966 resultados para Environmental monitoring Remote sensing
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Os estudos ambientais necessitam de informações sobre a cobertura e o uso da terra. Este trabalho apresenta a aplicação de dados de sensores remotos orbitais (óticos e de radares) na validação de padrões de uso e cobertura do solo na planície costeira amapaense para fins de mapeamento e reconhecimento da dinâmica natural e antrópica. Esta costa é submetida a uma dinâmica intensa devido à magnitude dos processos costeiros (marés-pororoca), sua localização geográfica, influenciada pelo rio Amazonas e pela Zona de Convergência Intertropical, e processos antrópicos associados à bubalinocultura. A análise foi realizada aplicando-se dados de satélite (JERS-1, RADARSAT-1, Landsat 7 e DEM do SRTM) digitalmente processados em abordagem multisensor, multiescala e multitemporal, correlacionada com dados pretéritos e informações de campo. A análise dos produtos gerados e dados colaterais permitiu distinguir oito padrões de uso e cobertura do solo: florestas de mangue, florestas de várzeas, campos arbustivos, áreas de vegetação campestre, campo antrópico, zona de intermaré, canal estuarino e lagos, além de feições morfológicas lineares associadas a estes padrões. Estas informações são importantes para o mapeamento dos ambientes costeiros e fundamentais para o reconhecimento da dinâmica na região.
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Este trabalho apresenta os resultados do reconhecimento e mapeamento dos ambientes costeiros da região do Golfão Maranhense, Brasil, utilizando uma abordagem metodológica que incluiu: (a) análise integrada com base no processamento digital de imagens, ópticas Landsat-4 TM e SPOT-2 HRV, de imagens SAR (Synthetic Aperture Radar) do RADARSAT-1, e dados de elevação da SRTM (Shuttle Radar Topography Mission); (b) sistema de informações geográficas; e (c) levantamentos de campo relativos à geomorfologia, topografia e sedimentologia. Os ambientes costeiros, assim mapeados foram agrupados em quatro setores: Setor 1, com pântanos salinos, pântanos de água doce, lagos intermitentes e canal estuarino; Setor 2, abrangendo tabuleiro costeiro, planície de maré lamosa, planície fluvial, planície de maré arenosa, praias de macromaré, área construída e lagos artificiais; Setor 3, com manguezal, paleodunas e planície de maré mista; e Setor 4, constituído por dunas móveis. Além disso, foram também reconhecidos lagos perenes, deltas de maré vazante e planícies de supramaré arenosas. O processamento digital e a análise visual das imagens de sensores remotos orbitais, associados ao uso de sistemas de informações geográficas, mostraram-se eficazes no mapeamento de zonas costeiras tropicais, possibilitando a geração de produtos com boa acurácia e precisão cartográfica.
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A importância do monitoramento ambiental é medida pelos vários casos de derramamentos de óleo ocorridos no mundo durante as últimas três décadas. Isto tem incentivado as empresas e órgãos do governo envolvidos na prevenção e combate a estes acidentes a aperfeiçoarem cada vez mais os métodos, tanto preventivos como corretivos, para a minimização dos danos gerados por acidentes com derramamento de óleo. Este trabalho objetiva contextualizar de forma histórica como os acidentes com derramamento de óleo propiciaram o desenvolvimento de pesquisa tecnológica a partir de parcerias entre empresas de petróleo, agências de governo, universidades e institutos de pesquisa no Brasil, em especial na zona costeira Amazônica. Como resultado, índices de sensibilidade ambiental ao derramamento de óleo (ISA) foram definidos especialmente para a Amazônia costeira, onde processos fluviais e marinhos se encontram na foz do maior rio do mundo, o rio Amazonas. Perspectivas de pesquisa e respostas de emergência a acidentes são apresentadas, a fim de se conservar a diversidade socioambiental da mais importante região tropical do planeta.
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Este artigo apresenta informações sobre o meio físico obtidas por meio da compartimentação fisiográfica em uma imagem Landsat 7 ETM+, visando o planejamento territorial do Município de Cananéia, no litoral sul do estado de São Paulo. Os compartimentos fisiográficos foram identificados a partir de diferentes níveis hierárquicos de classificação por meio da análise dos elementos texturais de relevo e drenagem, posteriormente associados às informações referentes aos mapeamentos geológicos e geomorfológicos já existentes, aliados a trabalho de campo. O produto final, um mapa de Unidades Básicas de Compartimentação (UBCs), serviu para nortear considerações referentes aos processo de expansão urbana municipal. A metodologia utilizada mostrou-se com potencial de aplicação em outros estudos relacionados ao meio físico, sendo necessária apenas a adequação dos dados a serem trabalhados. Palavras-chave: Compartimentação fisiográfica, planejamento territorial, sensoriamento remoto.
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Pós-graduação em Ciências Cartográficas - FCT
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The objective of this study was to define a method for estimating soybean crop area in the Northern Rio Grande do Sul state (Brazil). Overall, six different remote sensing methods were proposed based on spectral-temporal profile and minimum and maximum values of NDVI/MODIS related to the stages of sowing, maximum development and harvesting of soybean areas. The resulting estimates were compared to official crop area data provided by the Brazilian government, using statistical analysis and the fuzzy similarity method. The performance of each method depended on information such as crop size, type of crop management, and sowing/harvesting dates. Regression coefficients of determination and fuzzy agreement values were above 0.8 and 0.45, respectively, for all methods. For operational monitoring of soybean crop area, the empirical threshold applied to the image difference with inclusion of harvest image method was the most effective, producing estimates that matched closely the official data. For spatial analysis the application of multitemporal images classification method is recommended that generated a map of better quality. The efficiency of these methods should be evaluated in the areas of soybean expansion in the state.
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In this study we intent to contextualize the topic environmental vulnerability on the world stage, highlighting similarities and differences in their conceptions in Portugal and Brazil. In the literature about the vulnerability is already established the contribution of Geotechnologies, especially the Systems of Remote Sensing and Orbital Imaging as well as Geographic Information Systems (GIS) and its potential for modelling physical and socioeconomic aspects for the prevention, mitigation and facing risk manifestations, whether natural, technological or mixed. This paper aims to discuss the methodological framework of vulnerability studies and the results of application in the modelling of socioeconomic and environmental data in the context of the Region Centre of Portugal and the State of Sao Paulo, Brazil. The methodology for analysing the vulnerability of these regions was based on quantitative studies of the capacity of resistance and resilience of populations and territories. The results were consistent with the socio-environmental realities of the study areas and reflect the complexity of facing and recovery of risk situations in case of territories and populations under low economic conditions and urban infrastructure, whether in Brazil and Portugal.
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Pós-graduação em Geociências e Meio Ambiente - IGCE
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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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The present study characterizes the physical environment for its fragility and its capacity to support, through geological and geomorphological properties in the study area, concerning primarily with a sustainable environmental planning for the construction and maintenance of buried linear works. The study area is located on a portion of the Paraiba Valley, which is between the latitudes 22 °30' S and 23°00' S and longitudes 44°30' W and 45° 15' W, between cities of Aparecida (SP) and Queluz (SP). The methodology was based in the visual interpretation of TM/Landsat-7 images, using as a criterion the element textural image and its way of organizing space. To do so, it was set five levels of textural density, enabling thus to the partitioning of the area in areas counterparts (Z.H.s). As a result, it was identified 133 Z.H.s. By using the same criterion textural image the following physical properties were classified: Erosion Resistance, Permeability, Plasticity X Brittle, Tropia and Relief Asymmetry for each zone counterpart, and then grouped themselves as they hold all properties equal in Units Geoenvironmental (U.G.s). As a result it was identified 18 U.G.s. The work presents, as a final result, a thematic map with favorable or restrictable sectores to the design of buried linear works. Based on this map, it can be propose traces to buried linear works, analyzing their suitability to the physical environment and reducing the impacts caused to the environment.
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The transportation of oil through pipelines raises a concern related to safety and environmental impacts they may cause, especially when exposed to risks that affect their integrity. Among the natural phenomena that can affect the pipelines are erosion and landslides. Considering the large territory involving the pipelines, remote sensing tools have a great applicability for data acquisition. For this, visual analysis techniques were applied to perform change detection in order to monitor erosion features and landslides along a stretch of pipeline Rio de Janeiro – Belo Horizonte, in the state of Rio de Janeiro. The work involved the characterization of the study area as well as the erosion and landslide processes, through bibliographical data. The satellite image processing and the application of change detection techniques were developed in two scenes for the years 2002 and 2010. It was noted a small increase in the number of the identified features, however with regard to their area, a decrease of 21.7% was observed
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This research aimed to analyze the spatial area for the design of the Heat Island of Subprefecture Sé, in São Paulo-SP, with the support of geotecnology and based on the study of environmental perception. We used remote sensing products such as maps ofland use and soil temperature and apparent surface to evaluate the thermal conditions considered critical points in the central area of the municipality. The methodology used was qualitative analysis, based on interviews with the people, allowing rescue geoecology the conditioning aspects of the city, with an emphasis on environmental perception. This study aimed toanalyze the perception of the variation of the thermal field in São Paulo. The results indicated that (95%) of respondents feel that the temperature of the central area has increased each year, and the district that stood out was the Sé, due to intense use and occupation of land and contribute one of the largest shopping centers. Districts with points given for having better thermal comfort were Santa Cecília, the República and Bela Vista, due to their larger amount of green areas by fiscal court, which act as local refrigerators. It was found that the respondents have the perception and awareness of their spa directly related to the quality of life. Through analysis of several variables involved, proposals and strategies may support public policies and urban planning
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As an effect of the imbalance caused by the damming of rivers and pollution, it has been observed a growing aquatic plants infestation in reservoirs for the generation of electricity. In addition to power generation, these sites have also been used for various other purposes, including recreation, attracting water and navigation. Thus it is important to evaluate these water bodies periodically, in order to verify the leading conditions to the growth of algae, plants and other organisms. In this sense, Remote sensing technology can be a valuable tool for mapping and monitoring the occupation of land in the vicinity of the water body and the optical properties of water, to provide subsidies for the effective management of these aquatic environments. This paper aims to perform the monitoring of the occurrence of aquatic plants in Salto Grande Hydropower Reservoir, located in Americana (SP) and, periodically, map the occupation of land in the vicinity of the water body, through multispectral images taken by sensors on the satellites Landsat series in seven consecutive years: 2004, 2005, 2006, 2007, 2008, 2009 and 2010. The adopted methodological procedure included the images data and the classification of multispectral images to map, every year, the location and extension of the area infested by aquatic plants and the occupation of land
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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)