Identificação do uso e ocupação das terras no Estado do Piauí e sua relação com os eventos extremos de precipitação.

Abstract

Aiming to verify the spatio-temporal dynamics of land use and occupation in the Brazilian state of Piauí and to understand the relationship between landscape and extreme weather events, this study exploited Remote Sensing technics, daily precipitation reports and Sea Surface Temperature (SST) anomalies data to understand the influence of precipitation regime on the vegetation dynamics within the state of Piauí. Therefore, daily precipitation data, Landsat TM 5 images and SST data were analyzed together. Precipitation data were entered into the RClimdex software and thereafter it was obtained tendencies for eleven extreme precipitation indexes. Satellite images were entered in the SPRING software and ,by techniques of digital image processing, it was obtained Normalized Difference Vegetation Idexes (NDVI) and, from them, land use and occupation were classified. SST data were related with precipitation data trough Pearson Correlation. Ultimately, thematic maps were obtained and coincided with the correlations between extreme weather tendencies and SST anomalies. Thereby, maps were analyzed in tandem with extreme weather tendencies and SST anomalies and it was found that the northern part of the state receives more influences from global scale events. The central and southern sides have their rainfall pattern influenced by local scale system.