@InProceedings{Namikawa:2015:EsCaBa,
               author = "Namikawa, La{\'e}rcio Massaru",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Imagens landsat 8 para monitoramento de volume de {\'a}gua em 
                         reservat{\'o}rios: estudo de caso nas barragens jaguari e 
                         jacare{\'{\i}} do sistema cantareira",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4828--4835",
         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 = "This paper describes a methodology to extract open water surface 
                         from Landsat 8 multispectral images using IHS transformation of 
                         the 654 (RGB) color composition. The hue component H displays a 
                         better visual separability between open water features and other 
                         targets than the Normalized Difference Water Index using either 
                         Near-Infrared or Shortwave-Infrared. The methodology was tested 
                         using Landsat images over the Jaguari-Jacare{\'{\i}} reservoir 
                         located in S{\~a}o Paulo state in Brazil, which has been depleted 
                         over the course of the availability of Landsat images, specially 
                         during year 2014. The methodology requires the existence of the 
                         relation Water level x Volume x Area for the reservoir. Results 
                         indicate that the differences in volume and area between values 
                         extracted from imagery and published by the regulatory Agency ANA 
                         are less than 2% in average, with maximum difference just over 
                         5%.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "942",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4DAP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4DAP",
           targetfile = "p0942.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "27 abr. 2024"
}