@InProceedings{DamasioNetoCoDiPiBiSa:2017:MaQuCa,
               author = "Damasio Neto, Jo{\~a}o Batista and Concei{\c{c}}{\~a}o, Luciana 
                         Nascimento and Dias, Gerson Santana and Pinheiro, Marcelo Antonio 
                         Amaro and Bitencourt, Marisa Dantas and Santos, Luciana Cavalcanti 
                         Maia",
                title = "Mapeamento, quantifica{\c{c}}{\~a}o e caracteriza{\c{c}}{\~a}o 
                         das {\'a}reas extrativas do caranguejo-u{\c{c}}{\'a} (Ucides 
                         cordatus) no sistema estuarino-lagunar de Canan{\'e}ia (Litoral 
                         Sul de S{\~a}o Paulo, Brasil) utilizando imagens Landsat- 8/OLI",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5163--5170",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Remote sensing is an indispensable tool for the monitoring of 
                         fishing areas mainly in mangrove estuarine environments. The 
                         Landsat 8/OLI satellite images are important tools for this 
                         purpose with high potential for mapping mangrove areas, and thus 
                         the fishing grounds of the crab Ucides cordatus, one of the most 
                         important mangrove fishery resources along the Brazilian coast. In 
                         this study, we mapped the mangrove extractive areas of this crab 
                         in Canan{\'e}ia estuary (S{\~a}o Paulo State), using Landsat 
                         8/OLI satellite images. We applied color composites, visual 
                         discrimination and supervised classification using the SIG SPRING. 
                         We found that the best color composites for visual analysis are 
                         those with principal components. Based on the remote sensing 
                         results, five extractive sectors were mapped the mangrove areas 
                         quantified. Each of them showed different features, suggesting 
                         distinct fishery management strategies. We concluded that the 
                         remote sensing tools and techniques here applied can be used as 
                         subsides for mapping Extractive Areas and Fishing Exclusion Areas, 
                         as pointed out by the proposal for a National Management Plan for 
                         the Sustainable Use of Ucides cordatus.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59868",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM4CS",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM4CS",
           targetfile = "59868.pdf",
                 type = "Oceanografia e sistemas costeiros",
        urlaccessdate = "27 abr. 2024"
}