@InProceedings{GuerreroMaJuChMoTr:2017:EsCaBa,
               author = "Guerrero, Jo{\~a}o Vitor Roque and Mataveli, Guilherme Augusto 
                         Verola and Justino, Rodrigo Cesario and Chaves, Michel 
                         Eust{\'a}quio Dantas and Moschini, Luiz Eduardo and Trevisan, 
                         Diego Peruchi",
                title = "Classifica{\c{c}}{\~a}o orientada ao objeto para planejamento de 
                         Bacias hidrogr{\'a}ficas: Estudo de caso na bacia do Rio Clarinho 
                         - SP",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4827--4834",
         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 objective of this work was to propose the object oriented 
                         classification as a viable tool for territorial planning in 
                         watersheds. The study area chosen was the Clarinho River Basin, 
                         located in Santa Rita do Passa Quatro - SP, marked by the 
                         conflicting relationship between anthropic activities and the 
                         environment. The data processing was done in ArcGis 10.3.1 and to 
                         classify the image was used the Geographic Object-Based 
                         Information Analysis (GEOBIA), for allowing the partitioning of an 
                         image into objects and for contemplating different attributes 
                         (spectral, spatial, morphological, contextual and temporal). The 
                         results obtained show the efficiency of this approach in the 
                         classification of land use and vegetation cover at wathersheds, 
                         also presenting the advantages of low relative cost and less time 
                         in the execution in relation to other classification 
                         methodologies.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60127",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM3PG",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM3PG",
           targetfile = "60127.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "27 abr. 2024"
}