900380
   Google Scholar
• Bicheron, P., Leroy, M., Hautecoeur, O. and Breon, F.M. Enhanced discrimination of boreal forest covers with directional reflectances from the airborne POLarization and Directionality of Earth Reflectances (POLDER) instrument. Journal of Geophysical Research. 1997. Vol. 102, No. D24, pp. 29,517-29,528. doi: doi: 10.1029/97JD01330
   Google Scholar
• Bonan, G.B., Oleson, K.W., Vertenstein, M., Levis, S., Zeng, X.B., Dai, Y.J., Dickinson, R.E. and Yang, Z.-L. The land surface climatology of the community land model coupled to the NCAR community climate model. Journal of Climate. 2002. Vol. 15, pp. 3123-3149. doi: doi: 10.1175/1520-0442(2002)015<3123:TLSCOT>2.0.CO;2
   Web of Science ®Google Scholar
• Chen, J.M. and Leblanc, S.G. A four-scale bidirectional reflectance model based on canopy architecture. IEEE Transactions on Geoscience and Remote Sensing. 1997. Vol. 35, pp. 1316-1337. doi: doi: 10.1109/36.628798
   Web of Science ®Google Scholar
• Chen, J.M., Menges, C.H. and Leblanc, S.G. Global mapping of foliage clumping index using multi-angular data. Remote Sensing of Environment. 2005. Vol. 97, pp. 447-457. doi: doi: 10.1016/j.rse.2005.05.003
   Web of Science ®Google Scholar
• CNES 2000. SPOT-Vegetation Instrument. Centre National pour l'Etudes d'Espace, http://spot4.cnes.fr/spot4_gb/, 6 June, 2000.
   Google Scholar
• Congalton, R.G., Oderwald, R.G. and Mead, R.A. Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques. Photogrammetric Engineering and Remote Sensing. 1983. Vol. 49, No. 12, pp. 1671-1678.
   Web of Science ®Google Scholar
• Congalton, R.G. A review of assessing the accuracy of classification of remotely sensed data. Remote Sensing of Environment. 1991. Vol. 37, pp. 35-46. doi: doi: 10.1016/0034-4257(91)90048-B
   Web of Science ®Google Scholar
• de Colstoun, B.E.C. and Walthall, C.L. Improving global scale land cover classifications with multi-directional POLDER data and a decision tree classifier. Remote Sensing of Environment. 2006. Vol. 100, pp. 474-485. doi: doi: 10.1016/j.rse.2005.11.003
   Web of Science ®Google Scholar
• Deering, D.W., Eck, T.F. and Banerjee, B. Characterization of the reflectance anisotropy of three boreal forest canopies in spring-summer. Remote Sensing of Environment. 1999. Vol. 67, pp. 205-229. doi: doi: 10.1016/S0034-4257(98)00087-X
   Web of Science ®Google Scholar
• ESA 2004. MERIS Introduction. European Space Agency, http://envisat.esa.int/instruments/meris/, 22 July, 2004.
   Google Scholar
• Foody, G.M. Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy. Photogrammetric Engineering & Remote Sensing. 2004. Vol. 70, No. 5, pp. 627-633.
   Web of Science ®Google Scholar
• Foley, J.A., DeFries, R., Asner, G.P., Barford, C., Bonan, G., Carpenter, S.R., Chapin, F.S., Coe, M.T., Daily, G.C., Gibbs, H.K., Helkowski, J.H., Holloway, T., Howard, E.A., Kucharik, C.J., Monfreda, C., Patz, J.A., Prentice, I.C., Ramankutty, N. and Snyder, P.K. Global consequences of land use. Science. 2005. Vol. 309, pp. 570 574. doi: doi: 10.1126/science.1111772
   Google Scholar
• Friedl, M.A., Brodley, C.E. and Strahler, A.H. Maximizing land cover classification accuracies produced by decision tree at continental to global scales. IEEE Transactions on Geoscience and Remote Sensing. 1999. Vol. 37, No. 2, doi: doi: 10.1109/36.752215
   Google Scholar
• Friedl, M.A., McIver, D.K., Hodges, J.C.F., Zhang, X.Y., Muchoney, D., Strahler, A.H., Woodcock, C.E., Gopal, S., Schneider, A., Cooper, A., Baccini, A., Gao, F. and Schaaf, C.B. Global land cover mapping from MODIS: algorithms and early results. Remote Sensing of Environment. 2002. Vol. 83, pp. 287-302. doi: doi: 10.1016/S0034-4257(02)00078-0
   Web of Science ®Google Scholar
• Friedl, M., Damien Sulla-Menashe, A., Tan, B., Schneider, A., Ramankutty, N. and Huang, A.S.X. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment. 2010. Vol. 114, No. 1, pp. 168-182. doi: doi: 10.1016/j.rse.2009.08.016
   Web of Science ®Google Scholar
• Galvao, L.S., Roberts, D.A., Formaggio, A.R., Numata, I. and Breunig, F.M. View angle effects on the discrimination of soybean varieties and on the relationships between vegetation indices and yield using off-nadir Hyperion data. Remote Sensing of Environment. 2009. Vol. 113, pp. 846-856. doi: doi: 10.1016/j.rse.2008.12.010
   Web of Science ®Google Scholar
• Hasegawa, K., Matsuyama, H., Tsuzuki, H. and Sweda, T. Improving the estimation of leaf area index by using remotely sensed NDVI with BRDF signatures. Remote Sensing of Environment. 2010. Vol. 114, pp. 514-519. doi: doi: 10.1016/j.rse.2009.10.005
   Web of Science ®Google Scholar
• Heiskanen, J. and Kivinen, S. Assessment of multispectral, -temporal and -angular MODIS data for tree cover mapping in the tundra–taiga transition zone. Remote Sensing of Environment. 2008. Vol. 112, pp. 2367-2380. doi: doi: 10.1016/j.rse.2007.11.002
   Web of Science ®Google Scholar
• Hyman, A.H. and Barnsley, M.J. On the potential for land cover mapping from multiple-view-angle (MVA) remotely-sensed images. International Journal of Remote Sensing. 1997. Vol. 18, No. 11, pp. 2471-2475. doi: doi: 10.1080/014311697217747
   Web of Science ®Google Scholar
• Jiao, Z., Woodcock, C., Schaaf, C.B., Tan, B., Liu, J., Gao, F., Strahler, A.H., Li, X. and Wang, J. Improving MODIS land cover classification by combining MODIS spectral and angular signatures in a Canadian boreal forest. Canadian Journal of Remote Sensing. 2011. Vol. 37, No. 2, pp. 1-20. doi: doi: 10.5589/m11-030
   Google Scholar
• Jin, Y., Schaaf, C.B., Gao, F., Li, X., Strahler, A.H., Lucht, W. and Liang, S. Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrieval: 1. Algorithm Performance. Journal of Geophysical Research. 2003. Vol. 108, No. D5, pp. 4158. doi: doi: 10.1029/2002JD002803
   Web of Science ®Google Scholar
• Justice, C.O., Vermote, E., Townshend, J.R.G., Defries, R., Roy, D.P., Hall, D.K., Salomonson, V.V., Privette, J.L., Riggs, G., Strahler, A., Lucht, W., Myneni, R.B., Knyazikhin, Y., Running, S.W., Nemani, R.R., Wan, Z., Huete, A.R., van Leeuwen, W., Wolfe, R.E., Giglio, L., Muller, J.-P., Lewis, P. and Barnsley, M.J. The Moderate Resolution Spectroradiometer (MODIS): Land remote sensing for global change research. IEEE Transactions on Geoscience and Remote Sensing. 1998. Vol. 36, pp. 1228-1249. doi: doi: 10.1109/36.701075
   Web of Science ®Google Scholar
• Liu, J., Schaaf, C.B., Strahler, A.H., Jiao, Z., Shuai, Y., Zhang, Q., Roman, M., Augustine, J.A. and Dutton, E.G. Validation of MODIS albedo retrieval algorithm: Dependence of albedo on solar zenith angle. Journal of Geographical Research. 2009. Vol. 114, pp. D01106. doi: doi: 10.1029/2008JD009969
   Google Scholar
• Li, X. and Strahler, A.H. Geometric-Optical bidirectional reflectance modeling of the discrete crown vegetation canopy: Effect of crown shape and mutual shadowing. IEEE Trans. on Geoscience and Remote Sensing. 1992. Vol. 30, No. 2, pp. 276-292. doi: doi: 10.1109/36.134078
   Web of Science ®Google Scholar
• Li, X., Gao, F., Wang, J. and Strahler, A.H. A priori knowledge accumulation and its application to linear BRDF model inversion. Journal of Geophysical Research. 2001. Vol. 106, No. D11, pp. 11,925-11,935. doi: doi: 10.1029/2000JD900639
   Google Scholar
• Leblanc, S.G., Chen, J.M., White, H.P. and Latifovic, R. Canada wide foliage clumping index mapping from multi-angular POLDER measurements. Canadian Journal of Remote Sensing. 2005. Vol. 31, pp. 364-376. doi: doi: 10.5589/m05-020
   Web of Science ®Google Scholar
• Lotsch, A., Tian, Y., Friedl, M.A. and Myneni, R.B. Land cover mapping in support of LAI and FPAR retrievals from EOS-MODIS and MISR: Classification methods and sensitivities to errors. International Journal of Remote Sensing. 2003. Vol. 24, No. 10, pp. 1997-2016. doi: doi: 10.1080/01431160210154858
   Web of Science ®Google Scholar
• Lucht, W., Schaaf, C.B. and Strahler, A.H. An algorithm for the retrieval of albedo from space using semiempirical BRDF models. IEEE Transactions Geoscience and Remote Sensing. 2000. Vol. 38, No. 2, pp. 977-998. doi: doi: 10.1109/36.841980
   Web of Science ®Google Scholar
• Maignan, F., Breon, F.-M. and Lacaze, R. Bidirectional reflectance of Earth targets: evaluation of analytical models using a large set of spaceborne measurements with emphasis on the Hot Spot. Remote Sensing of Environment. 2004. Vol. 90, No. 2, pp. 210-220. doi: doi: 10.1016/j.rse.2003.12.006
   Web of Science ®Google Scholar
• McIver, D.K. and Friedl, M.A. Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods. IEEE Transactions on Geoscience and Remote Sensing. 2001. Vol. 39, No. 9, pp. 1959-1968. doi: doi: 10.1109/36.951086
   Web of Science ®Google Scholar
• Muchoney, D.M. and Strahler, A.H. Regional vegetation mapping and direct land surface parameterization from remotely sensed and site data. International Journal of Remote Sensing. 2002. Vol. 23, No. 6, pp. 1125-1142. doi: doi: 10.1080/01431160110070771
   Web of Science ®Google Scholar
• Nolin, W.A. Towards retrieval of forest cover density over snow from the Multi-angle Imaging SpectroRadiometer (MISR). Hydrological Processes. 2004. Vol. 18, pp. 3623-3636. doi: doi: 10.1002/hyp.5803
   Web of Science ®Google Scholar
• Pisek, J., Chen, J.M. and Nilson, T. Estimation of vegetation clumping index using MODIS BRDF data. International Journal of Remote Sensing. 2011. Vol. 32, No. 9, pp. 2645-2657. doi: doi: 10.1080/01431161.2010.507611
   Web of Science ®Google Scholar
• Quinlan, J.R., C4.5, 1993. Programs for Machine Learning. Morgan Kaufmann Publishers, Massachusetts.
   Google Scholar
• Ross, J.K. 1981. The Radiation Regime and Architecture of Plant Stands. Dr. W. Junk Publishers, p. 392.
   Google Scholar
• Roujean, J.-L., Leroy, M. and Deschamps, P.Y. A bidirectional reflectance model of the earth's surface for the correction of remote sensing data. Journal of Geophysical Research. 1992. Vol. 97, pp. 20,455-20,468. doi: doi: 10.1029/92JD01411
   Web of Science ®Google Scholar
• Schaaf, C.B., Gao, F., Strahler, A., Lucht, W., Li, X., Tsang, T., Strugnell, N., Zhang, X., Jin, Y., Muller, J.-P., Lewis, P., Barnsley, M., Hobson, P., Disney, M., Roberts, G., Dunderdale, M., d'Entremont, R., Hu, B., Liang, S., Privette, J. and Roy, D. First operational BRDF, albedo and nadir reflectance products from MODIS. Remote Sensing of Environment. 2002. Vol. 83, No. 1, pp. 135-148. doi: doi: 10.1016/S0034-4257(02)00091-3
   Web of Science ®Google Scholar
• Schaaf, C. L. B., J. Liu, F. Gao and A. H. Strahler, (2011). MODIS albedo and reflectance anisotropy products from aqua and terra. In Land Remote Sensing and Global Environmental Change: NASA's Earch Observing System and the Science of ASTER and MODIS, Remote Sensing and Digital Image Processing Series, Vol. 11, B. Ramachandran, C. Justice, M. Abrams, (eds), Springer-Cerlag, p. 873.
   Google Scholar
• Sellers, P.J., Tucker, C.J., Collatz, G.J., Los, S.O., Justice, C.O., Dazlich, D.A. and Randall, D.A. A global 1-degree-by-1-degree NDVI data set for climate studies. 2. The generation of global fields of terrestrial biophysical parameters from the NDVI. International Journal of Remote Sensing. 1994. Vol. 15, No. 17, pp. 3519-3545. doi: doi: 10.1080/01431169408954343
   Web of Science ®Google Scholar
• Sterling, S. and Ducharne, A. Comprehensive data set of global land cover change for land surface model applications. Global Biogeochemical Cycles. 2008. Vol. 22, doi: doi: 10.1029/2007GB002959
   Google Scholar
• Strahler, A.H., Boschetti, L., Foody, G.M., Friedl, M.A., Hansen, M.C., Herold, M., Mayaux, P., Morisette, J.T., Stehman, S.V., and Woodcock, C.E. 2006. Global Land Cover Validation: Recommendations for evaluation and accuracy assessments of global land cover maps. EUR 22156 EN –DG Joint Research Centre, Institute for Environment and Sustainability.
   Google Scholar
• Su, L., Chopping, M.J., Rango, A., Martonchik, J.V. and Peters, D.P.C. Support vector machines for recognition of semi-arid vegetation types using MISR multi-angle imagery. Remote Sensing of Environment. 2007. Vol. 107, pp. 299-311. doi: doi: 10.1016/j.rse.2006.05.023
   Web of Science ®Google Scholar
• Wulder, M. 2002. Mapping the land cover of the forested area of Canada with landsat data. In Proceedings of 2002 International Geoscience and Remote Sensing Symposium, June 24–28, Toronto, Canada.
   Google Scholar
• Wulder, M., and Nelson, T. 2003. EOSD Land Cover Classification Legend Report. Version 2, http://www.pfc.forestry.ca/eosd/cover/EOSD_legend_report-v2.pdf
   Google Scholar
• Wulder, M.A., Franklin, S.E., White, J.C., Linke, J. and Magnussen, S. An accuracy assessment framework for large-area land cover classification products derived from medium-resolution satellite data. International Journal of Remote Sensing. 2006. Vol. 27, No. 4, pp. 663-683. doi: doi: 10.1080/01431160500185284
   Web of Science ®Google Scholar
• Wulder, M., White, J.C., Magnussen, S. and McDonald, S. Validation of a large area land cover product using purpose-acquired airborne video. Remote Sensing of Environment. 2007. Vol. 106, pp. 480-491. doi: doi: 10.1016/j.rse.2006.09.012
   Web of Science ®Google Scholar