@InProceedings{ZaniRosáBarrCruz:2013:CoMeMa,
               author = "Zani, Ma{\'{\i}}ra Vieira and Ros{\'a}rio, Luana Santos do and 
                         Barros, Rafael Silva de and Cruz, Carla Bernadete Madureira",
                title = "Uso de minera{\c{c}}{\~a}o de dados na identifica{\c{c}}{\~a}o 
                         da cobertura vegetal atrav{\'e}s de modelos espectrais: uma 
                         contribui{\c{c}}{\~a}o metodol{\'o}gica para o mapeamento na 
                         escala 1:100.000",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "3207--3214",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "This work aims to establish a spectral model that facilitates the 
                         identification and mapping of forest areas through classification 
                         of satellite images acquired on the West Zone of the city of Rio 
                         de Janeiro, a mesoscale approach (1:100,000). The study area in 
                         question presents a framework of intense urban growth, both by 
                         large commercial enterprises as property which causes the 
                         remaining forest areas suffer increasing pressure. Therefore it is 
                         extremely important to making maps of vegetation, so that 
                         monitoring is done, making it easier to identify and protect the 
                         area. To perform this study we used images of TM sensor of 
                         Landsat-5 for the year 2010 and the methodology follows the 
                         approach of object-based image analysis with the aid of data 
                         mining (Weka 3.2) and eCognition software. To validate the results 
                         were generated random points in the image that then were analyzed 
                         using the Google Earth program, which allowed the generation of a 
                         confusion matrix to evaluate the quality of the generated mapping. 
                         Importantly, the ranking generated despite not having undergone 
                         any manual editing or changing model achieved a high level of 
                         quality.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "975",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GH95",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GH95",
           targetfile = "p0975.pdf",
                 type = "Floresta e Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "02 maio 2024"
}