Crop classification in rain-fed and irrigated agricultural areas using Landsat TM and ALOS/PALSAR data

Canadian Journal of Remote Sensing

Volumn 37, Issue 1, 2011, Pages 157-170

  Larranaga A ^a   Alvarez Mozos J ^b   Albizua, L ^a  

^a Department of Earth Information Systems   (Spain)

^b PUBLIC UNIVERSITY OF NAVARRE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; GEOMETRICAL OPTICS; RADAR; REMOTE SENSING; SYNTHETIC APERTURE RADAR;

AGRICULTURAL AREAS; CLASSIFICATION RESULTS; CROP CLASSIFICATION; CROP IDENTIFICATION; LANDSAT THEMATIC MAPPER; MULTISPECTRAL CLASSIFICATION; OPTICAL REMOTE SENSING; OVERALL ACCURACIES;

SPACE-BASED RADAR;

EID: 84870019952     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m11-022     Document Type: Article

References (31)

1. Alberga, A. 2007. A study of land cover classification using polarimetric SAR parameters. International Journal of Remote Sensing, Vol. 28, No. 17, pp. 3851-3870.
2. Albizua, L., Leranoz, A. 1999. Estimation of agricultural areas in Navarre. In VII Congreso Nacional de Teledeteccion, 22-24 September 1999, Albacete, Spain. Edited by S. Castano, Asociacion Espatiola de Teledeteccion, Madrid, Spain. [in Spanish with English abstract].
3. Ban, Y.F. 2003. Synergy of multitemporal ERS-1 SAR and Landsat TM data for classification of agricultural crops. Canadian Journal of Remote Sensing, Vol. 29, No. 4, pp. 518-526. doi: 10.5589/m03-014.
4. Blaes, X., Vanhalle, L., and Defourny, P. 2005. Efficiency of crop identification based on optical and SAR image time series. Remote Sensing of Environment, Vol. 96, No. 3-4, pp. 352-365. doi: 10.1016/j.rse.2005.03.010.
5. Brisco, B., and Brown, R.J. 1995. Multidate Sar/Tm synergism for crop classification in western Canada. Photogrammetric Engineering and Remote Sensing, Vol. 61, No. 8, pp. 1009-1014.
6. Castillejo-Gonzalez, I.L., Lopez-Granados, F., Garcia-Ferrer, A., Pena-Barragan, J.M., Jurado-Exposito, M., de la Orden, M.S., and Gonzalez-Audicana, M. 2009. Object- and pixel-based analysis for mapping crops and their agro-environmental associated measures using QuickBird imagery Computers and Electronics in Agriculture, Vol. 68, No. 2, pp. 207-215. doi: 10.1016/j.compag.2009.06.004.
7. Chuvieco, E. 2002. Analisis de imdgenes: extraction de information temdtica. In Teledeteccion ambiental. Edited by S.A. Ariel. Barcelona, Spain. pp. 397-404.
8. Dematthaeis, P, Schiavon, G., and Solimini, D. 1994. Effect of scattering mechanisms on polarimetric features of crops and trees. International Journal of Remote Sensing, Vol. 15, No. 14, pp. 2917-2930.
9. Fedoroff, N.V, Battisti, D.S., Beachy, R.N., Cooper, PJ.M., Fischhoff, D.A., Hodges, C.N., Knauf, VC., Lobell, D., Mazur, B.J., Molden, D., Reynolds, M.P., Ronald, PC., Rosegrant, M.W, Sanchez, PA., Vonshak, A., and Zhu, J.K. 2010. Radically rethinking agriculture for the 21st century Science (Washington, D.C.), Vol. 327, No. 5967, pp. 833-834. doi: 10.1126/science.H86834.
10. Ferrazzoli, P, Guerriero, L., and Schiavon, G. 1999. Experimental and model investigation on radar classification capability. IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No. 2, pp. 960-968. doi: 10.1109/36.752214.
11. Fleming, A., and Vanclay, F. 2010. Farmer responses to climate change and sustainable agriculture: a review. Agronomy for Sustainable Development, Vol. 30, No. 1, pp. 11-19. doi: 10.1051/agro/2009028.
12. Hellden, U. 1980. A test of Landsat-2 imagery and digital data for thematic mapping illustrated by an environmental study in Northern Kenya. Lund University, Lund, Sweden.
13. Landis, J.R., and Koch, G.G. 1977. Application of hierarchical Kappa-type statistics in assessment of majority agreement among multiple observers. Biometrics, Vol. 33, No. 2, pp. 363-374. doi: 10.2307/2529786.
14. Larrahaga, A., Albizua, I, and Alvarez-Mozos, J. 2010. Crop classification in central Navarre using polarimetric radar data. Revista de Teledetec-cion [in Spanish with English abstract], Vol. 34, pp. 77-88.
15. Lee, J.S., and Pottier, E. (Editors). 2009. Polarimetric radar imaging from basics to applications. Boca Raton, Florida, CRC Press.
16. Lee, J.S., Grunes, M.R., and Kwok, R. 1994. Classification of multi-look polarimetric Sar imagery based on complex Wishart distribution. International Journal of Remote Sensing, Vol. 15, No. 11, pp. 2299-2311. doi: 10.1080/01431169408954244.
17. Lee, J.S., Grunes, M.R., and Pottier, E. 2001. Quantitative comparison of classification capability: fully polarimetric versus dual and singlepolarization SAR. IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No. 11, pp. 2343-2351. doi: 10.1109/36.964970.
18. Lillesand, T.M., and Kiefer, R.W. (Editors). 2000. Remote sensing and image interpretation. John Wiley and Sons, New York.
19. Lopes, A., Nezry, E., Touzi, R., and Laur, H. 1993. Structure detection and statistical adaptive speckle filtering in Sar images. International Journal of Remote Sensing, Vol. 14, No. 9, pp. 1735-1758. doi: 10.1080/01431169308953999.
20. McNairn, H., and Brisco, B. 2004. The application of C-band polarimetric SAR for agriculture: a review. Canadian Journal ofRemote Sensing, Vol. 30, No. 3, pp. 525-542. doi: 10.5589/m03-069.
21. McNairn, H., Champagne, C., Shang, J., Holmstrom, D., and Reichert, G. 2009a. Integration of optical and synthetic aperture radar (SAR) imagery for delivering operational annual crop inventories. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 64, No. 5, pp. 434-449. doi: 10.1016/j.isprsjprs.2008.07.006.
22. McNairn, H., Shang, J.L., Jiao, X. F., and Champagne, C. 2009b. The contribution of ALOS PALSAR multipolarization and polarimetric data to crop classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 12, pp. 3981-3992. doi: 10.1109/TGRS.2009.2026052.
23. Michelson, D.B., Liljeberg, B.M., and Pilesjo, P 2000. Comparison of algorithms for classifying Swedish landcover using Landsat TM and ERS-1 SAR data. Remote Sensing of Environment, Vol. 71, No. 1, pp. 1-15. doi: 10.1016/S0034-4257(99)00024-3.
24. Quegan, S., Le Toan, T., Skriver, H., Gomez-Dans, J., Gonzalez-Sampedro, M.C., and Hoekman, D.H. 2003. Crop classification with multitemporal polarimetric SAR data. In PolinSAR 2003, Frascati, Italy, Edited by H. Lacoste. European Space Agency, Noordwijk, The Netherlands.
25. Rodrigues, A., Corr, D.G., Pottier, E., Ferro-Famil, L., and Hoekman, D.H. 2003. Land cover classification using polarimetric SAR data. In POLinSAR 2003, 14-16 January 2003, Frascati, Italy. Edited by H. Lacoste. European Space Agency, Noordwijk, The Netherlands.
26. Saich, P., and Borgeaud, M. 2000. Interpreting ERS SAR signatures of agricultural crops in Flevoland, 1993-1996. IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No. 2, pp. 651-657. doi: 10.1109/36.841995.
27. Skriver, H. 2007. Signatures of polarimetric parameters and their implications on land cover classification. In Geoscience and Remote Sensing Symposium, IGARSS 2007, IEEE International, 23-27 July 2007, Barcelona, Spain, IEEE, New York, NY pp. 4195-4198. doi: 10.1109/IGARSS.2007.4423775.
28. Skriver, H., Svendsen, M.T., and Thomsen, A.G. 1999. Multitemporal C-and L-band polarimetric signatures of crops. IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No. 5, pp. 2413-2429. doi: 10.1109/36.789639.
29. Stankiewicz, K.A. 2006. The efficiency of crop recognition on ENVISAT ASAR images in two growing seasons. IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 4, pp. 806-814. doi: 10.1109/TGRS.2006.864380.
30. Touzi, R., Goze, S., Letoan, T., Lopes, A., and Mougin, E. 1992. Polarimetric discriminators for Sar images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 30, No. 5, pp. 973-980. doi: 10.1109/36.175332.
31. Waske, B., and van der Linden, S. 2008. Classifying multilevel imagery from SAR and optical sensors by decision fusion. IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 5, pp. 1457-1466. doi: 10.1109/TGRS.2008.916089.