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A caatinga e um bioma de grande diversidade que cobre a maior parte da area de clima semiarido brasileiro. Varias tecnicas ja foram utilizadas com o objetivo de determinar quantitativamente e qualitativamente o estado da vegetacao a partir de imagens de satelite, e indices de vegetacao foram desenvolvidos para auxiliar no mapeamento da vegetacao, otimizando parâmetros de medidas espectrais utilizadas com esse fim. Este trabalho teve como objetivo analisar e avaliar indices espectrais (NDVI, SAVI e EVI) para mapear a vegetacao de caatinga. Concluiu-se que o melhor indice que se correlaciona com a cobertura vegetal da caatinga foi o Normalized Difference Vegetation Index (NDVI), para o periodo seco, e o padrao de resposta espectral do periodo seco diminuiu os confundimentos de alvos de vegetacao da caatinga. Estimou-se que 29,7% da area da bacia do rio Taperoa esteja em processo avancado de desertificacao. Spectral analysis and evaluation of vegetation indices for mapping caatinga ABSTRACT: The caatinga biome is a large diversity that covers most of the area of Brazilian semi-arid climate. Several techniques have been used in order to determine quantitatively and qualitatively the state of vegetation from satellite images and vegetation indices were developed to assist in vegetation mapping, optimizing spectral measurement parameters used for this purpose. This study aimed to analyze and evaluate spectral indices (NDVI, SAVI and EVI) to map the caatinga vegetation. It was concluded that the best index that correlates with the caatinga vegetation was the Normalized Difference Vegetation Index (NDVI) for the dry period, and the pattern of spectral response of the dry period decreased confounding targets of caatinga vegetation. It was estimated that 29.7% of the area of the river basin Taperoa is in advanced process of desertification.

Análise espectral e avaliação de índices de vegetação para o mapeamento da caatinga