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

• Published in: International journal of remote sensing 2010-03, Vol.31 (2), p.423-437
• Main Authors: Oliveira, L. M. T., França, G. B., Nicácio, R. M., Antunes, M. A. H., Costa, T. C. C., Torres, A. R., França, J. R. A.
• Format: Article
• Language: English
• Subjects: Animal, plant and microbial ecology; Applied geophysics; Biological and medical sciences; Earth sciences; Earth, ocean, space; Eigenvectors; Exact sciences and technology; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; Internal geophysics; Marine; Oscillations; Pacific Ocean; Polar orbits; Position (location); Teledetection and vegetation maps; Time series analysis; Transformations; Vegetation
• ISSN: 0143-1161; 1366-5901
• DOI: 10.1080/01431160902893477

This study aims at improving the understanding of the behaviour of vegetation in Brazil due to the regional influences of climatic events, specifically the El Niño-Southern Oscillation (ENSO). To accomplish this we used a set of filtered data from the European Fourier-Adjusted and Interpolated Normalized Difference Vegetation Index (EFAI-NDVI), generated by the Advanced Very High Resolution Radiometer (AVHRR), along with the Vegetation Condition Index (VCI), with spatial resolution of 0.1° × 0.1° and temporal resolution of 10 days, covering the period from 1995 to 1999. Through analysis of these time series based on principal components transformation, we evaluated the influence and location of the ENSO effects in both datasets. The results show teleconnection patterns between climatic conditions in the Pacific Ocean and vegetation in specific locations in Brazil. Principal component 9 of the EFAI-NDVI presented significant correlations with the Southern Oscillation Index (SOI), R = −0.48, and with the Multivariate ENSO Index (MEI), R = 0.62, at p < 0.01. For the VCI, principal component 3 showed the greatest relations with the SOI, R = 0.45, and MEI, R = −0.51, at p < 0.01. The use of VCI has not improved the response of the ENSO's teleconnection in relation to NDVI. The eigenvector field of component EFAI-NDVI indicated a greater influence of the phenomenon, mainly in the north, north-east and parts of the southern regions of the country. These findings show that data on plant cover reflectance captured by polar orbit satellites can be used as indicators of interannual climatic variability.