958 resultados para Landsat satellite image


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The increased availability of digital elevation models and satellite image data enable testing of morphometric relationships between sand dune variables (dune height, spacing and equivalent sand thickness), which were originally established using limited field survey data. These long-established geomorphological hypotheses can now be tested against very much larger samples than were possible when available data were limited to what could be collected by field surveys alone. This project uses ASTER Global Digital Elevation Model (GDEM) data to compare morphometric relationships between sand dune variables in the southwest Kalahari dunefield to those of the Namib Sand Sea, to test whether the relationships found in an active sand sea (Namib) also hold for the fixed dune system of the nearby southwest Kalahari. The data show significant morphometric differences between the simple linear dunes of the Namib sand sea and the southwest Kalahari; the latter do not show the expected positive relationship between dune height and spacing. The southwest Kalahari dunes show a similar range of dune spacings, but they are less tall, on average, than the Namib sand sea dunes. There is a clear spatial pattern to these morphometric data; the tallest and most closely spaced dunes are towards the southeast of the Kalahari dunefield; and this is where the highest values of equivalent sand thickness result. We consider the possible reasons for the observed differences and highlight the need for more studies comparing sand seas and dunefields from different environmental settings.

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Historically, collecting nearshore habitat information has been problematic. Existing methods, such as aerial and satellite image interpretation are limited due to the attenuation of light in the water column obscuring the seabed structure. The advent of airborne bathymetric LiDAR (Light Detection and Ranging) systems (laser scanning of the seabed) now provides high-resolution seabed ‘images’ in areas that were previously difficult to survey. LiDAR imagery is available for the entire coastline of Victoria, Australia to depths of around 25 m, after being initially collected for climate change modelling by the Future Coasts Program (http://www.climatechange.vic.gov.au/adapting-to-climate-change/future-coasts). This dataset has provided the opportunity to test its applicability to inform fisheries management. Detailed geophysical information combined with spatially explicit AbTrack GPS located fisheries records and targeted genetic sampling is used in this study to provide a better understanding of the extent of available fishing grounds, direction of fishing effort and stock population structure within the Victorian western zone abalone fishery.
The species distribution modelling technique MaxEnt was used to produce a potential habitat suitability map for abalone in an attempt to capture the effective footprint of the  fishery. Also, by interrogating the spatially defined effort localities, we demonstrate an approach that may be used to identify areas where fishing effort is concentrated, and how this parameter changes temporally.
Despite barriers to adult dispersal (soft sediment barriers between reef patches), the genetic study indicates that larval movement is able to homogenize the gene pool over  large geographic distances. The western, central and eastern zone abalone stocks in Victoria were found to be a single large panmictic unit. This indicates high levels of stock connectivity and no obvious impacts of Abalone Viral Ganglioneuritis (AVG) on the genetic health of western zone stocks. We used detailed seafloor structure information interpreted from LiDAR to inform a replicated hierarchical fine scale genetic sampling design. We demonstrated that there may be extensive migration among abalone stocks across the Victorian abalone fishery.
This is contrary to previous studies that suggest recruitment is highly localised. In combination, these findings provide a valuable insight into the biology of H. rubra and immediate benefits for fisheries management. We discuss these results in the context of predicting resilience and adaptive potential of H. rubra stocks to environmental pressures and the spread of heritable diseases.
Adoption pathways are also provided to benefit future stock augmentation activities to catalyse the recovery of AVG affected reef codes. As larval dispersal is likely to be spatially and temporally variable, some AVG affected stocks are likely to recover through natural recruitment, while others will benefit from augmentation activities to ‘kick-start’ stock recovery. Evidence of neutral genetic homogeneity across Victorian reef codes suggests that the relocation of animals is unlikely to have significant genetic risks; however the potential for locally adaptive genetic differences may exist, and should be taken into consideration in future stock augmentation planning.
When combined, the spatial and genetic analyses provide valuable insights into stock productivity within the western zone fishery. Reefs appear to be expansive and support much available habitat, and the movement of larvae among reef structures is likely to be extensive in this region. Consequently, we propose that colonisation success and productivity is likely to be driven by ecological factors such as resources and/or competition, or physical factors such as wave exposure.

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O presente trabalho teve como objetivo compartimentar a sub-bacia do Baixo Rio Piracicaba - SP, em unidades homogêneas quanto à potencialidade à erosão visando a subsidiar o gerenciamento ambiental. A importância desta pesquisa concentra-se no intenso desenvolvimento dos processos erosivos na área em foco e na sua importância socioeconômica em níveis estadual e nacional. O procedimento adotado para atingir o objetivo foi a análise da rede de drenagem e dos lineamentos obtidos pelas imagens TM/Landsat-5. O resultado obtido foi a divisão da área em quatro compartimentos quanto à potencialidade à erosão: muito alta, alta, média e baixa. Concluiu-se que a área estudada é heterogênea, com regiões sujeitas a diferentes intensidades de processos erosivos e que a sistemática adotada se mostrou eficiente para caracterizar as compartimentações fisiográficas da potencialidade erosiva, e essas compartimentações podem e devem ser utilizadas como ponto de partida para estudos ambientais e de utilização do território, em consonância com o desenvolvimento sustentável.

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Image compress consists in represent by small amount of data, without loss a visual quality. Data compression is important when large images are used, for example satellite image. Full color digital images typically use 24 bits to specify the color of each pixel of the Images with 8 bits for each of the primary components, red, green and blue (RGB). Compress an image with three or more bands (multispectral) is fundamental to reduce the transmission time, process time and record time. Because many applications need images, that compression image data is important: medical image, satellite image, sensor etc. In this work a new compression color images method is proposed. This method is based in measure of information of each band. This technique is called by Self-Adaptive Compression (S.A.C.) and each band of image is compressed with a different threshold, for preserve information with better result. SAC do a large compression in large redundancy bands, that is, lower information and soft compression to bands with bigger amount of information. Two image transforms are used in this technique: Discrete Cosine Transform (DCT) and Principal Component Analysis (PCA). Primary step is convert data to new bands without relationship, with PCA. Later Apply DCT in each band. Data Loss is doing when a threshold discarding any coefficients. This threshold is calculated with two elements: PCA result and a parameter user. Parameters user define a compression tax. The system produce three different thresholds, one to each band of image, that is proportional of amount information. For image reconstruction is realized DCT and PCA inverse. SAC was compared with JPEG (Joint Photographic Experts Group) standard and YIQ compression and better results are obtain, in MSE (Mean Square Root). Tests shown that SAC has better quality in hard compressions. With two advantages: (a) like is adaptive is sensible to image type, that is, presents good results to divers images kinds (synthetic, landscapes, people etc., and, (b) it need only one parameters user, that is, just letter human intervention is required

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Land cover mappings represent important tools for the regional planning. However, the current mappings are related to very specific purposes and, consequently, they are limited in their capacity to define the wide variety of existing types of land cover. In that context, this paper aims at developing a wide and including hierarchical classification system for land cover mapping in regional scale, which should contribute for a future standardization of classes. Besides, it is intended to test that system for a study case that contemplates the use of a classification method based on fuzzy approach, which has shown to be more appropriate than conventional approaches. Therefore, it was proposed a hierarchical classification system with three detailing levels and a study case was defined with the specification of the test area and of the classification project. Then, the georreferencing of a TM/Landsat-5 image that comprises the test area was carried out. Later, it was applied a fuzzy classification approach in the TM/Landsat-5 image, starting from images of probability for the mapped classes and an uncertainty image were generated. Finally, it was produced a conventional output that represents the thematic mapping of the test area.

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The municipality of Areia Branca is within the mesoregion of West Potiguar and within the microregion of Mossoró, covering an area of 357,58 km2. Covering an area of weakness in terms of environmental, housing, together with the municipality of Grossos-RN, the estuary of River Apodi-Mossoró. The municipality of Areia Branca has historically suffered from a lack of planning regarding the use and occupation of land as some economic activities, attracted by the extremely favorable natural conditions, have exploited their natural resources improperly. The aim of this study is to quantify and analyze the environmental degradation in the municipality. Thus initially was performed a characterization of land use using remote sensing, geoprocessing and geographic information system GIS in order to generate data and information on the municipal scale, which may serve as input to the environmental planning and land use planning in the region. From this perspective, were used a Landsat 5 image TM sensor for the year 2010. In the processing of this image was used SPRING 5.2 and applied a supervised classification using the classifier regions, which was employed Bhattacharya Distance method with a threshold at 30%. Thus was obtained the land use map that was analyzed the spatial distribution of different types of the use that is occurring in the city, identifying areas that are being used incorrectly and the main types of environmental degradation. And further, were applied the methodology proposed by Beltrame (1994), Physical Diagnosis Conservationist under some adaptations for quantifying the level of degradation or conservation study area. As results, the indexes were obtained for the parameters in the proposed methodology, allowing quantitatively analyze the degradation potential of each sector. From this perspective, considering a scale of 0 to 100, sector A and sector B had value 31.20 units of risk of physical deterioration. And the C sector, has shown its value - 34.64 units degradation risk and should be considered a priority in relation to the achievement of conservation actions

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The study area is located on the Brazilian Continental Shelf adjacent to Ceará State, inserted in the submerged Potiguar Basin. This area was submitted to extensional efforts during Upper Cretaceous, associated to the begining of the rifting that resulted in African and South American Continent separation. The main goal of this research was to better understand the sedimentary and geomorphological characteristics of the continental shelf adjacent to Fortim, Aracati and Icapuí (Ceará State). The used data base included geophysical (sides scan sonar and bathymetry studies) and sedimentological survey, associated to satellite image processing and interpretation. Inferences about suspended material and longshore drift was possible using satellite images, and differente bedforms were characterized such as: different kinds of dunes (longitudinal, cross and oblique), bioclastic banks, paleochannels, flat and rock bottom. The researched area comprehended about 2509,13 km2, where 6 different sedimentary facies, based on sediment composition and texture, could be recognized, such as: Bioclastic Sand, Siliciclastic Sand, Biosiliciclastic Sand, Bioclastic gravel, Biosiliciclastic sand with granule and gravel, and Silicibioclastic sand with granule and gravel. The integration of bathymetric, satellite image, side scan sonar and sedimentological data allow us a better characterization of this continental shelf area, as to advance in the knowledge of the continental shelf of the state of Ceara, a very important area to the oil industry because of its potential exploration and e exploitation, and to environmental survey as well

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O objetivo desse trabalho foi verificar a viabilidade do uso de um Sistema de Informações Geográficas (SIG) e a imagem de satélite para a análise do uso atual da terra e localização de áreas onde possam estar ocorrendo conflitos entre capacidade e uso do solo, na microbacia hidrográfica do Arroio do Meio. Foram utilizadas técnicas de geoprocessamento, como álgebra entre mapas, consulta ao banco de dados e reclassificação de imagens. Uma microbacia foi escolhida como objeto deste estudo, por ser considerada por muitos autores como sendo uma das melhores unidades para o planejamento e desenvolvimento sócioeconômico dos habitantes do meio rural. Na microbacia estudada, foram encontrados 555ha cobertos com florestas, compreendendo 24% da área total. As lavouras com área de 1.314ha ocupam a maior parte da microbacia (56%). Os campos de pastagens cobrem 184ha, ou seja, 8% da área total. As áreas alagadas representam 11% da área da microbacia, tendo respectivamente 265ha. Foram detectados ainda, 31ha sombreados (1%) onde não se determinou com exatidão o uso da terra. Nas áreas com declividade superior a 47%, foram detectados 32ha sem cobertura de florestas, perfazendo 1,4% da área da microbacia. em declives superiores a 30%, existem 71ha (3%) sendo usados para a agricultura. A área ocupada com Chernossolos e Neossolos Litólicos, unidade de mapeamento Ciríaco-Charrua em declividade maior que 30% sem cobertura florestal é de 14ha (0,6%). de acordo com a declividade e o solo, as áreas de conflito alcançam 5% da área total, o que demonstra que, na maior parte da microbacia, a terra está sendo usada de acordo com sua capacidade.

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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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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Apesar de vários trabalhos publicados para a região tropical demonstrando o efeito da fragmentação florestal e o isolamento da paisagem na comunidade biótica, a maioria destes, foi realizada em regiões continentais. Os impactos da fragmentação e o isolamento da paisagem resultante da criação de reservatórios artificiais de usinas hidrelétricas ainda são pouco estudados na Amazônia. Este estudo foi realizado em fragmentos ('ilhas") remanescentes de floresta ombrófila, formadas pela construção da Hidrelétrica de Tucuruí, no estado do Pará com o objetivo de comparar as ilhas nas duas margens do reservatório em relação ao tamanho total, tamanho da área nuclear (core area) , forma geométrica (total de borda balanceado pela área da ilha) e grau de isolamento a fim demonstrar o papel das mesmas para a conservação da biota local e em escala local avaliar a riqueza, abundância e composição de espécies da comunidade de lagartos em 12 "ilhas" do reservatório em relação ao tamanho, grau de isolamento e posição das ilhas no reservatório. Para o estudo em escala da paisagem foram escolhidas 199 ilhas nas duas margens no limite da Área de Proteção Ambiental de Tucuruí usando imagem de satélite de 2005. O tamanho das ilhas analisadas varia de 3 a 1768 hectares , sendo que 40% delas com menos 10 hectares . As ilhas têm uma perda significativa, variando de 22% a 100%, de área total, em função do efeito de borda. Não houve diferença significativa no tamanho total, tamanho da área nuclear e total da borda I')as ilhas em relação á margem do reservatório. Contudo, as ilhas da margem esquerda têm maior grau de isolamento em relação das ilhas da margem direita. A maioria das ilhas analisadas no reservatório de Tucuruí tem tamanhos pequenos, alta perda de área total em função do efeito de borda, formato irregular o que aumenta o potencial do efeito de borda e alto grau de isolamento. Em escala local a comunidade de lagartos foi amostrada em cinco campanhas de campo realizadas entre janeiro e julho de 2005, através de transectos e armadilhas de queda. As áreas inventariadas foram selecionadas com base no tamanho, grau de isolamento e posição na margem do reservatório. Foram registrados 837 indivíduos de lagartos, distribuídos em 16 espécies. As espécies mais abundantes foram Gonatodes humeralis e Coleodactylus amazonicus (Gekkonidae). A amostragem realizada nas cinco campanhas foi suficiente para determinar a riqueza total das ilhas amostradas, correspondendo a 84% do número de espécies de acordo com o estimador Jacknife 1. Houve diferença significativa na riqueza de espécies de lagartos entre as campanhas realizada sendo a riqueza maior obtida a partir da 38 campanha de campo, em abril-maio de 2005. Não houve diferença significativa na riqueza de espécies e no número de indivíduos de lagartos em relação à margem do reservatório. Houve diferença significativa e positiva da riqueza de espécies de lagartos em relação ao tamanho da ilha. Não houve diferença significativa na abundância de lagartos em relação ao tamanho das ilhas. Houve diferença significativa entre a riqueza de lagartos em relação ao isolamento da ilha, sendo esta menor nas ilhas mais isoladas. Não houve diferença significativa entre a abundância de lagartos em relação ao isolamento da ilha. Não houve diferença significativa da riqueza de espécies em relação à abertura do dossel e ao volume de serrapilheira. Houve diferença significativa e positiva entre a riqueza de espécies em relação à densidade de troncos caídos e de árvores vivas. Não houve diferença significativa da abundância de indivíduos em relação aos parâmetros de estrutura da vegetação analisados neste estudo. Não houve diferença na composição de espécies da comunidade de lagartos nas ilhas em relação às margens do reservatório, indicando que o rio Tocantins não é uma barreira geográfica para a distribuição deste grupo.