Avaliação do potencial de dados polarimétricos Radarsat-2 para mapeamento de uso e cobertura da terra em trecho de faixa de dutos sobre diferentes condições geomorfológicas
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Data
2011-06-30
Autores
Gomes, Alessandra Rodrigues [UNESP]
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Universidade Estadual Paulista (Unesp)
Resumo
Com a expansão das atividades de petróleo e gás, o transporte destes produtos precisa ser monitorado para permitir o abastecimento e preservar as paisagens sobre as quais o transporte é realizado e uma das formas mais recomendadas para o Brasil é através de dutos, devido à distância entre a produção e os centros de consumo. Para esta pesquisa foi selecionado um trecho na faixa de dutos Rio de Janeiro – Belo Horizonte para avaliar as potencialidades de dados Fine QuadPol do RADARSAT-2 no mapeamento do uso e cobertura da terra sobre diferentes condições geomorfológicas. A partir das matrizes de coerência e covariância dos dados Fine QuadPol foram realizadas análises da decomposição de alvos (Cloude-Pottier e Freeman-Durden) e classificadores de Wishart derivados destas decomposições. Para os dados em amplitude, foi utilizado o classificador MaxVer-ICM. Para todos os resultados também foi analisado o efeito da aplicação do filtro polarimétrico de Lee com janelas 5x5 e 7x7 pixels. Foram estabelecidas 11 classes de uso e cobertura da terra (nível 2) e realizada uma análise exploratória baseada nos dados em sigma zero e parâmetros resultantes das decomposições de Cloude-Pottier e Freeman-Durden (anisotropia, entropia, ângulo alfa, contribuições dos espalhamentos superficial, double-bounce e volumétrico). Como a separação das classes não foi possível para o nível 2, optou-se por manter o nível 1 onde são mapeadas somente as classes de cobertura da terra. Com base nos resultados alcançados pelos classificadores, pode-se dizer que o MaxVer-ICM apresentou o maior índice de concordância kappa (38%) enquanto o classificador de Cloude-Pottier teve o pior desempenho (19%). Os classificadores de Wishart obtiveram kappa de 27% para a Wishart derivada de Cloude-Pottier e 25% para...
Due to the expansion of the activities of oil and gas, the transportation of these products must be monitored to allow the supplies and preserve the landscapes on which transport is carried out and one of the most recommended forms of transport to Brazil is through pipelines due to distance of the consumers centers. For this research was selected a stretch in the Rio de Janeiro - Belo Horizonte pipelines to evaluate the potential of QuadPol Fine RADARSAT-2 data for mapping land use and land cover on different geomorphological conditions. From the covariance and coherence matrices of Fine QuadPol data was performed target decomposition (Cloude-Pottier and Freeman- Durden) and Wishart classifiers derived from these decompositions. For amplitude data, MaxVer-ICM was used as classifier. For all results was also analyzed the effect of applying Lee polarimetric filter with windows of 5x5 and 7x7 pixels. It was established 11 land use and land cover classes (level 2) and performed an exploratory analysis based on data from sigma nought and parameters resulting from the decomposition of Cloude and Pottier-Freeman-Durden (anisotropy, entropy, alpha angle, contributions from surface, double-bounce and volume scattering ). As the separation of classes was not possible to level 2, we chose to keep a level where they are mapped only the classes of land cover. Based on the results achieved by the classifiers, we can say that the ICMMaxVer had the highest rate of agreement kappa (38%) while the classifier Cloude- Pottier had the worst performance (19%). Wishart classifiers obtained kappa of 27% for the Wishart from Cloude-Pottier and 25% for the Wishart from Freeman-Durden. Based on the classifiers from the target decomposition and different parameters have presented results more visually... (Complete abstract click electronic access below)
Due to the expansion of the activities of oil and gas, the transportation of these products must be monitored to allow the supplies and preserve the landscapes on which transport is carried out and one of the most recommended forms of transport to Brazil is through pipelines due to distance of the consumers centers. For this research was selected a stretch in the Rio de Janeiro - Belo Horizonte pipelines to evaluate the potential of QuadPol Fine RADARSAT-2 data for mapping land use and land cover on different geomorphological conditions. From the covariance and coherence matrices of Fine QuadPol data was performed target decomposition (Cloude-Pottier and Freeman- Durden) and Wishart classifiers derived from these decompositions. For amplitude data, MaxVer-ICM was used as classifier. For all results was also analyzed the effect of applying Lee polarimetric filter with windows of 5x5 and 7x7 pixels. It was established 11 land use and land cover classes (level 2) and performed an exploratory analysis based on data from sigma nought and parameters resulting from the decomposition of Cloude and Pottier-Freeman-Durden (anisotropy, entropy, alpha angle, contributions from surface, double-bounce and volume scattering ). As the separation of classes was not possible to level 2, we chose to keep a level where they are mapped only the classes of land cover. Based on the results achieved by the classifiers, we can say that the ICMMaxVer had the highest rate of agreement kappa (38%) while the classifier Cloude- Pottier had the worst performance (19%). Wishart classifiers obtained kappa of 27% for the Wishart from Cloude-Pottier and 25% for the Wishart from Freeman-Durden. Based on the classifiers from the target decomposition and different parameters have presented results more visually... (Complete abstract click electronic access below)
Descrição
Palavras-chave
Sensoriamento remoto, Oleodutos de petróleo, Mapeamento geologico, Solo - Uso, Remote sensing, Petroleum pipelines, Geological mapping
Como citar
GOMES, Alessandra Rodrigues. Avaliação do potencial de dados polarimétricos Radarsat-2 para mapeamento de uso e cobertura da terra em trecho de faixa de dutos sobre diferentes condições geomorfológicas. 2011. 198 f. Tese - (doutorado) - Universidade Estadual Paulista, Instituto de Geociências e Ciências Exatas, 2011.