Characterization and classification of South American Land cover types using satellite data

International Journal of Remote Sensing

Volumn 8, Issue 8, 1987, Pages 1189-1207

  Townshend, J R ^a   Justice, C O ^a   Kalb, V ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ECOSYSTEMS - REMOTE SENSING; RADIOMETERS - APPLICATIONS;

DRAINAGE PATTERN; LAND COVER TYPE CLASSIFICATION; MULTITEMPORAL DATA SETS; SOUTH AMERICAN LAND COVER TYPES; VEGETATION INDEX;

REMOTE SENSING;

EID: 0023391725     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431168708954764     Document Type: Article

References (30)

1. ATJAY, G. L., KETNER, P., and DUVIGNEAUD, P. 1979, In The Global Carbon Cycle, edited by B. Bolin, E. T. Degens, S. Kempe and P. Ketner (New York: Wiley), p. 129.
2. BEARD, J. S., 1956, The savanna vegetation of northern tropical America. Ecological Monographs, 23, 149.
3. EITEN, G. 1972, The ccrrado vegetation of Brazil. The Botanical Review, 38, 201.
4. GERVIN, J. C., KERBER, A. G., WITT, R. G., LU, Y., and SEKHON, R., 1985, Comparison of Level I land cover classification accuracy for MSS and AVHRR data. International Journal of Remote Sensing, 5, 145.
5. GOWARD, S. A, TUCKER, C. J., and Dye, D., 1985, North American vegetation patterns observed with NOAA-7 Advanced Very High Resolution Radiometer. Vegelatio, 64, 3.
6. HOLBEN, B. N., and FRASER, R. S., 1984, Red and near infrared response to off-nadir viewing. International Journal of Remote Sensing, 5, 145.
7. ISTITUTO GEOGRAFICO DE AGOSTINI, 1969, World Atlas of Agriculture, Vol. 3, (Novara, Italy: Istituto Geografico de Agostini).
8. JUSTICE, C. O., and TOWNSHEND, J. R. G., 1981, In Terrain Analysis and Remote Sensing, edited by J. R. G. Townshend (London: George Allen and Unwin).
9. JUSTICE, C. O., TOWNSHEND, J. R. G., HOLBEN, B. N, and TUCKER, C. J., 1985, Analysis of the phenology of global vegetation using meteorological satellite data. International Journal of Remote Sensing, 6, 1271.
10. KUCHLER, A, W., 1980, International Bibliography of Vegetation Maps, Second edition, Section I: South America (Lawrence, Kansas: University of Kansas Library Series), p. 45.
11. LANDGREBE, D. A., 1978, Useful information from multispectral image data: another look. In Remote Sensing: the Quantitative Approach, edited by P. H. Swain and S. M. Davis (New York: McGraw-Hill), p. 336.
12. MEDINA, E., and SARMIENTO, G., 1979, Tropical Grazing Land Ecosystems (Paris: UNESCO).
13. NORWINE, J., and GREEGOR, D. H., 1983, Vegetation classification based on AVHRR satelite imagery. Remote Sensing of Environment, 13, 69.
14. ORMSBY, J. P., 1982, Classification of simulated and actual NOAA-6 AVHRR data for hydrologic land surface feature definition. I.E.E.E. Transactions Geoscience and Remote Sensing, 2, 262.
15. PIRES, J. M., 1978, Tropical Forest Ecosystems (Paris: UNESCO).
16. PRINCE, S. D., and ASTLE, W. L., 1986, Landsat MSS and herbaceous vegetation. International Journal of Remote Sensing, 7, 1515.
17. SCHNEIDER, S. R., MCGINNIS, D. F. Jr., and STEPHENS, G., 1985, Monitoring Africa’s Lake Chad Basin with Landsat and NOAA satellite data. International Journal of Remote Sensing, 6, 59.
18. SCHOLTEN, J. J., 1971, Soil Map of the World (1:5 million) and accompanying memoir (Paris: FAO-UNESCO).
19. SELLERS, P. J., 1985, Canopy reflectance photosynthesis and transpiration. International Journal of Remote Sensing, 6, 1335.
20. SOCHAVA, V. B., and RODIN, L. E, 1964, Physico-Geoyraphical Atlas of the World, edited by I. P. Gerassimov (Moscow: Academy of Sciences of the USSR).
21. SWAIN, P. H., 1978, Fundamentals of pattern recognition in remote sensing. In Remote Sensing: the Quantitative Approach, edited by P. H. Swain and S. M. Davis (New York: McGraw-Hill), p. 136.
22. TOWNSHEND, J. R. G., GOFF, T. E., and TUCKER, C. J., 1985, Multitemporal dimensionality of images of normalized difference vegetation index at continental scales. I.E.E.E. Transactions Geoscience and Remote Sensing, 23, 888.
23. TOWNSHEND, J. R. G., Justice, C. O., and TUCKER, C. J., 1986, Techniques for continental land cover classification using remotely sensed data. In Mapping from Modern Imagery. Proceedings of Commission IV of the ISPRS and the Remote Sensing Society, Edinburgh, (Nottingham: Remote Sensing Society), p. 34.
24. TUCKER, C. J., FUNG, I. Y., KEELING, C. D., and GAMMON, R. H., 1986, Relationship between atmospheric CO2 variations and a satellite-derived vegetation index. Nature, London, 319, 195.
25. TUCKER, C. J, and SELLERS, P. J., 1986, Satellite remote sensing of primary production. International Journal of Remote Sensing, 7, 1395.
26. TUCKER, C. J., TOWNSHEND, J. R. G., and GOFF, T. E., 1985, African land cover classification using satellite data. Science, N. Y., 227, 369.
27. TUCKER, C. J., VANPRAET, C., and BOERWINKLE, E., 1983, Satellite remote sensing of total drymatter accumulation in the Senegalese Sahel. Remote Sensing of Environment, 13, 461.
28. UNESCO, 1973, International Classification and Mapping of Vegetation (Paris: UNESCO).
29. UNESCO, 1981, Vegetation Map of South America (1:5 million) and accompanying explanatory notes (Paris: UNESCO).
30. WIEBECKE, C., 1965, Weltforsiatlas (Hamburg-Reinbeck: Franz Haller Verlag).