A study of the El Niño-Southern Oscillation influence on vegetation indices in Brazil using time series analysis from 1995 to 1999

References

• Andrade , J. S. Jr , Wainer , I. , Mendes Filho , J. and Moreira , J. E. 1995 . Self-organized criticality in the El Niño Southern Oscillation . Physica A , 215 : 331 – 338 .
   Google Scholar
• Anyamba , A. and Eastman , J. 1996 . Interannual variability of NDVI over Africa and its relation to El Niño/Southern Oscillation . International Journal of Remote Sensing , 17 : 2533 – 2548 .
   Web of Science ®Google Scholar
• Asner , G. P. , Townsend , A. R. and Braswell , B. H. 2000 . Satellite observation of El Niño effects on Amazon forest phenology and productivity . Geophysical Research Letters , 27 : 981 – 984 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Beurs , K. M. and Henebry , G. M. 2005 . A statistical framework for the analysis of long image time series . International Journal of Remote Sensing , 26 : 1551 – 1573 .
   Google Scholar
• Cane , M. A. , Zebiak , S. E. and Dolan , S. C. 1986 . Experimental forecasts of El Niño . Nature , 321 : 827 – 832 .
   Web of Science ®Google Scholar
• Cavalcanti , I. F.A. 1996 . “ Episódios El Niño/Southern Oscillation durante a década de 1986 a 1996 e suas influências sobre o Brasil ” . In Boletim de Monitoramento e Análise Climática – Climanálise , Edição especial comemorativa de 10 anos .
   Google Scholar
• Ceaul, 2005, Dados correlacionados na análise en componentes principais. http://www.ceaul.fc.ul.pt/en/seeevent.html?id=87 (Accessed: October 2005 ).
   Google Scholar
• Crosta , A. P. 1993 . Processamento digital de imagens de sensoriamento remoto , Campinas, UNICAMP : Instituto de Geociências .
   Google Scholar
• Dessay , N. , Laurent , H. , Machado , L. A.T. , Shimabukuro , Y. E. , Batista , G. T. , Diedhiou , A. and Ronchail , J. 2004 . Comparative study of 1982–1983 and 1997–1998 El Niño events over different types of vegetation in South America . International Journal of Remote Sensing , 25 : 4063 – 4077 .
   Google Scholar
• Goward , S. N. , Dye , D. G. , Turner , S. and Yang , J. 1993 . Objective assessment of the NOAA global vegetation index data product . International Journal of Remote Sensing , 14 : 3365 – 3394 .
   Web of Science ®Google Scholar
• Gurgel , H. C. and Ferreira , N. J. 2003 . Annual and interannual variability of NDVI in Brazil and its connections with climate . International Journal of Remote Sensing , 24 : 3595 – 3609 .
   Web of Science ®Google Scholar
• Gutman , G. G. 1991 . Vegetation indices from AVHRR: an update and future prospects . Remote Sensing of Environment , 35 : 121 – 136 .
   Web of Science ®Google Scholar
• Ibge . 2001 . Introdução ao processamento digital de imagens, IBGE, Primeira Divisão de Geoprocessamento do Nordeste , Rio de Janeiro : IBGE, Série Manuais Técnicos em Geociências .
   Google Scholar
• Jin , Y.-H. , Kawamura , A. , Jinno , K. and Berndtsson , R. 2005 . Quantitative relationship between SOI and observed precipitation in southern Korea and Japan by nonparametric approaches . Journal of Hydrology , 301 : 54 – 65 .
   Google Scholar
• Kane , R. P. 2001 . Limited effectiveness of El Niños in causing droughts in NE Brazil and the prominent role of Atlantic parameters . Brazilian Journal of Geophysics , 19 : 231 – 236 .
   Google Scholar
• Kogan , F. N. 1995a . Applications of vegetation index and brightness temperature for drought detection . Advance Space Research , 15 : 91 – 100 .
   PubMed Web of Science ®Google Scholar
• Kogan , F. N. 1995b . Droughts of the late 1980s in the United States as derived from NOAA polar orbiting satellite data . Bulletin of the American Meteorological Society , 76 : 655 – 668 .
   Web of Science ®Google Scholar
• Kogan , F. N. 1997 . Global drought watch from space . Bulletin of the American Meteorological Society , 78 : 621 – 636 .
   Web of Science ®Google Scholar
• Kogan , F. N. 2000 . Satellite-observed sensitivity of world land ecosystems to El Niño/La Niña . Remote Sensing of Environment , 74 : 445 – 462 .
   Web of Science ®Google Scholar
• Liu , W. T. and Juárez , R. I.N. 2001 . ENSO drought prediction of northeast Brazil using NDVI . International Journal of Remote Sensing , 22 : 3483 – 3501 .
   Web of Science ®Google Scholar
• Lorenz , E. N. 1991 . The general circulation of the atmosphere: an involving problem . Tellus , 43AB : 8 – 15 .
   Google Scholar
• Los , S. O. , Justice , C. O. and Tucker , C. J. 1994 . A global 1° by 1° NDVI data set for climate studies derived from the GIMMS continental NDVI data . International Journal of Remote Sensing , 15 : 3493 – 3518 .
   Web of Science ®Google Scholar
• Los , S. O. , Collatz , G. J. , Sellers , P. J. , Malmstrom , C. M. , Pollack , N. H. , Defries , R. S. , Bounoua , L. , Parris , M. T. , Tucker , C. J. and Dazlich , D. A. 2000 . A global 9-year biophysical land surface dataset from NOAA AVHRR data . Journal of Hydrometeorology , 1 : 183 – 199 .
   Web of Science ®Google Scholar
• Myneni , R. B. , Los , S. O. and Tucker , C. J. 1996 . Satellite-based identification of linked vegetation index and sea surface temperature anomaly areas from 1982–1990 for Africa, Australia and South America . Geophysical Research Letters , 23 : 729 – 732 .
   Web of Science ®Google Scholar
• Oliveira , L. M. T. 2008 . Estudo das regiões fitoecológicas Brasileiras pela FAPAR/NDVI e relações com séries temporais de dados pluviométricos , DSc thesis, Federal University of Rio de Janeiro .
   Google Scholar
• Ortlleb , L. and Macharé , J. 1993 . Former El Niño events: records from western South America . Global and Planetary Change , 7 : 181 – 202 .
   Google Scholar
• Peixoto , J. P. and Oort , A. H. 1992 . Physics of Climate , New York, NY : Springer .
   Google Scholar
• Pellegrino , G. Q. , Moraes , J. M. and Victória , R. L. Análise de séries temporais de dados meteorológicos no SGI-IDRISI: avaliação do módulo TSA . Anais do VIII Simpósio Brasileiro de Sensoriamento Remoto . April 1996 , Salvador, BA. pp. 727 – 728 . São José dos Campos, SP : National Institute of Space Research .
   Google Scholar
• Philander , S. 1990 . El Niño, La Niña and the Southern Oscillation , San Diego : Academic Press .
   Google Scholar
• Richards , J. A. 1986 . Remote Sensing Digital Image Analysis. An Introduction , Berlin : Springer-Verlag .
   Google Scholar
• Sellers , P. J. , Los , S. O. , Tucker , C. J. , Justice , C. O. , Dazlich , D. A. , Collatz , G. J. and Randall , D. A. 1996 . A revised land surface parameterization (SiB2) for atmospheric GCMs. Part 2: the generation of global fields of terrestrial biophysical parameters from satellite data . Journal of Climate , 9 : 706 – 737 .
   Web of Science ®Google Scholar
• Singh , R. P. , Roy , S. and Kogan , F. 2003 . Vegetation and temperature condition indices from NOAA AVHRR data for drought monitoring over India . International Journal of Remote Sensing , 24 : 4393 – 4402 .
   Web of Science ®Google Scholar
• Song , X. , Saito , G. , Dodama , M. and Sawada , H. 2004 . Early detection system of drought in East Asia using NDVI from NOAA/AVHRR data . International Journal of Remote Sensing , 25 : 3105 – 3111 .
   Web of Science ®Google Scholar
• Stöckli , R. 2004 . “ Modeling and observation of seasonal land – surface heat and water exchanges at local and catchments scales over Europe ” . In Thesis (Doctor in Natural Sciences) , Swiss Federal Institute of Technology, ETH .
   Google Scholar
• Stöckli , R. and Vidale , P. L. 2004 . European plant phenology and climate as seen in a 20-year AVHRR land-surface parameter dataset . International Journal of Remote Sensing , 25 : 3303 – 3330 .
   Web of Science ®Google Scholar
• Wolter , K. and Timlin , M. S. 1998 . Measuring the strength of ENSO – how does 1997/98 rank? . Weather , 53 : 315 – 324 .
   Google Scholar