CHARACTERIZATION OF THE AGRICULTURE OCCUPATION IN THE CERRADO BIOME USING MODIS TIME-SERIES

ABSTRACT .This paper aims to characterize the agriculture expansion in the Cerrado biome using time-series data of Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. The study area is the municipality of Luis Eduardo Magalhaes (Bahia State, Brazil), with recent growth of agribusiness. The methodology can be subdivided into the following steps: 1) noise reduction, 2) endmembers identification, and 3) mixing linear analysis. In the noise reduction was applied the following procedures: 1) moving median filter; 2) Minimum Noise Fraction (MNF) transformation, and 3) Inverse MNF transformation. The results provided a significant noise reduction, besides eliminating the atmospheric interferences. Three endmembers were identified: 1) Natural Vegetation; 2) Agriculture; 3) Change Areas (conversion). We used the linear mixture analysis with the selected endmembers to generate fraction images. These images evidenced the agriculture expansion from west to east. These methods overcame the spatial resolution restrictions and evidenced the potential for discriminating the phenology of growing agricultural crops. Keywords : agriculture expansion, cerrado, time-series, MODIS, change detection. RESUMO . O artigo objetiva caracterizar a expansao agricola no bioma Cerrado utilizando dados de series temporais do sensor Moderate Resolution Imaging Spectroradiometer (MODIS). A area de estudo e o municipio de Luis Eduardo Magalhaes (Bahia), com recente crescimento do agronegocio. A metodologia pode ser subdividida nas seguintes etapas: (a) reducao do ruido, (b) identificacao dos membros finais, e (c) analise linear de mistura. Na reducao do ruido foram aplicados os seguintes procedimentos: (a) filtro de mediana, (b) transformacao Minimum Noise Fraction (MNF), e (c) transformacao inversa MNF. Os resultados proporcionaram uma reducao significativa dos ruidos, alem da eliminacao de interferencias atmosfericas. Tres membros finais foram identificados: 1) Vegetacao Natural; 2) Agricultura; 3) Area de Mudanca (Conversao). Foi usada a analise de mistura linear com os membros finais selecionados para gerar as imagens de fracao. Estas imagens evidenciaram a expansao agricola partindo de oeste para leste. Os metodos apresentados proporcionaram a superacao da limitacao da resolucao espacial e evidenciaram um potencial de discriminacao da fenologia de cultivos agricolas. Palavras-chave : expansao agricola, cerrado, series temporais, MODIS, deteccao de mudanca.

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