ABSTRACT:The search for low subjectivity area estimates has increased the use of remote sensing for agricultural monitoring and crop yield prediction, leading to more flexibility in data acquisition and lower costs comparing to traditional methods such as census and surveys. Low spatial resolution satellite images with higher frequency in image acquisition have shown to be adequate for cropland mapping and monitoring in large areas. The main goal of this study was to map the Summer crops in the State of Paraná, Brazil, using 10-day composition of NDVI SPOT Vegetation data for 2005/2006, 2006/2007 and 2007/2008 cropping seasons. For this, a supervised digital classification method with Parallelepiped algorithm in multitemporal RGB image composites was used, in order to generate masks of Summer cultures for each 10-day composition. Accuracy assessment was performed using Kappa index, overall accuracy and Willmott's concordance index, resulting in good levels of accuracy. This methodology allowed the accomplishment, with free and low resolution data, of the mapping of Summer cultures at State level.KEYWORDS: remote sensing, time series, crop yield estimates. MAPEAMENTO DE CULTURAS DE VERÃO NO ESTADO DO PARANÁ POR MEIO DE COMPOSIÇÕES DECENDIAIS DE NDVI DO SENSOR SPOT VEGETATION RESUMO:A busca por menor subjetividade em estimativas de área tem aumentado a utilização do sensoriamento remoto para monitoramento agrícola e previsão de safras, pois proporciona maior agilidade na aquisição de dados e menor custo em relação a métodos tradicionais de censos e pesquisas. Imagens de satélite de baixa resolução espacial e alta periodicidade são adequadas para o mapeamento, acompanhamento e desenvolvimento de culturas em áreas extensas. O objetivo deste trabalho foi mapear culturas de verão no Estado do Paraná por meio de composições decendiais de imagens NDVI do satélite SPOT Vegetation para safras de

which belong to the Tambaú-Verde basin, located in the Northeastern region of São Paulo state. The identification of irrigated areas was performed based on images of the satellite CBERS 2. Mapping was carried out by visual identification of pivots and conversion of the targets of interest into vectors generated by the CCD image, 155/124 orbit-point, acquisition data in 07/21/2007, with space resolution of 20 m and spectral bands 2, 3 and 4. The UTM and SAD69 coordinate systems, spindle 23 South were adopted. The results showed 420 center pivots and the location of higher pivot groupings in each city, amounting to more than 16 thousand hectares of irrigated area. Approximately eight thousand hectares out of this total are located in the sub-basin Tambaú-Verde. Casa Branca city by itself has 188 pivots in more than 9 thousand hectares, which means that 11% of the territorial area of this city is irrigated by the center-pivot system. Images of the CBERS satellite associated with SIG proved to be efficient tools for mapping and monitoring center-pivot irrigated areas.

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ResumoEsta pesquisa teve como objetivo analisar o potencial para expansão do cultivo da cana-de-açúcar em Moçambique, identificando as áreas com melhor aptidão geofísica, socioeconômica e ambiental para aumentar a produção dessa cultura através do uso do método AHP (Analytical Hierarchy Process). Foram utilizados os softwares Idrisi e ArcGis ao longo do projeto e os resultados indicam no mapa as regiões que apresentam melhores características para expansão da cana-de-açúcar no país. Palavras-chaveCana de açucar, Moçambique, georreferenciamento.

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