Spectral analysis and classification accuracy of coffee crops using Landsat and a topographic-environmental model

International Journal of Remote Sensing

Volumn 28, Issue 7, 2007, Pages 1577-1593

  Cordero Sancho, S ^a   Sader, S A ^a  

^a UNIVERSITY OF MAINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; MAPPING; MATHEMATICAL MODELS; REMOTE SENSING; SATELLITE IMAGERY; SPECTRUM ANALYSIS; TOPOGRAPHY;

COFFEE CROPS; LANDSAT ENHANCED THEMATIC MAPPER; TOPOGRAPHIC-ENVIRONMENTAL MODEL;

AGRICULTURE;

ACCURACY ASSESSMENT; COFFEE; CROP PLANT; DATA SET; DISCRIMINANT ANALYSIS; LAND CLASSIFICATION; LAND COVER; LANDSAT THEMATIC MAPPER; MAPPING; NDVI; SATELLITE IMAGERY; SPECTRAL ANALYSIS; STRATIFICATION; TOPOGRAPHY; WOODLAND;

CENTRAL AMERICA; COSTA RICA;

EID: 34147103795     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160600887680     Document Type: Article

References (31)

1. Asner, G. P., Keller, M., Pereira, R. and Zweede, J. C. (2002) Remote sensing of selective logging in Amazonia assessing limitations based in detailed field observations, Landsat ETM+, and texture analysis. Remote Sensing of Environment, 80, pp. 483-496.
2. Baban, S. M. J. and Yusof, K. W. (2001) Mapping land use/cover distribution on a mountainous tropical island using remote remote sensing and GIS. International Journal of Remote Sensing, 22, pp. 1909-1918.
3. Carlson, T. N. and Sánchez-Azofeifa, G. A. (1999) Satellite remote sensing of land use changes in and around San José, Costa Rica. Remote Sensing of Environment, 70, pp. 247-256.
4. Colby, J. D. and Keating, P. L. (1998) Land cover classification using Landsat TM imagery in tropical highlands: The influence of anisotropic reflectance. International Journal of Remote Sensing, 19, pp. 1479-1500.
5. Congalton, R. G. and Green, K. (1998) Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, Lewis Publishers, New York
6. Cordero-Sancho, S. (2004) Landsat spectral analysis, waveband selection and classification accuracy assessment of coffee plantations in Central America., Department of Forest Management, University of Maine
7. DeFries, R., Hansen, M., Steininger, M., Dubayah, R., Sohlberg, R. and Townshend, J. (1997) Subpixel forest cover in Central Africa from multisensor, multitemporal data. Remote Sensing of Environment, 60, pp. 228-246.
8. Dorren, L. K. A., Maier, B. and Seijmonsbergen, A. C. (2003) Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification. Forest Ecology and Management, 183, pp. 31-46.
9. Helmer, E. H., Brown, S. and Cohen, W. B. (2000) Mapping montane tropical forest successional stage and land use with multi-date Landsat imagery. International Journal of Remote Sensing, 21, pp. 2163-2183.
10. Holben, B. N. and Justice, C. O. (1980) The topographic effects on spectral response from nadir pointing sensors. Photogrammetric Engineering and Remote Sensing, 46, pp. 1191-1200.
11. Holdridge, L. (1967) Life Zone Ecology, Tropical Science Center, San Jose
12. Hurtt, G., Xiao, X., Keller, M., Palace, M., Asner, G. P., Braswell, R., Brondízio, E. S., Cardoso, M., Carvalho, C. J. R., Fearon, M. G., Guild, L., Hagen, S., Hetrick, S., Moore III, B., Nobre, C., Read, J. M., Sá, T., Schloss, A., Vourlitis, G. and Wickel, A. J. (2003) IKONOS imagery for the large-scale biosphere-atmosphere experiment in Amazonia (LBA). Remote Sensing of Environment, 88, pp. 111-127.
13. Instituto Costarricense del Café (ICAFE), (1998) Manual de Recomendaciones Para el Cultivo del Café, Guilá, Heredia
14. Jensen, J. R. (1996) Introductory Digital Image Processing, Prentice Hall, New Jersey
15. Landis, J. and Koch, G. (1977) The measurement of observer agreement for categorical data. Biometrics, 33, pp. 159-174.
16. Langford, M. and Bell, W. (1997) Land cover mapping in a tropical hillsides environment: A case study in the Cauca region of Colombia. International Journal of Remote Sensing, 18, pp. 1289-1306.
17. Lieberman, D., Lieberman, M., Peralta, R. and Hartshorn, G. S. (1996) Tropical forest structure and composition on large-scale altitudinal gradient in Costa Rica. Journal of Ecology, 84, pp. 137-152.
18. Lillesand, T. M. and Kiefer, R. (2000) Remote Sensing and Image Interpretation, John Wiley and Sons, New York
19. Luvall, J. C., Lieberman, D., Lieberman, M., Hartshorn, G. S. and Peralta, R. (1990) Estimation of tropical forest canopy temperatures, thermal response numbers, and evapotranspiration using aircraft-based thermal sensor. Photogrammetric Engineering and Remote Sensing, 56, pp. 1393-1401.
20. Mas, J. F. (2004) Mapping land use/cover in tropical coastal area using satellite sensor data, GIS and artificial neutral networks. Estuarine, Coastal and Shelf Sciences, 59, pp. 219-230.
21. McGarigal, K., Cushman, S. and Stafford, S. (2000) Multivariate Statistic for Wildlife and Ecology Research, pp. 129-187. Springer-Verlag, New York
22. Moran, E. F., Brondizio, E., Mausel, P. and Wu, Y. (1994) Integrating Amazon vegetation, and use, and satellite data. Bioscience, 44, pp. 329-338.
23. Nichol, J. E. (1994) An examination of tropical rain forest microclimate using GIS modeling. Global Ecology and Biogeography Letters, 4, pp. 69-78.
24. Ramírez-García, P., López-Blanco, J. and Ocaña, D. (1998) Mangrove vegetation assessment in Santiago River Mouth, Mexico, by means of supervised classification using Landsat TM imagery. Forest Ecology and Management, 105, pp. 217-229.
25. Sader, S. A., Waide, R. B., Lawrence, W. T. and Joyce, A. T. (1989) Tropical forest biomass and successional age class relationships to a vegetation index derived from Landsat TM data. Remote Sensing of Environment, 28, pp. 143-156.
26. Sader, S. A., Stone, T. A. and Joyce, A. T. (1990) Remote sensing of tropical forest: An overview of research and applications using non-photographic sensors. Photogrammetric Engineering and Remote Sensing, 56, pp. 1343-1351.
27. Sader, S. A., Hayes, D. J., Irwin, D. E. and Saatchi, S. S. (2001) Preliminary forest cover estimates for Central America (1990s) with reference to the proposed Mesoamerican Biological Corridor. In American Society for Photogrammetry and Remote Sensing, 2001 Annual Meeting, St Louis, Missouri American Society for Photogrammetry and Remote Sensing (ASPRS), American Society for Photogrammetry and Remote Sensing (ASPRS), Bethesda, Maryland, USA
28. Souza Jr., C., Firestone, L., Moreira-Silva, L. and Roberts, D. (2003) Mapping forest degradation in Eastern Amazon from Spot 4 through spectral mixture models. Remote Sensing of Environment, 87, pp. 494-506.
29. Stein, A., der Merr, F. Vand and Gorte (Eds), B. (2002) Spatial Statistics for Remote Sensing, Kluwer Academic Publisher, Boston
30. Steininger, M. K. (1996) Tropical secondary forest regrowth in the Amazon: Age, area and change estimation with thematic mapper data. International Journal of Remote Sensing, 17, pp. 9-27.
31. Trisurat, Y., Eiumnoh, A., Murai, S., Hussain, M. Z. and Shrestha, R. P. (2000) Improvement of tropical vegetation mapping using a remote sensing technique: A case of Khao Yai National Park, Thailand. International Journal of Remote Sensing, 21, pp. 2031-2042.