Cartographie de la texture de surface des sols de la Montérégie à l'aide de données d'observation de la terre et de sol archivées

Bibliographie

• Barnes, E.M. and Baker, M.G. Multispectral data for mapping soil texture: possibilities and limitations. Applied Engineering in Agriculture . 2000. Vol. 16, No. 6, pp. 731-741.
   Web of Science ®Google Scholar
• Benz, U.C., Hofmann, P., Willhauck, G., Lingenfelder, I., et Heynen, M. 2004. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 58, p. 239–258. doi: 10.1016/j.isprsjprs.2003.10.002.
   Google Scholar
• Boettinger, J.L., Ramsey, R.D., Bodily, J.M., Cole, N.J., Kienast-Brown, S., Nield, S.J., Suaders, A.M., et Stum, A.K. 2008. LANDSAT spectral data for digital soil mapping. Chap. 1.6 Dans Digital soil mapping with limited data. Sous la direction de A.E. Hartemink, A.B. McBratney et M.L. Mendonca-Santos. Springer, New York. p. 193–201.
   Google Scholar
• Bonn, F., et Escadafal, R. 1996. Précis de télédétection: Applications thématiques. Vol. 2. Sous la direction de F. Bonn. Québec, Presses de l'Université du Québec/AUPELF. p. 91–135.
   Google Scholar
• Campling, P., Gobin, A., et Feyen, J. 2002. Logistic modeling to spatially predict the probability of soil drainage classes. Soil Science Society America Journal, Vol. 66, p. 1390–1401. doi: 10.2136/sssaj2002.1390.
   Google Scholar
• Cloude, S.R., et Pottier, E. 1996. A review of target decomposition theorems in radar polarimetry. IEEE Transactions on Geoscience and Remote Sensing, Vol. 34, no 2, p. 498–518. doi: 10.1109/36.485127.
   Google Scholar
• Cloude, S.R. and Pottier, E. Application of the H/A/α polarimetric decomposition theorem for land classification. Proc. SPIE . 1997. Vol. 3120, pp. 132-143.
   Google Scholar
• Coen, G.M. (Rédacteur). 1987. Soil survey handbook. Technical Bulletin 1987-9E. Land Resource Research Centre Contribution No 85–30. Research Branch. Agriculture Canada.
   Google Scholar
• Day, J.H., et McMenamin, J. 1983. Système d'information des sols du Canada (SISCan). Manuel de description des sols sur le terrain. Agriculture Canada, Direction générale de la recherche, I.R.T. Contribution No 82–52, Ottawa, Ont.
   Google Scholar
• El Ouardighi, A. , El Akadi, A. and Aboutajdine, D. Feature selection on supervised classification using Wilks lambda statistic. International Symposium on Computational Intelligence and Intelligent Informatics. 28–30 March 2007, Agadir, Morocco. IEEE Transactions on Geoscience and Remote Sensing . 2007. Vol. 28–30, pp. 51-55.
   Google Scholar
• Fisher, R.A. 1936. The use of multiple measurements in taxonomic problems (PDF). Annals of Eugenics, Vol. 7, p. 179–188. doi: 10.1111/j.1469-1809.1936.tb02137.x.
   Google Scholar
• Freeman, A., et Durden, S.L. 1998. A three-component scattering model for polarimetric SAR Data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 36, no 3, p. 963–973. doi: 10.1109/36.673687.
   Google Scholar
• Hajnsek, I., Pottier, E., et Cloude, S.R. 2003. Inversion of surface parameters from polarimetric SAR. IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, no 4, p. 727–745. doi: 10.1109/TGRS.2003.810702.
   Google Scholar
• Lee, J.S., Grunes, M.R., et Pottier, E. 2001. Quantitative comparison of classification capability: fully polarimetric versus dual and single-polarization SAR. IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, no 11, p. 2343–2351. doi: 10.1109/36.964970.
   Google Scholar
• Liu, J., Miller, J.R., Haboudane, D., Pattey, E., et Nolin, M.C. 2003. Spatial patterns in seasonal CASI image data products and potential application for management zone delineation for precision agriculture. Dans Proceedings 25 th Canadian Remote Sensing Conference, du 14 au 16 octobre 2003, Montréal, Quebec.
   Google Scholar
• Liu, J., Pattey, E., Nolin, M.C., Miller, J.R., et Ka, O. 2008. Mapping within-field soil drainage using remote sensing, DEM and apparent soil electrical conductivity. Geoderma, Vol. 143, p. 261–272. doi: 10.1016/j.geoderma.2007.11.011.
   Google Scholar
• Lobell, D.B., et Asner, G.P. 2002. Moisture effects on soil reflectance. Soil Science Society America Journal, Vol. 66, p. 722–727. doi: 10.2136/sssaj2002.0722.
   Google Scholar
• López-Martínez, C., Ferro-Famil, L., et Pottier, E. 2005. PolSARpro v4.0 Polarimetry Tutorial. http://earth.esa.int/polsarpro/tutorial.html
   Google Scholar
• Mattikalli, N.M. 1997. Soil colour modelling for the visible and near infrared bands of LANDSAT sensors using laboratory spectral measurements. Remote Sensing of Environment, Vol. 59, p. 14–28. doi: 10.1016/S0034-4257(96)00075-2.
   Google Scholar
• McBratney, A.B., Mendonca-Santos, M.L., et Minasny, B. 2003. On digital soil mapping. Geoderma, Vol. 117, p. 179–188. doi: 10.1016/S0016-7061(03)00223-4.
   Google Scholar
• Niang, M.A., Bernier, M., Nolin, M.C., Ka, O., et Liu, J. 2006. Approche quantitative pour la prédiction et la cartographie du drainage des sols par l'intégration de données ASTER et RADARSAT-1. Institut national de la recherche scientifique, centre Eau, Terre et Environnement, Québec, Canada. Rapport de recherche R-905.
   Google Scholar
• Niang, M., Bernier, M., Nolin, M.C., Ka, O., et Liu, J. 2007. Apport de l'imagerie radar multipolarisée et polarimétrique à la classification et à la cartographie du drainage des sols du bassin versant du Bras d'Henri. Mars 2007. Institut national de la recherche scientifique, centre Eau, Terre et Environnement (INRS-ETE), Québec, Canada. Rapport de recherche R-928.
   Google Scholar
• Niang, M.A., Nolin, M.C., et Bernier, M. 2010. Potential of C-band multi-polarized and polarimetric SAR data for soil drainage classification and mapping. Imperator, P. and Riccio, D., Eds. Geoscience and Remote Sensing : New Achievements. In-tech, pp. 163–176, ISBN: 978-953-7619-97-8.
   Google Scholar
• Nolin, M.C., et Lamontagne, L. 1991. Fiabilité d'une étude pédologique détaillée réalisée en terrain plat. Canadian Journal of Soil Science, Vol. 71, p. 339–353. doi: 10.4141/cjss91-033.
   Google Scholar
• Nolin, M.C., Niang, M., Perron, I., Lamontagne, L., Sylvain, J-D., Breton, M., Perrault, S., Grenon, L., Deschênes, M., Martin, A. 2010. Cartographie numérique d'indicateurs du drainage des sols à l'aide de données d'observation de la terre et de nouvelles technologies. Projet GRIP 07MOA74815, avril 2010. 213p.
   Google Scholar
• Sanchez, P.A., Ahamed, S., Carré, F., Hartemink, A.E., Hempel, J., Huising, J., Lagacherie, P., et Zhang, G.-L. 2009. Digital soil map of the world. Science, Vol. 325, p. 680–681. doi: 10.1126/science.1175084.
   Google Scholar
• Sedlák, P. Using LANDSAT TM data for mapping of the quaternary deposits in central Sweden. Geographica . 2002. Vol. 37, pp. 77-81.
   Google Scholar
• Selim, A., et Gokhan Akcay, H. 2005. Multi-resolution segmentation and shape analysis for remote sensing image classification. Dans 2nd International Conference on Recent Advances in Space Technologies, du 9 au 11 juin 2005, Istanbul, Turquie, p. 599–604. doi: 10.1109/RAST.2005.1512638.
   Google Scholar
• Sullivan, D., Shaw, J.N., et Rickman, D. 2005. IKONOS imagery to estimate surface soil property variability in two Alabama physiographies. Soil Science Society America Journal, Vol. 69, p. 1789–1798. doi: 10.2136/sssaj2005.0071.
   Google Scholar
• Touzi, R. 2007. Target scattering decomposition in terms of roll-invariant target parameters. IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, no 1, p. 73–84. doi: 10.1109/TGRS.2006.886176.
   Google Scholar
• Touzi, R, Deschamps, A., et Rother, G. 2007. Wetland characterization using polarimetric RADARSAT-2 capability. Canadian Journal of Remote Sensing, Vol. 33, p. 556–567. doi: 10.5589/m07-007.
   Google Scholar
• Ulaby, F.T. , Batlivala, P.P. and Dobson, M.C. Microwave backscatter dependence on surface roughness, soil moisture and soil texture, Part 1, Bare soil. IEEE Transactions on Geoscience and Remote Sensing . 1978. Vol. 16, pp. 286-295.
   Web of Science ®Google Scholar
• Ulaby, F.T., Dubois, P.C., et van Zyl. J. 1996. Radar mapping of surface soil moisture. Journal of Hydrology, Vol. 184, p. 57–84. doi: 10.1016/0022-1694(95)02968-0.
   Google Scholar
• Van Zyl, J. Application of Cloud's target decomposition theorem to polarimetric imaging radar data. SPIE . 1992. Vol. 1748, pp. 184-192.
   Google Scholar
• Varsha T., et Rao, Y.S. 2011. Effect of different target decomposition techniques on classification accuracy for polarimetric SAR data. International conference Proc. ICTSM 201, CCIS145, p. 138–145.
   Google Scholar
• Webster, R., et Burrough, P.A. 1974. Multiple discriminant analysis in soil survey. Journal of Soil Science, Vol. 25, no 1, p.120–134. doi: 10.1111/j.1365-2389.1974.tb01109.x.
   Google Scholar
• Yamaguchi, Y. , Nakamura, M. and Yamada, H. Decomposition of radar target based on the scattering matrix obtained by FM-CW radar. Institute of Electronics, Information and Communication Engineers (IEICE) Transactions. Communication . 1997. Vol. E80-B, No. 10, pp. 1564-1569.
   Google Scholar