@InProceedings{SoutoAmar:2005:ApTéGe,
               author = "Souto, Michael Vandesteen da Silva and Amaro, Venerando 
                         Eust{\'a}quio",
          affiliation = "{Universidade Federal do Rio Grande do Norte (UFRN). 
                         Geodin{\^a}mica e Geof{\'{\i}}sica.} and {Universidade Federal 
                         do Rio Grande do Norte (UFRN). Departamento de Geologia (DG).}",
                title = "Aplica{\c{c}}{\~a}o das t{\'e}cnicas de geoprocessamento para o 
                         mapeamento da vulnerabilidade natural para a regi{\~a}o da Ponta 
                         do Tubar{\~a}o, litoral setentrional do Estado do Rio Grande do 
                         Norte, Munic{\'{\i}}pio de Macau",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "2773--2778",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, GIS, vulnerability, sensoriamento remoto, SIG, 
                         vulnerabilidade.",
             abstract = "The study area is inserted in Ponta do Tubar{\~a}o region, Macau 
                         City, setentrional littoral of Rio Grande do Norte State, composed 
                         of Tertiary and Quaternary sedimentary rocks and sediments. This 
                         region is characterized for the interference of human activities, 
                         as the Petroliferous Industrial Polo, salt companies and shrimp 
                         farms. The main objective was the coastal monitoring using 
                         geoprocessing techniques to prepare thematic maps useful for 
                         environment risk areas survey. The methodology was based on 
                         interpretation of remote sensing image (Landsat 7 ETM+) and field 
                         checking, integrated in a Geographical Information System (GIS). 
                         The Geologic, Geomorphologic, Vegetation, Soil and Land Use maps 
                         were prepared, and later on they allowed the generation of the 
                         Natural Vulnerability map. These maps had been classified in 
                         accordance with vulnerability degrees: very low, low, medium, high 
                         and very high. These techniques application makes possible the 
                         optimization and implantation of new socio-economics activities of 
                         low environmental impact, indicates areas for better productivity 
                         and security exploration, and benefits local communities with 
                         fauna and flora preservation.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "Portugu{\^e}s",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.19.18.35",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.19.18.35",
           targetfile = "2773.pdf",
                 type = "Integra{\c{c}}{\~a}o de Sensoriamento Remoto em 
                         Aplica{\c{c}}{\~o}es GIS",
        urlaccessdate = "28 abr. 2024"
}