@InProceedings{SantosPinPimAlvBit:2017:ApClCh,
               author = "Santos, Luciana Cavalcanti Maia and Pinheiro, Marcelo Antonio 
                         Amaro and Pimenta, Camila Evelyn Rodriguez and Alves, Sabrina 
                         Leite and Bitencourt, Marisa Dantas",
                title = "The use of RapidEye images and vegetation index to discriminate 
                         mangrove and tidal flat areas: applications to climate change 
                         monitoring",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7527--7534",
         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 = "Mangroves and tidal flats are intrinsic coastal ecosystems high 
                         venerable to impacts due to climate changes. This highlights the 
                         need for remote sensing tools and techniques to map and monitor 
                         these ecosystems. This study investigated the potential of 
                         different vegetation index applied in RadidEye images to 
                         discriminate mangrove and tidal flats areas, and the correlation 
                         among vegetation index and structural vegetation parameters of 
                         these environments. In the present study we found that the 
                         application of qualitative and quantitative remote sensing 
                         techniques using RapidEye images are suitable tools and techniques 
                         for mapping and discriminating mangrove and tidal flats 
                         physiognomies. With the advantage of the red edge band presented 
                         by the RapidEye images, the calculation of the NDVI Red Edge 
                         showed the best result for discriminating these vegetations. We 
                         conclude that RapidEye images are potential high resolution remote 
                         sensing tools for mapping mangrove and tidal areas, thus it can be 
                         applied for monitoring spatial temporal changes in this vegetation 
                         caused by climate changes, as sea level rise, using standard range 
                         values of NDVI Red Edge index for these physiognomies, as 
                         calculated and indicated in this study.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59374",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMFTB",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMFTB",
           targetfile = "59374.pdf",
                 type = "Sistemas marinhos costeiros",
        urlaccessdate = "27 abr. 2024"
}