@InProceedings{CastroFidaPrad:2017:AnOrOb,
               author = "Castro, L{\'{\i}}via Furriel de and Fidalgo, Elaine Cristina 
                         Cardoso and Prado, Rachel Bardy",
                title = "An{\'a}lise orientada a objetos aplicada a imagem de alta 
                         resolu{\c{c}}{\~a}o para identifica{\c{c}}{\~a}o de solo 
                         exposto em ambiente montanhoso de Mata Atl{\^a}ntica",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1518--1525",
         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 = "Since bared soil and lands with low production of biomass may be 
                         considered indicators of degraded areas, is important to develop 
                         methods to identify and classify bared soil using remote sensing. 
                         In this context, this study aimed to identify areas bared soil 
                         mountainous landscape of Atlantic Forest using Geographic 
                         Object-Based Image Analysis (Geobia) and its Principal Components 
                         applied to high resolution multispectral of images of the 
                         satellite World View-2. The classification method applied the 
                         third Principal Component, the Normalized Difference Vegetation 
                         Index (NDVI) and the image of the green spectral band. A visual 
                         evaluation of the classification results showed that the 
                         classification method was good to classify bared soil, which 
                         include dirt roads, land prepared for cultivation, and even 
                         degraded areas with low production of biomass, which is the study 
                         focus.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59611",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4GRG",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GRG",
           targetfile = "59611.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "27 abr. 2024"
}