Avaliação do método de classificação baseada no objeto em imagens de alta resolução espacial aplicado para o monitoramento de faixa de dutos: estudo de caso no entorno da refinaria de Capuava em Mauá - SP

The metropolitan region of São Paulo is the most populous of the country, this happens because of its great importance in the national economy and the job opportunities that are offered to the population. These factors result in intense population growth and urban expansion, reaching some non-habitable places of the metropolis, as areas of pipelines, which are very important for the transportation of natural gas, oil and its derivatives. Before the population growth of the region, these sites were unoccupied, do not presenting problems for the population. However, with the disorderly occupation is generated great anthropogenic pressure on the pipeline stitches, causing risks to people who are around them. Therefore it is extremely important to monitor the strip of pipelines through products and techniques of remote sensing and geoprocessing, enabling, through high spatial resolution images, identification of objects or phenomena that occur on Earth's surface that can alter the functioning and safety of pipelines. Therefore, this study aims to monitor a stretch of the area of the pipeline mesh GASPAL/OSVAT and Capuava Refinery (RECAP), located on the outskirts of the metropolitan area of São Paulo in the city of Mauá, who suffer great human pressure, proving thus the techniques of remote sensing and geographic information system (GIS) as effective tools for monitoring phenomena occurred in urban areas of great complexity. The monitoring was done by object-based classification applied in orbital images Ikonos II and RapidEye, of high spatial resolution and, image processing, detection of objects, segmentation, classification and editing were developed through the eCognition and ArcGis softwares. To determine the statistical accuracy of the mapping of the land cover of the stretch of pipeline in Maua, the results were analyzed by error matrix... (Complete abstract click electronic access below)

Modelagem da biomassa acima do solo (BAS), por meio de imagens de alta resolução espacial e índices de vegetação

Pós-graduação em Agronomia - FEIS

Delimitação de bacias hidrográficas utilizando modelo digital de terreno gerado a partir de mapas topográficos e imagens de alta resolução espacial.

O objetivo deste trabalho foi gerar um modelo digital de terreno (MDT) e delimitar sub-bacias hidrográficas na área de estudo do projeto ?Sustentabilidade, competividade e valoração de serviços ecossistêmicos da heveicultura em São Paulo com uso de geotecnologias? (GeoHevea). O MDT foi gerado em ambiente de sistema de informações geográficas (SIG) a partir de cartas topográficas digitais e de imagens de alta resolução espacial. Os arquivos vetoriais relativos a curvas de nível, pontos cotados, rede hidrográfica e corpos d?água foram obtidos do Instituto Brasileiro de Geografia e Estatística (IBGE). Os arquivos da rede hidrográfica e dos corpos d?água do IBGE foram editados manualmente no SIG ArcGIS 10.3, tomando como base ortofotos da Empresa Paulista de Planejamento Metropolitano S/A (Emplasa). Na geração do MDT, foi utilizado o interpolador Topo to Raster do ArcGIS. Na delimitação das sub-bacias foi utilizada a extensão ArcHydro Tools no ArcGIS. Os resultados obtidos demonstraram que a rede hidrográfica digital das folhas topográficas disponibilizadas pelo IBGE necessita de ajustes. O MDT gerado pelo interpolador Topo to Raster apresentou menos rugosidades que o modelo digital de elevação (MDE) do Shuttle Radar Topography Mission (SRTM). A metodologia empregada neste estudo pode ser aplicada a outras regiões do Estado de São Paulo para a geração de MDTs. A delimitação das bacias hidrográficas da área de estudo do projeto GeoHevea identificou quatro sub-bacias: do Ribeirão Santa Bárbara, do Ribeirão dos Ferreiros ou das Oficinas, do Ribeirão São Jerônimo e do Córrego da Arribada.

Detecção e restauração de áreas sombreadas em imagens digitais de alta resolução espacial

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Vantagens e limitações das imagens de alta resolução como suporte ao planejamento urbano: o exemplo de Sobradinho - Distrito Federal

Pós-graduação em Geografia - IGCE

Morfologia matemática aplicada à detecção de sombras e nuvens em imagens de alta resolução

The spatial resolution improvement of orbital sensors has broadened considerably the applicability of their images in solving urban areas problems. But as the spatial resolution improves, the shadows become even a more serious problem especially when detailed information (under the shadows) is required. Besides those shadows caused by buildings and houses, clouds projected shadows are likely to occur. In this case there is information occlusion by the cloud in association with low illumination and contrast areas caused by the cloud shadow on the ground. Thus, it's important to use efficient methods to detect shadows and clouds areas in digital images taking in count that these areas care for especial processing. This paper proposes the application of Mathematical Morphology (MM) in shadow and clouds detection. Two parts of a panchromatic QuickBird image of Cuiab-MT urban area were used. The proposed method takes advantage of the fact that shadows (low intensity - dark areas) and clouds (high intensity - bright areas) represent the bottom and top, respectively, of the image as it is thought to be a topographic surface. This characteristic allowed MM area opening and closing operations to be applied to reduce or eliminate the bottom and top of the topographic surface.

Morfologia em alta resolução espacial de estrelas de tipo Mira e R Corenae Borealis

Mira and R Coronae Borealis (R CrB) variable stars are evolved objects surrounded by circumstellar envelopes (CSE) composed of the ejected stellar material. We present a detailed high-spatial resolution morfological study of the CSE of three stars: IRC+10216, the closest and more studied Carbon-Rich Mira; o Ceti, the prototype of the Mira class; and RY Sagitarii (RY Sgr), the brightest R CrB variable of the south hemisphere. JHKL near-infrared adaptive optics images of IRC+10216 with high dynamic range and Vband images with high angular resolution and high depth, collected with the VLT/NACO and VLT/FORS1 instruments, were analyzed. NACO images of o Ceti were also analyzed. Interferometric observations of RY Sgr collected with the VLTI/MIDI instrument allowed us to explore its CSE innermost regions (»20 40 mas). The CSE of IRC+10216 exhibit, in near-infrared, clumps with more complex relative displacements than proposed in previous studies. In V-band, the majority of the non-concentric shells, located in the outer CSE layers, seem to be composed of thinner elongated shells. In a global view, the morphological connection between the shells and the bipolar core of the nebulae, located in the outer layers, together with the clumps, located in the innermost regions, has a difficult interpretation. In the CSE of o Ceti, preliminar results would be indicating the presence of possible clumps. In the innermost regions (.110 UA) of the CSE of RY Sgr, two clouds were detected in different epochs, embedded in a variable gaussian envelope. Based on a rigorous verification, the first cloud was located at »100 R¤ (or »30 AU) from the centre, toward the east-north-east direction (modulo 180o) and the second one was almost at a perpendicular direction, having aproximately 2£ the distance of the first cloud. This study introduces new constraints to the mass-loss history of these kind of variables and to the morphology of their innermost CSE regions

Análise comparada da segmentação e classificação orientada por objectos de uma imagem de alta resolução WORLDVIEW-2

Dissertação de Mestrado em Gestão do Território, Especialização em Detecção Remota e Sistemas de Informação Geográfica

Análise dos remanescentes de mata atlântica do Estado do Rio Grande do Norte : uma perspectiva em alta resolução

The habitat loss and fragmentation are considered the main threats to the biodiversity. These threats operate at the landscape level, which drives the need to manage entire landscapes, not just its components. Although systematic monitoring of the Atlantic Forest biome has been ongoing since the late eighties, current data on forest fragmentation for the sub-region of Pernambuco are practically nonexistent. This study aimed to map out, with high spatial resolution, the remnants of Atlantic forest in Rio Grande do Norte, and conduct a landscape level analysis. The results show that the landscape is highly fragmented, where about 13.6% to 17% of biome remains. Most of the fragments is less than 10 ha, while a few fragments have area larger than 100 ha. Although the high degree of fragmentation, the average distance between fragments found was small (128 m), this estimate is lower than has been observed for the biome (1440m). There is evidence that abrupt changes in the quantification of landscape structure can occur when one observes the fragmentation at high spatial resolution. The results presented here can be used in management actions, in order to make the scenario more conducive to maintaining biodiversity.

Avaliação das previsões do atraso zenital troposférico para a América do Sul, obtidas usando modelo de previsão numérica de tempo com alta resolução espacial

A Center for Weather Forecast and Climatic Studies of National Institute for Space Research (CPTEC/INPE) has provided to the Brazilian Geodetic community, since 2004, an alternative to correct the GNSS observables from the tropospheric refraction. Numerical Weather Prediction (NWP) Model is used to generate Zenital Tropospheric Delay (ZTD). For the version 1, it was developed a model with horizontal resolution of 100 km, which was updated with Eta model, with resolution of 20 km. This paper provides the most significative details of the current version, as well an evaluation of its quality, using for such ZTD estimates from GPS data collect at RBMC. Comparing to the old version, considerable improvement could be observed from the new model, mainly in Brasilia and Curitiba, reaching up to 55% improvement. When all stations were used in the quality control, almost null bias and RMS of about 4 to 5 cm could be observed.

Classificação dos tipos de pavimentos das vias urbanas a partir de imagem de alta resolução espacial por meio de análise orientada a objeto

Pós-graduação em Ciências Cartográficas - FCT

Metodologia automática para extração de cruzamentos de rodovias em imagens de alta resolução

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Detecção de regiões de via integrando dados de varredura a LASER aerotransportado e imagens de alta resolução

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Reconhecimento de contorno de edifício em imagens de alta resolução usando os momentos complexos de Zernike

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