@InProceedings{PenhaPleSilKorFon:2017:PrInAl,
               author = "Penha, Thales Vaz and Pletsch, Mikhaela Aloisia Jessie Santos and 
                         Silva-Jr, Celso Henrique Leite and Korting, Thales Sehn and 
                         Fonseca, Leila Maria Garcia",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Deteccao e delimitacao automatica de corpos hidricos em imagens 
                         Sentinel-2: uma proposta de integracao do algoritmo Fmask aos 
                         indices espectrais NDWI e MNDWI",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Davis Jr., Clodoveu A. (UFMG) and Queiroz, Gilberto R. de (INPE)",
                pages = "340--345",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 18. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Precise delimitation of water bodies is essential for several 
                         studies including watershed analysis. Its detection is able 
                         through techniques, such as spectral water indices, NDWI and 
                         MNDWI, and Fmask algorithm. Considering that individually those 
                         approaches are not accurate in different environments, we aimed in 
                         this work to evaluate the integration of Fmask to the NDWI and 
                         MNDWI for automatic detection of water bodies in Sentinel-2 
                         images. The results indicate that the combination of these methods 
                         allow to reduce omission errors in an automatic process of water 
                         bodies detection.",
  conference-location = "Salvador",
      conference-year = "04-06 dez. 2017",
                 issn = "2179-4820",
             language = "pt",
                  ibi = "8JMKD3MGPDW34P/3Q5E2J8",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3Q5E2J8",
           targetfile = "42penha_fonseca.pdf",
        urlaccessdate = "27 abr. 2024"
}