@InProceedings{AugustoCostSeab:2017:ClBaOb,
               author = "Augusto, Rafael Card{\~a}o and Costa, Evelyn de Castro Porto and 
                         Seabra, Vinicius da Silva",
                title = "Classifica{\c{c}}{\~a}o baseada em objetos na bacia 
                         hidrogr{\'a}fica do rio Caceribu-RJ, e valida{\c{c}}{\~a}o a 
                         partir de pontos aleat{\'o}rios e imagens de alta 
                         resolu{\c{c}}{\~a}o",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3399--3406",
         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 = "The interpretation of satellite images allows the generation of 
                         maps, through the computational tools of geoprocessing, where it 
                         is possible to extract quantitative data on a particular topic. 
                         One of the main applications of this technology is in the 
                         characterization of human activities on the earth''s surface, and 
                         the land use and land cover an essential information for the 
                         understanding human manifestations. The aim of this study is 
                         mapping the land use and land cover of the Caceribu watershed, in 
                         the state of Rio de Janeiro, using modeling and object-based 
                         classification, followed by validation by random points using 
                         high-resolution images from Google Earth, and Global Accuracy 
                         Index, to analyze the quality of the classification. The results 
                         showed the agriculture and pasture class as the dominant in the 
                         watershed, and the materials and methods used met the objectives, 
                         reinforcing the importance of geotechnology in environmental 
                         studies. The validation indicated a good result of the 
                         classification, but indicated the limitations of classes modeling, 
                         revealing that the samples with error were particularly associated 
                         with some specific classes. The results obtained in this study may 
                         help in the future development of management plans that aim to 
                         make the environmental recovery of the watershed, and the 
                         validation results can help perform others modeling.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59728",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLSS7",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLSS7",
           targetfile = "59728.pdf",
                 type = "Classifica{\c{c}}{\~a}o e minera{\c{c}}{\~a}o de dados",
        urlaccessdate = "27 abr. 2024"
}