@Article{SouzaFoParaSilv:2005:ApBrAm,
               author = "Souza Filho, P. W. M. and Paradella, Waldirt Renato and Silveira, 
                         O. F. M.",
          affiliation = "Instituto Nacional de Pesquisas Espaciais, Divis{\~a}o de 
                         Sensoriamento Remoto (INPE, DSR)",
                title = "Synthetic Aperture Radar for Recognition of Coastal Features in 
                         the Wet Tropics: Applications in the Brazilian Amazon Coast",
              journal = "Boletim do Museu Paraense Em{\'{\i}}lio Goeldi - Ci{\^e}ncias 
                         Naturais",
                 year = "2005",
               volume = "1",
               number = "1",
                pages = "201--207",
                month = "jan-abr",
             keywords = "RADARSAT-1, JERS-1, Coastal wetlands, Amazon.",
             abstract = "Synthetic Aperture Radar (SAR) data with distinct operational 
                         configurations (frequency, viewing terrain geometry, resolution, 
                         etc) has been acquired in the Amazonian Region in the last ten 
                         years. As the Amazon coast is subject to rain, cloud, haze and 
                         smoke, SAR imageries are a powerful tool to provide coastal 
                         geology information due to the enhancement of the terrain caused 
                         by the side-view geometry and all-weather sensing capability. In 
                         this paper, we discuss the effect of digital image processing and 
                         interpretation of SAR images for recognizing coastal features in 
                         the wet tropics from the mangrove environment, paleo-alluvial and 
                         lacustrine system and mudcapes along the northern Brazilian coast. 
                         The application of microwave remote sensing data in the tropics 
                         has shown that an effective applicability of the SAR technology 
                         only will be expanded with the understanding of radar 
                         fundamentals, digital image processing, good field information and 
                         the knowledge about the application involved.",
           copyholder = "SID/SCD",
                 issn = "1807-5401",
             language = "pt",
           targetfile = "Synthetic Aperture radar - Souza Filho.pdf",
        urlaccessdate = "24 abr. 2024"
}