203 resultados para Monitoramento costeiro. Geodésia. MDE. LiDAR


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The central and western portion of the S̃ao Paulo State has large areas of sugar cane plantations, and due to the growing demand for biofuels, the production is increasing every year. During the harvest period some plantation areas are burnt a few hours before the manual cutting, causing significant quantities of biomass burning aerosol to be injected into the atmosphere. During August 2010, a field campaign has been carried out in Ourinhos, situated in the south-western region of S̃ao Paulo State. A 2-channel Raman Lidar system and two meteorological S-Band Doppler Radars are used to indentify and quantify the biomass burning plumes. In addiction, CALIPSO Satellite observations were used to compare the aerosol optical properties detected in that region with those retrieved by Raman Lidar system. Although the campaign yielded 30 days of measurements, this paper will be focusing only one case study, when aerosols released from nearby sugar cane fires were detected by the Lidar system during a CALIPSO overpass. The meteorological radar, installed in Bauru, approximately 110 km northeast from the experimental site, had recorded echoes (dense smoke comprising aerosols) from several fires occurring close to the Raman Lidar system, which also detected an intense load of aerosol in the atmosphere. HYSPLIT model forward trajectories presented a strong indication that both instruments have measured the same air masss parcels, corroborated with the Lidar Ratio values from the 532 nm elastic and 607 nm Raman N2 channel analyses and data retrieved from CALIPSO have indicated the predominance of aerosol from biomass burning sources. © 2011 SPIE.

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This paper proposes a method for the automatic extraction of building roof contours from a LiDAR-derived digital surface model (DSM). The method is based on two steps. First, to detect aboveground objects (buildings, trees, etc.), the DSM is segmented through a recursive splitting technique followed by a region merging process. Vectorization and polygonization are used to obtain polyline representations of the detected aboveground objects. Second, building roof contours are identified from among the aboveground objects by optimizing a Markov-random-field-based energy function that embodies roof contour attributes and spatial constraints. Preliminary results have shown that the proposed methodology works properly.

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Brazil has great potential of water resources, however, with deficiency in terms of qualitative and quantitative monitoring and knowledge of the influences of land use. So, this study had the purpose of presenting the qualitative and quantitative monitoring of water for irrigation and the influences caused by the use and occupation of land in the watershed of Ipê stream, in the municipality of Ilha Solteira, São Paulo. The qualitative monitoring was conducted from 2006 to 2011 and the quantitative monitoring from 2009 to 2011. In order to evaluate the influences, the Pearson correlation analysis was used. It was found that the watershed is mostly made up by the crop of sugar cane and the use in conflict with areas of permanent preservation are the fallow areas and pasture. The watershed is characterized with high concentrations of iron and coliforms, originating from degraded pastures and irregular use of urban and rural occupation. The small permanent preservation areas, bad soil conservation and expansion of urban areas imply in the deterioration of the quality and availability of water, generating socio-economic and environmental impact in the area.

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Several factors have contributed to the increase the world production of urban solid waste, resulting in difficulties to the correct management and the final environmentally appropriate disposal, in addition to causing serious socio-economic, environmental, and public health troubles. The soil and groundwater contamination by leachate in waste disposal sites is almost always present, leveraging the emergence and/or adaptation of methodologies for environmental assessment of these areas. The geophysical methods, especially the electrical resistivity method, are fast, reliable and low-cost alternative for this purpose. This paper reports the methodology adopted for the temporal monitoring of the plume of contamination of controlled landfill in the municipality of Rio Claro (SP). Electrical resistivity data were obtained in 1999 and 2008, by the resistivity method, using the techniques of vertical electrical sounding and electrical profile. In both years, similar tests were carried out in the same locations within the disposal area. The results indicated that the plume of contamination has resistivity values less than or equal to 50 ohm.m and moves guided by 2 flows: the main, to the southeast, and the secondary, to the west. Relatively to the first series of tests in 1999, the plume of contamination was higher and deeper in 2008, contrary to what was expected for a landfill deactivated for at least 10 years.

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Bovine mastitis is still a costly issue in dairy farms, besides public health aspects considering the pathogen transmission to humans. Its multiple etiology with a high number of pathogens involved, demands a rigorous control program for monitoring and milk quality control, based on diagnostic actions and epidemiological vigilance regarding parameters which indirectly are associated with the occurrence of mastitis in dairy herds, as the California Mastitis Test (CMT) and Somatic Cell Count (SCC/mL of milk), of individual milk samples obtained from each cow, and from bulk tank which also allows the Total Bacteria Count (TBC), usually related to the incidence of mastitis, especially in subclinical cases. It is important to reinforce the microbiological milk exam, also to stress the importance of the milking process as a critical point, and to determine risk factors for mastitis. Based on these aspects, this review is presented with the aim to obtain high quality milk products, compromising the personal enrolled in milk production to be conscious that milk quality depends on all, inclusive the consumers which are the final element in the milk production chain.

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This paper proposes a method by simulated annealing for building roof contours identification from LiDAR-derived digital elevation model. Our method is based on the concept of first extracting aboveground objects and then identifying those objects that are building roof contours. First, to detect aboveground objects (buildings, trees, etc.), the digital elevation model is segmented through a recursive splitting technique followed by a region merging process. Vectorization and polygonization are used to obtain polyline representations of the detected aboveground objects. Second, building roof contours are identified from among the aboveground objects by optimizing a Markov-random-field-based energy function that embodies roof contour attributes and spatial constraints. The solution of this function is a polygon set corresponding to building roof contours and is found by using a minimization technique, like the Simulated Annealing algorithm. Experiments carried out with laser scanning digital elevation model showed that the methodology works properly, as it provides roof contour information with approximately 90% shape accuracy and no verified false positives.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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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 Pesquisa e Desenvolvimento (Biotecnologia Médica) - FMB