@InProceedings{LisboaSenn:2017:InReCl,
               author = "Lisboa, Rafael Oliveira Souza and Senna, Julian Alves de",
                title = "Integra{\c{c}}{\~a}o de resultados de classifica{\c{c}}{\~a}o 
                         em dados do sensor OLI (Landsat8), com modelo digital de 
                         eleva{\c{c}}{\~a}o (SRTM), como suporte ao mapeamento de 
                         {\'a}reas para a pr{\'a}tica de geoturismo e ecoturismo no 
                         Parque Estadual do Biribiri (MG)",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7248--7255",
         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 Biribiri State Park is a conservation unit (IEF). It is 
                         situated on the eastern and central border ofthe Serra do 
                         Espinha{\c{c}}o Meridional. It is located in Diamantina, Minas 
                         Gerais State. It is a monument of thenatural reserve, and has 
                         great environmental geodiversity. However, ecotourism practices 
                         are insufficient, andthe geotourism practices are absent. This 
                         investigation includes: (i) use the techniques of digital 
                         imageprocessing in OLI (Landsat-8) and SRTM sensors data, to 
                         classify areas with tourist vocations; and (ii) develop aGIS 
                         platform, with multi-thematic data, for making digital 
                         cartography. Considering the complexities involved,the aims for 
                         the study of the area are: (i) classify through arithmetic 
                         operations of bands, (ii) classify bynormalized difference indices 
                         and its variants, (iii) classify from the digital terrain model; 
                         and (iv) identify areasin the park. The results were relatively 
                         successful in discriminating the subdivisions of the park based on 
                         theclassification. The park contains five sectors: (i) north 
                         (local depression, sparse vegetation, large river); (ii) 
                         westcenter(intermediate altitude, dense vegetation): (iii) 
                         east-center (high, low vegetation); (iv) southwest(intermediate 
                         altitude, medium vegetation, streams and waterfalls); and (v) 
                         southeast (very high altitude, lowdense vegetation). The 
                         application of geotechnologies in the park was promising. The 
                         continuity of this researchwill produce resources to amplify 
                         scientific and adventure tourism in the park.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59550",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMFCL",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMFCL",
           targetfile = "59550.pdf",
                 type = "Mapeamento",
        urlaccessdate = "27 abr. 2024"
}