Annual and interannual variability of NDVI in Brazil and its connections with climate

International Journal of Remote Sensing

Volumn 24, Issue 18, 2003, Pages 3595-3609

  Gurgel, H C ^a   Ferreira, N J ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; ELECTROMAGNETIC WAVES; RADIOMETERS; REMOTE SENSING; VEGETATION;

INTERANNUAL VARIABILITY;

CLIMATOLOGY;

ANNUAL VARIATION; AVHRR; CLIMATE EFFECT; NDVI; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; VEGETATION COVER;

BRAZIL;

EID: 0142218536     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/0143116021000053788     Document Type: Article

References (32)

1. ALMEIDA, E. S., 1997. Relationship between NDVI-AVHRR anti rainfall in Amazonia. Master degree dissertation in Remote Sensing [in Portuguese]. Divisão de Sensoriamento Remoto, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, Brazil.
2. ANYAMBA, A., and EASTMAN, J. R., 1996, Interannual variability of NDVI over Africa and its relation to El Niño/Southern Oscillation. International Journal of Remote Sensing, 13, 2533-2548.
3. BARBOSA, H. A., 1998, Spatial and temporal analysis of vegetation index derived from AVHRR/NOAA and rainfall over Northeastern Brazil during 1982-1985. Master degree dissertation in Remote Sensing [in Portuguese]. Divisão de Sensoriamento Remoto. Instituto Nacional de Pesquisas Espaciais, São José dos Campos. Brazil.
4. BATISTA, G. T., SHIMABUKURO, Y. E., and LAWRENCE, W. T, 1997, The long-term monitoring of vegetation cover in the Amazonian region of northern Brazil using NOAA-AVHRR data. International Journal of Remote Sensing, 18, 3195-3210.
5. EASTMAN, J. R., and FULK, M., 1993. Long sequence time series evaluation using standardized principal components. Photogrammetric Engineering and Remote Sensing, 59, 991-996.
6. EKLUNDH, L., and SINGH, A., 1993, A comparative analysis of standardized and unstandardized Principal Components Analysis in remote sensing. International Journal of Remote Sensing, 14, 1359-1370.
7. GUTMAN, G. G., 1991, Vegetation indices from AVHRR: an update and future prospects. Remote Sensing of Environment, 35, 121-136.
8. GUTMAN, G. G., and IGNATOV, A., 1995, Global land monitoring from AVHRR: potential and limitations. International Journal of Remote Sensing, 16, 2301-2309.
9. HAAN, C. T., 1977, Statistical Methods in Hydrology (Ames: Iowa State University Press).
10. HEDDINGHAUS, T. R., and KRUEGER, A. F., 1981, Annual and interannual variations in outgoing longwave radiation over the tropics. Monthly Weather Review, 109, 1208-1218.
11. HELLDEN, U., and EKLUNDH, L., 1988, National drought impact monitoring: a NOAA NDVI and rainfall data study of Ethiopia. Lund Studies in Geography: serie C. (Lund: Lund University Press), Vol. 15, 55 pp.
12. INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATISTICA (IBGE), 1993, Recursos naturais e meio ambiente: uma visão do Brasil. Departamento de Recursos Naturais e Estudos Ambientais. 154 pp.
13. KAUFMAN, Y. J., and HOLBEN, B. N., 1993, Calibration of the visible and near-IR bands by atmospheric scattering, ocean glint and desert reflection. International Journal of Remote Sensing, 14, 21-52.
14. KOUSKY, V. E., and KAYANO, M. T., 1994. Principal modes of outgoing longwave radiation and 250 mb circulation for the South American sector. Journal of Climate, 7, 1131-1143.
15. KUTZBACH, J. E., 1967, Empirical eigenvectors of sea-level pressure, surface temperature and rainfall complexes over North America. Journal of Applied Meteorology, 6, 791-802.
16. LIU, W. T., MASSAMBANI, O., and FESTA, M., 1991, Normalized difference vegetation index for the south American continent used as a climatic variability indicator. 24th International Symposium of Remote Sensing of Environment, Rio de Janeiro, 27-31 May 1991 (Ann Arbor: ERIM), pp. 725-732.
17. LOS, S. O., JUSTICE, C. O., and TUCKER, C. J., 1994, A global 1° by 1° NDVI data set for climate studies derived from GIMMS continental NDVI data. International Journal of Remote Sensing, 15, 3493-3518.
18. OHRING, G., GRUBER, A., and ELLINGSON, R., 1984, Satellite determination of the relationship between total longwave radiation flux and infrared window radiance. Journal of Climate and Applied Meteorology, 23, 416-425.
19. RAO, V. B., and HADA, K., 1990. Characteristics of rainfall over Brazil: annual variations and connections with the Southern Oscillation. Theoretical and Applied Climatology, 42, 81-91.
20. RICHARD, Y., and POCCARD, I., 1998, A statistical study of NDVI sensitivity to seasonal and interannual rainfall variations in Southern Africa. International Journal of Remote Sensing, 19, 2907-2920.
21. RICHMAN, M. B., 1986, Rotation of principal components. Journal of Climatology, 6, 293-335.
22. RODERICK, M., SMITH, R., and CRIDLAND, S., 1996, The precision of the NDVI derived from AVHRR observations. Remote Sensing of Environment, 56, 57-65.
23. ROUSE, J. W., HASS, R. W., SCHELL, J. A., DEERING, D. W., and HARLAN, J. C., 1974, Monitoring the vernal advancement and retrogradiation (green wave effect) of natural vegetation. NASA/GSFCT Type III Final Report, Greenbelt, MD, USA.
24. SCHULTZ, P. A., and HALPERT, M. S., 1995, Global analysis of the relationships among a vegetation index, rainfall and land surface temperature. International Journal of Remote Sensing, 16, 2755-2777.
25. SINGH, A., and HARRISON, A., 1985, Standardized principal components. International Journal of Remote Sensing, 6, 883-896.
26. SIPPEL, S. J., HAMILTON, S. K., MELACK, J. M., and Novo, E. M. M., 1998, Passive microwave observations of inundation area and the area/stage relation in the Amazon River floodplain. International Journal of Remote Sensing, 19, 3055-3074.
27. STOWE, L. L., CAREY, R. M., and PELLEGRINO, P. P., 1992, Monitoring the Mt. Pinatubo aerosol layer with NOAA-11 AVHRR data. Geophysical Research Letters, 19, 159-162.
28. TOWNSHEND, J. R. G., JUSTICE, C. O., and KALB, V. T., 1987, Characterization and classification of South American land covertypes using satellite data. International Journal of Remote Sensing, 8, 1189-1207.
29. TRENBERTH, K. E., 1997, The definition of El Niño. Bulletin of the American Meteorological Society, 78, 2771-2777.
30. TUCKER, C. J., and SELLERS, P. J., 1986, Satellite remote sensing of primary production. International Journal of Remote Sensing, 7, 1395-1416.
31. WALISER, D. E., and ZHOU, W. F., 1997, Removing satellite equatorial crossing time biases from the OLR and HRC databases. Journal of Climate, 10, 2125-2146.
32. WILKS, D. S., 1995, Statistical Methods in the Atmospheric Sciences (San Diego Academic Press).