%0 Conference Proceedings
%4 sid.inpe.br/iris@1912/2005/07.19.21.05.45
%2 sid.inpe.br/iris@1912/2005/07.19.21.05.50
%@isbn 0277786X
%F 8465
%T Spatial-temporal analysis NOAA/AVHRR vegetation index and rainfall in the northeast region of Brazil in 1982-85
%D 1998
%A Barbosa, Humberto A.,
%A Setzer, Alberto Waingort,
%@affiliation
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%E E. T., Engman,
%B Conference on Remote Sensing for Agriculture, Ecosystems and Hydrology. (EUROPTO).
%C Barcelona
%8 20-27 Sept. 1998
%I SPIE
%J Bellingham, WA
%V SPIE - 3499
%P 176-186
%S Proceedings
%K Climate change, Correlation methods, Drought, Radiometry, Rain, Rain gages, Vegetation, Advanced very high resolution radiometry (AVHRR), Normalized difference vegetation index (NDVI), Rain greenness ration (RGR).
%X This work analyzes the spatial and temporal variation of Normalized Difference Vegetation Index (NDVI)and rainfall in the Northeast region of Brazil (NEB), between 1 degree to 18 degree S and 35 degree to 470W. Studied were the dry years of 1982 and 1983 and the rainy years of 1984 and 1985, covering the intense El Niflo-Southem Oscillation (ENSO)event of 1982-83. Ten test-areas representing prevailing and different phitophysiognornies of the region were used for temporal analysis. The spatial analysis was based on a grid of 5,571 rainfall data points spaced by 0,25 degree in latitude and longitude, interpolated from the original rain-gauge measurements. In relation to previous NEB studies, the subdivision of the vegetation in classes and the use of correlations with time lags were introduced. The results showed that: i)NDVI and rainfall monthly data follow similar patterns on a temporal and spatial basis, being statistically correlated where the NDVI can depict the rainfall regime in periods of unusual droughts or rain in NEB; H)the best correlation was found between the combined rainfall of two consecutive months with the NDVI of the latter these two months; W)there was also an NDVI increase in the rainy season for the extremely dry year of 1983; iv)NDVI and rainfall better represented the vegetation hydric potential in the form of a ratio, or Rain Greenness Ration (RGR), rather than separately, and; v)the largest NDVI variation occurred for the urban areas class. Thf results indicate the potential use of satellite NDVI imagery to monitor drought occurrences as well as to study climatic variability on a regional scale.
%@language en
%3 INPE 7157.pdf