@InProceedings{BarrosCastSchw:2011:AnCoCl,
               author = "Barros, Adriana Oliveira and Castanha, M{\'a}rcio and Schwenk, 
                         Lunalva Moura",
          affiliation = "{Universidade Federal de Mato Grosso – UFMT} and {Universidade 
                         Federal de Mato Grosso – UFMT} and {Universidade Federal de Mato 
                         Grosso – UFMT}",
                title = "Classifica{\c{c}}{\~a}o de uso da terra no munic{\'{\i}}pio de 
                         Lucas do Rio Verde: uma an{\'a}lise da confiabilidade na 
                         classifica{\c{c}}{\~a}o autom{\'a}tica e manual de imagem 
                         Landsat nas {\'a}reas de preserva{\c{c}}{\~a}o permanente",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "6089--6096",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Image classification, APP, Validation, Index Kappa.",
             abstract = "The present work has as main objective the mapping of agricultural 
                         expansion in the city of Lucas do Rio Verde emphasizing the 
                         permanent preservation areas, where there will be an analysis of 
                         the reliability of automatic classification and manual as 
                         validation of Landsat data classification. Thus, for the mapping 
                         and classification of land use in that municipality became a 
                         supervised classification on Landsat-TM5 image with a resolution 
                         of 30 meters using Bhattacharya classifier using the software 
                         SPRING version 5.0.6. Subsequently the vector was done in the 
                         areas where there were the highest environmental impacts in a 
                         timely manner, in this case, the Permanent Preservation Areas, in 
                         Arc-GIS 9.3 software obtained as parameter three Google image 
                         clippings High Spatial Resolution. Finally the evaluation of data, 
                         made the comparison of manual and automatic classification of 
                         Landsat image data for the clips of vectorized images from Google. 
                         Thus the work resulted in the classification of Lucas do Rio Verde 
                         has a total area of 368,044 ha ², 66.37% of deforested areas, 
                         29.62% of areas with natural vegetation and even 4.01% of wetlands 
                         or rivers. As for the areas of APP are degraded considerably since 
                         the three methods were classified between 40 and 60% degradation 
                         in APP within the limits of cut samples. Finally, the accuracy of 
                         the data was considered reasonable for the automatic 
                         classification and excellent for the vector image in regard to the 
                         method of index Kappa.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A3U2RH",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A3U2RH",
           targetfile = "p1069.pdf",
                 type = "Uso e Cobertura da Terra",
        urlaccessdate = "27 abr. 2024"
}