855 resultados para Monitoramento remoto


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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A evapotranspiração (ET) foi espacializada através do algoritmo SEBAL para uma região de floresta primária na Amazônia Oriental (Caxiuanã, Pará). Para tal, utilizaram-se dados observacionais da torre micrometeorológica (localizada no interior desta floresta) em combinação com dados de origem orbital (imagens Modis/Acqua). Os primeiros resultados indicaram que, apesar da superestimativa, o SEBAL reproduz qualitativamente bem o padrão da variabilidade mensal da evapotranspiração para a região, principalmente para os meses da estação seca; em relação ao quantitativo, os resultados revelaram haver necessidade de acurácia no algoritmo. Para isso, calibrou-se o SEBAL a partir do saldo de radiação (Rn), com ajustes no albedo, na emissividade atmosférica e emissividade da superfície. As estimativas de ET geradas a partir deste SEBAL modificado apresentaram melhorias significativas na reprodução da variabilidade diária da evapotranspiração para a região, principalmente nos meses da estação chuvosa. Isto é, os ajustes realizados no algoritmo mostraram que as taxas de ET estimadas tornaram-se muito mais semelhantes às relatadas na literatura para a Amazônia, concordando melhor com a evapotranspiração observada. Através do SEBAL modificado foi possível também mapear o albedo, o saldo de radiação, o NDVI e a própria ET para duas vegetações distintas, encontradas dentro dos limites de Caxiuanã. A estimativa espacial destes parâmetros biofísicos foi coerentemente reproduzida para as duas vegetações, demonstrando que se o SEBAL modificado for aplicado a dados temporal e espacial de alta resolução, esta técnica pode ser rotineiramente utilizada, tornando-se uma ferramenta fundamental no monitoramento de necessidades hídricas e atmosféricas.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Ciências Cartográficas - FCT

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A borracha natural (BN) de três clones de seringueira [Hevea brasiliensis (Willd. exAdr. de Juss. Muell.-Arg.)] de um período de sete meses foi obtida por coagulação do látex com solução de ácido acético a 10% e seca a 65°C. As curvas TG-DTG foram utilizadas para monitorar as propriedades térmicas da BN. Os resultados indicaram pequenas variações entre clones e coletas, exceto no valor de Tf-T0, indicando que o clone IAC 301 sofre degradação mais rápida durante o processo termo degradação da BN seca. Não houve diferenças significativas nos valores de Tg entre clones e coletas.

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We studied the molecular epidemiology of Staphylococcus aureus strains potentially toxigenic, isolated from the production process of Minas frescal cheese in a small dairy plant in the state of São Paulo. For this, samples were taken during the period from June 2008 to July 2009. Samples were collected from the surface of the receiving and storage tanks of raw milk, the surface of the balance tank of pasteurized milk, the water supply system, the pipes and equipments, the hands of the handler and from the packaged cheese, totaling 140 samples. The colonies isolated on Baird-Parker Agar confirmed as Gram positive and positive for catalase, coagulase and acetoin production, were submitted to extraction of bacterial DNA using the Invitek - Uniscience® kit. Confirmation of the isolated species and enterotoxins SEA, SEB, SEC, SED and TSST-1 toxin was carried out through the amplification of specific fragments of chromosomal DNA. Among the 74 strains of isolated coagulase-positive staphylococci, only 41 (55.4%) strains were confirmed as Staphylococcus aureus, of which 25 (61.0%) were positive to the presence of staphylococcal toxins. The most frequently identified enterotoxin was SEA. The toxigenic strains of Staphylococcus aureus were more frequently isolated from hands of the handler (16.0%), raw milk receiving tank (12.0%), pasteurized milk for cheese making (12.0%) and fresh white cheese ready for consumption (12.0%).

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The object of this work was to study the dynamics of evaporation in the Itumbiara reservoir, located in Central Brazil, using MODIS-derived water surface temperature (product MOD11A1) and meteorological data acquired over the water surface. The evaporation rates were derived from latent heat flux, estimated through a mass transfer model. The estimates were carried out for the period between 1/1/2010 and 31/12/2010. The results showed that evaporation rate tends to increase from January to September and then decrease from September to December. The evaporation rate reached values near 20 mm day-1 in Itumbiara reservoir during the dry season in 2010. The mean evaporation rate for the wet season was 3.66 mm day-1 and 8.25 mm day-1 for the dry season. The total water volume evaporated from Itumbiara reservoir during 2010 was estimated at about 1.7 billion m³ (2,300 mm) which represents 10% of total reservoir volume. The results suggest that advection is the main transport mechanism which drives the evaporation in Itumbiara. The convective processes contribute secondarily to evaporation in Itumbiara reservoir.

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Algae bloom is one of the major consequences of the eutrophication of aquatic systems, including algae capable of producing toxic substances. Among these are several species of cyanobacteria, also known as blue-green algae, that have the capacity to adapt themselves to changes in the water column. Thus, the horizontal distribution of cyanobacteria harmful algae blooms (CHABs) is essential, not only to the environment, but also for public health. The use of remote sensing techniques for mapping CHABs has been explored by means of bio-optical modeling of phycocyanin (PC), a unique inland waters cyanobacteria pigment. However, due to the small number of sensors with a spectral band of the PC absorption feature, it is difficult to develop semi-analytical models. This study evaluated the use of an empirical model to identify CHABs using TM and ETM+ sensors aboard Landsat 5 and 7 satellites. Five images were acquired for applying the model. Besides the images, data was also collected in the Guarapiranga Reservoir, in São Paulo Metropolitan Region, regarding the cyanobacteria cell count (cells/mL), which was used as an indicator of CHABs biomass. When model values were analyzed excluding calibration factors for temperate lakes, they showed a medium correlation (R²=0.81, p=0.036), while when the factors were included the model showed a high correlation (R²=0.96, p=0.003) to the cyanobacteria cell count. The empirical model analyzed proved useful as an important tool for policy makers, since it provided information regarding the horizontal distribution of CHABs which could not be acquired from traditional monitoring techniques.

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Data from reference stations are widely used in GNSS (Global Navigation Satellite System) positioning, and can be used in relative positioning or network-based positioning concept. Positioning accuracy will be directly influenced by errors in signals collected in these stations. In this paper, it is aimed at evaluating these data quality using temporal series of multipath index MP1 and MP2. A statistical study of temporal series with 7 years of daily observations related to 7 stations from RBMC (Rede Brasileira de Monitoramento Contínuo) was accomplished. In order to investigate trends and seasonality a linear regression model, correlograms, and Fourier periodograms were used. We also used a harmonic adjust to identify peaks on temporal series. At last, the possible causes of seasonality found in some stations were discussed. It was also possible to identify peaks in MP values of March and October months (mainly in stations located near geomagnetic equator).

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV