Navegando por Autor "MIRANDA, Fernando Pellon de"

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Acesso aberto (Open Access)
Environmental sensitivity index (ESI) mapping of oil spill in the amazon coastal zone: the PIATAM Mar project
(2009) SOUZA FILHO, Pedro Walfir Martins e; PROST, Maria Thereza Ribeiro da Costa; MIRANDA, Fernando Pellon de; SALES, Maria Emília Cruz; BORGES, Heloisa Vargas; COSTA, Francisco Ribeiro da; ALMEIDA, Edson Faria de; NASCIMENTO JUNIOR, Wilson da Rocha
The importance of environmental monitoring is clear from the many oil spills that have occurred over the past three decades. This has encouraged both companies and the public sector involved in the prevention and response to these accidents to develop efficient procedures to minimize the damage caused by accidents involving oil spill. This study reviews the history of oil spill accidents in Brazil and examines how these events have contributed to the development of technological research through partnerships involving oil companies, government, universities and research institutes, with the emphasis on the Amazon coastal zone. As a result, environmental sensitivity indexes (ESIs) for oil spill have been developed specifically for the Amazon coast, where fluvial and marine processes take place in the estuary of the world's largest river system. Perspectives on research and emergency response procedures are presented, with the primary objective of conserving the social-environmental diversity of the planet's most important tropical region.
Acesso aberto (Open Access)
Fusão de dados multisensor para a identificação e o mapeamento de ambientes flúvio-estuarinos da Amazônia
(2009) GONÇALVES, Fabrício Dias; SOUZA FILHO, Pedro Walfir Martins e; PARADELLA, Waldir Renato; MIRANDA, Fernando Pellon de
Multisensor data fusion has been widely used in response to complementary nature of many data sets. This paper compares the results of four different data fusion methods used to merge Landsat-7 ETM+ and RADARSAT-1 Wide 1 data. The comparison was based on spectral characteristics of images using statistical and visual analyses of generated products. Four methods were used in the Landsat-7 ETM+ and RADARSAT-1 W1 data fusion: i) The best three bands combination(Landsat-7) based OIF (Optimum Index Factor) selection were merged with RADARSAT-1 data; ii) Decorrelation stretch was applied in the three bands (Landsat-7) selected by OIF and merged with RADARSAT-1 image; iii) PCA (Principal Component Analysis) to six reflective ETM+ bands (1, 2, 3, 4, 5 and 7) and posterior fusion of the three first Principal Components (PC1, PC2, PC3) with SAR; iv) A new approach SPC-SAR (Selective Principal Component - Synthetic Aperture Radar). The SPC-SAR product presented the best performance in the identification of coastal features and allowed the most effective enhancement of the different environments.