A SAR process model for land-cover mapping

Canadian Journal of Remote Sensing

Volumn 30, Issue 2, 2004, Pages 195-204

  Bugden, J L ^a   Andrey, J ^b   Howarth, P J ^b  

^a OTTAWA RESEARCH AND DEVELOPMENT CENTRE   (Canada)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; IMAGE ANALYSIS; INFORMATION ANALYSIS; INTERFEROMETRY; LIGHT POLARIZATION; MAPS; SENSORS; SOILS;

CROP MAPS; LAND-COVER; OPTICAL DATA; RADAR IMAGERY;

SYNTHETIC APERTURE RADAR;

EID: 2542435135     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m03-060     Document Type: Article

References (57)

1. Anderson, J.F., Hardy, E.E., Roach, J.T., and Witmer, R.E. 1976. A land use and land cover classification system for use with remote sensor data. U.S. Geological Survey, Professional Paper 964.
2. Andrefouet, S., and Claereboudt, M. 2000. Objective class definitions using correlation of similarities between remotely sensed and environmental data. International Journal of Remote Sensing, Vol. 21, No. 9, pp. 1925-1930.
3. Ban, Y., and Howarth, PJ. 1999. Multitemporal ERS-1 SAR data for crop classification: a sequential-masking approach. Canadian Journal of Remote Sensing, Vol. 25, No. 5, pp. 438-447.
4. Barnsley, M.J., Allison, D., and Lewis, P. 1997. On information content of multiple view angle (MVA) images. International Journal of Remote Sensing, Vol. 18, No. 9, pp. 1937-1960.
5. Baronti, S., Del Frate, F., Ferrazzoli, P., Paloscia, S., Pampaloni, P., and Schiavon, G. 1995. SAR polarimetric features of agricultural areas. International Journal of RemoteSensing, Vol. 16, No. 14, pp. 2639-2656.
6. Basili, P., Ciotti, P., D’Auria, G., Marzano, F.S., Pierdicca, N., and Quarto, P. 1994. Assessment of polarimetric features to discriminate land cover from the MAESTRO 1 campaign. International Journal of Remote Sensing, Vol. 15, No. 14, pp. 2887-2899.
7. Borak, J.S., and Strahler, A.H. 1999. Feature selection and land cover classification of a MODIS-like data set for semiarid environment. International Journal of Remote Sensing, Vol. 20, No. 5, pp. 919-938.
8. Borak, J.S., Lambin, E.F., and Strahler, A.H. 2000. Theuse of temporal matrices for land cover change detection at coarse spatial scales. InternationalJournal of Remote Sensing, Vol. 21, Nos. 6 and 7, pp. 1415-1432.
9. Borgeaud, M., and Wegmueller, U. 1996. On the use of ERS SAR interferometry for the retrieval of geo-and bio-physical information. In Proceedings of the ESA ‘Fringe 96’ Workshop on ERS SAR Interferometry, 30 Sept.-2 Oct. 1996, Zurich, Switzerland. Compiled by T.-D. Guyenne and D. Danesy. [CD-ROM]. ESA Publications Division, ESTEC, Noordwijk, The Netherlands.
10. Bouman, B.A.M., van Kraalingen, D.W.G., Stol, W., and van Leeuwen, H.J.C. 1999. An agroecological modeling approach to explain ERS SAR radar backscatter of agricultural crops. Remote Sensing of Environment, Vol. 67, pp. 138-145.
11. Brown, R.J., Manore, M.J., and Poirier, S. 1992. Correlations between X-, C-, and L-band imagery within an agricultural environment. International Journal of Remote Sensing, Vol. 13, No. 9, pp. 1645-1661.
12. Brown, R.J., Brisco, B., Leconte, R., Major, D.J., Fischer, J.A., Reichert, G., Korporal, K.D., Bullock, P.R., Pokrant, H., and Culley, J. 1993. Potential applications of RADARSAT data to agriculture and hydrology. Canadian Journal of Remote Sensing, Vol. 19, No. 4, pp. 317-329.
13. Bruckler, L., and Witono, H. 1989. Use of remotely sensed soil moisture content as boundary conditions in soil-atmosphere water transport modeling 2. Estimating soil water balance. Water Resources Research, Vol. 25, No. 12, pp. 2437-2447.
14. Bruzzone, L., and Serpico, S.B. 2000. A technique for feature selection in multiclass problems. International Journal of Remote Sensing, Vol. 21, No. 3, pp. 549-563.
15. Bugden, J. 2002. A knowledge-based model for SAR-crop interactions: a case study in Norwich Township, Ontario. Ph.D. thesis, University of Waterloo, Waterloo, Ont.
16. Bush, T.F., and Ulaby, F.T. 1977. Crop inventories with radar. Remote Sensing Laboratory, University of Kansas Center for Research, Inc., Lawrence, Kans.
17. Canada Centre for Remote Sensing. 2003. Glossary. Available from http://www.ccrs.nrcan.gc.ca/ccrs/learn/terms/glossary/glossary_e.html [accessed September 2003].
18. Cihlar, J. 2000. Land cover mapping of large areas from satellites: status and research priorities. International Journal of Remote Sensing, Vol. 21, Nos. 6 and 7, pp. 1093-1114.
19. Cloutis, E.A., Connery, D.R., Major, D.J., and Dover, F.J. 1996. Agricultural crop condition monitoring using airborne C-band synthetic aperture radar in southern Alberta. International Journal of Remote Sensing, Vol. 17, No. 13, pp. 2565-2577.
20. Cloutis, E.A., Connery, D.R., and Dover, F.J. 1999. Agricultural crop monitoring using airborne multi-spectral imagery and C-band synthetic aperture radar. International Journal of Remote Sensing, Vol. 20, No. 4, pp. 767-787.
21. Conway, J. 1997. Evaluating ERS-1 SAR data for the discrimination of tropical forest from other vegetation types in Papua New Guinea. International Journal of Remote Sensing, Vol. 18, No. 14, pp. 2967-2984.
22. Cordey, R., Saich, P., Baker, J., Luckman, A., Keyte, G., and Quegan, S. 1997. Satellite SAR for agriculture and forestry: key results from SIR-C/X-SAR. Available from http://southport.jpl.nasa.gov/reports/finrpt/Cordey/cordey.htm [accessed September 2003].
23. Cortijo, F.J., and Perez dela Blanca, N. 1999. The performance of regularized discriminant analysis versus non-parametric classifiers applied to highdimensional image classification. International Journal of Remote Sensing, Vol. 20, No. 17, pp. 3345-3365.
24. Daughtry, C.S.T., Ranson, K.J., and Biehl, L.L. 1991. C-band backscattering from corn canopies. International Journal of Remote Sensing, Vol. 12, No. 5, pp. 1097-1109.
25. De Grandi, G.F., Mayaux, P., Milingreau, J.P., Rosenqvist, A., Saatchi, S., and Simard, M. 2000. New perspectives on global ecosystems from wide-area radar mosaics: flooded forest mapping in the tropics. International Journal of Remote Sensing, Vol. 21, Nos. 6 and 7, pp. 1235-1249.
26. Dobson, M.C., Pierce, L.P., Sarabandi, K., Ulaby, F.T., and Sharik, T. 1992. Preliminary analysis of ERS-1 SAR for forest ecosystem studies. IEEE Transactions on Geoscience and Remote Sensing, Vol. 30, No. 2, pp. 203-211.
27. Dutra, L.V., and Huber, R. 1999. Feature extraction and selection for ERS-1/2 InSAR classification. International Journal of Remote Sensing, Vol. 20, No. 5, pp. 993-1016.
28. Fukunaga, K. 1990. Introduction to statistical pattern recognition. 2nd ed. Academic Press, San Diego, Calif.
29. Gauthier, Y., Bernier, M., and Fortin, J-P. 1998. Aspect and incidence angle sensitivity in ERS-1 SAR data. International Journal of Remote Sensing, Vol. 19, No. 10, pp. 2001-2006.
30. Gerstl, S.A.W. 1990. Physical concepts of optical and radar reflectance signatures. International Journal of Remote Sensing, Vol. 11, No. 7, pp. 1109-1117.
31. Gong, P., Marceau, D.J., and Howarth, PJ. 1992. A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data. Remote Sensing of Environment, Vol. 40, pp. 137-151.
32. Hagenmeister, A., and Selige, T. 1998. Analysis of multiple effects ofbio-and geo-physical parameters on ERS SAR backscattering based on field segments. In Proceedings of the 2nd International Workshop on Retrieval of Bio-and Geo-physical Parameters from SAR Data for Land Applications, 21-23 Oct. 1998, Noordwijk, The Netherlands. European Space Research and Space Technology Centre (ESTEC), Noordwijk, The Netherlands.
33. Henderson, F.M., and Lewis, A.J. 1998. Principles and applications of imaging radar: manual of remote sensing. Vol. 2. 3rd ed. John Wiley & Sons, Inc., New York.
34. Hyman, A.H., and Barnsley, M.J. 1997. On the potential for land cover mapping from multiple view angle (MVA) remotely-sensed images. International Journal of Remote Sensing, Vol. 18, No. 11, pp. 2471-2475.
35. Kidd, R., and Lemoine, G. 1998. Operational European cereal monitoring: methodological considerations. In Proceedings of the 2nd International Workshop on Retrieval of Bio-and Geo-physical Parameters from SAR Data for Land Applications, 21-23 Oct. 1998, Noordwijk, The Netherlands. European Space Research and Space Technology Centre (ESTEC), Noordwijk, The Netherlands.
36. Kurosu, T., Fujita, M., and Chiba, K. 1997. The identification of rice fields using multi-temporal ERS-1 C band SAR data. International Journal of Remote Sensing, Vol. 18, No. 14, pp. 2953-2965.
37. Lillesand, T.M., and Kiefer, R.W. 2000. Remote sensing and image interpretation. 3rd ed. John Wiley & Sons, Inc., New York.
38. Madhok, V., and Landgrebe, D.A. 2002. A process model for remote sensing data analysis. IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, No. 3, pp. 680-686.
39. Mangolini, M., and Arino, O. 1996. ERS-SARandLandsat-TMmultitemporal fusion for crop statistics. ESA Earth Observation Quarterly No. 51. Available from http://esapub.esrin.esa.it/eoq/eoq51/man51.htm [accessed September 2003].
40. McNairn, H., Brown, R.J., and Wood, D. 1998. Incidence angle considerations for crop mapping using multitemporal RADARSAT data. In Proceedings of the 20th Canadian Symposium on Remote Sensing, 11-14 May 1998, Calgary, Alta. Canadian Aeronautics and Space Institute, Ottawa, Ont. pp. 211-214.
41. Noernberg, M.A., Novo, E.M., and Krug, T. 1999. The use of biophysical indices and coefficient of variation derived from airborne synthetic aperture radar for monitoring the spread of aquatic vegetation in tropical reservoirs. International Journal of Remote Sensing, Vol. 20, No. 1, pp. 67-82.
42. Oliver, C., and Quegan, S. 1998. Understanding synthetic aperture radar images. Artech House, Boston.
43. Rauste, Y. 1990. Incidence-angle dependence in forested and non-forested areas in Seasat SAR data. International Journal of Remote Sensing, Vol. 11, No. 7, pp. 1267-1276.
44. Rignot, E.J.M., and van Zyl, J.J. 1993. Change detection techniques for ERS-1 SAR data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 31, No. 4, pp. 896-906.
45. Saatchi, S.S., Nelson, B., Podest, E., and Holt, J. 2000. Mapping land cover types in the Amazon Basin using 1 km JERS-1 mosaic. International Journal of Remote Sensing, Vol. 21, Nos. 6 and 7, pp. 1201-1234.
46. Saindranath, J., Narasimha Rao, P.V., and Thiruvengadachari, S. 2000. Radarsat data analysis for monitoring and evaluation of irrigation projects in the monsoon. International Journal of Remote Sensing, Vol. 21, No. 17, pp. 3219-3226.
47. Schistad-Soldberg, A.H., and Jain, A.K. 1997. Texture fusion and feature selection applied to SAR imagery. IEEE Transactions on Geoscience and Remote Sensing, Vol. 35, No. 2, pp. 475-479.
48. Schotten, C.G., Van Rooy, W.W.L., and Janseen, L.L.F. 1995. Assessment of the capabilities of multi-temporal ERS-1 SAR data to discriminate between agricultural crops. International Journal of Remote Sensing, Vol. 16, No. 14, pp. 2619-2637.
49. Siegert, F., and Ruecker, G. 2000. Use of multi-temporal ERS-2 SAR images for identification of burned scars in south-east Asia tropical rainforest. International Journal of Remote Sensing, Vol. 21, No. 4, pp. 831-837.
50. Smara, Y., Belhadj-Aissa, A., Sansal, B., Lichtenegger, J., and Bouzenoune, A. 1998. Multisource ERS-1 and optical data for vegetal cover assessment and monitoring in a semi-arid region in Algeria. International Journal of Remote Sensing, Vol. 19, No. 18, pp. 3551-3568.
51. Tso, B., and Mather, P.M. 1999. Crop discrimination using multi-temporal SAR imagery. International Journal of Remote Sensing, Vol. 20, No. 12, pp. 2442-2460.
52. Ulaby, F.T. 1981. Microwave response of vegetation. Advanced Space Research, Vol. 1, pp. 55-70.
53. Ulaby, F.T. 1998. SAR bio-physical retrievals: lessons learned and challenges to overcome. In Proceedings of the 2nd International Workshop on Retrieval of Bio-and Geo-physical Parameters from SAR Data for Land applications, 21-23 Oct. 1998, Noordwijk, The Netherlands. Noordwijk, The Netherlands. European Space Research and Space Technology Centre (ESTEC), Noordwijk, The Netherlands.
54. van Zyl, J.J. 1989. Unsupervised classification of scattering behavior using radar polarimetry data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 27, No. 1, pp. 36-45.
55. Warner, T., Bell, R., and Singhroy, V. 1996. Local incidence angle effects on X-and C-band radar backscatter of Boreal forest communities. Canadian Journal of Remote Sensing, Vol. 22, No. 3, pp. 269-279.
56. Weimann, A., Von Schonermark, M., Schumann, A., Jorn, P., and Gunther, R. 1998. Soil moisture estimation with ERS-1 SAR data in the East-German loess soil area. International Journal of Remote Sensing, Vol. 19, No. 2, pp. 237-243.
57. Wooding, M.G. 1995. Satellite radar in agriculture experience with ERS-1. ESA Earth Observation Quarterly No. 49. Available from http://esapub.esrin.esa.it/eoq/eoq49/wood49.htm [accessed September 2003].