author = "Abreu, Marcelo Bueno de and Amaral, Felipe Gon{\c{c}}alves and 
                         Cruz, Carla Bernadete Madureira",
                title = "Caracteriza{\c{c}}{\~a}o espectral da floresta e {\'a}reas 
                         alagadas em imagens Worldview-2",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2238--2245",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "High resolution images have been evolving a lot in the past few 
                         years, with a steady increase in the available image collection. 
                         This has been enabling dynamics studies in larger scales, which 
                         requires a set of tools to standardize images from different dates 
                         and extract the maximum amount of information available. 
                         Atmospheric correction and image fusion are common tools used for 
                         these purposes. This work''s goal is to make a spectral 
                         characterization of forest and wetland areas on Worldview-2 images 
                         from the Silva Jardim County in Rio de Janeiro State. Reflection 
                         values from images before and after atmospheric correction and 
                         images fused with the panchromatic band were compared against each 
                         other. Two other Vegetation Indexes were created and, together 
                         with NDVI, used for the spectral characterization. The results 
                         showed that atmospheric correction met the expectation related to 
                         the vegetation target, adjusting the reflectance values of blue 
                         band relative to the green band. For the classes differentiation 
                         both infrared bands and red edge bands showed good results. The 
                         fused images indicated subtle variations to the values. When 
                         comparing fused and non fused images, the forest areas values were 
                         slightly bigger for the fused ones, whereas on wetlands the values 
                         for fused images were slightly smaller. The NDVI showed the best 
                         results among the indexes to distinguish the forest class, with 
                         values between 0,75 and 0,8.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "459",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM49Q5",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM49Q5",
           targetfile = "p0459.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "25 jan. 2021"