@InProceedings{SousaRibeCarn:2009:BaRiSo,
               author = "Sousa, Marineide Alves de and Ribeiro, R{\^o}mulo Jos{\'e} da 
                         Costa and Carneiro, Paulo Jorge Rosa",
          affiliation = "{Universidade Cat{\'o}lica de Bras{\'{\i}}lia} and 
                         {Universidade Cat{\'o}lica de Bras{\'{\i}}lia} and {Larrosa \& 
                         Santos Consultores Associados Ltda}",
                title = "Aplica{\c{c}}{\~o}es do sensoriamento remoto e do 
                         geoprocessamento. Estudo de caso: bacia do rio do Sono, TO – 
                         Brasil",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "2241--2248",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "CBERS image, Remote Detection, Geoprocessing of images, 
                         hydrographic basin, detec{\c{c}}{\~a}o remota, geoprocessamento 
                         de imagens, bacia hidrogr{\'a}fica.",
             abstract = "This work aims to study the remote detection and the geoprocessing 
                         applications from the satellite images of the CBERS-2 made 
                         available by the Brazilian National Space Research Institute 
                         (INPE). The Sono River Basin, located in the east of Tocantins, 
                         was analyzed using techniques such as satellite mosaic images, 
                         digital image georeferencing, and the classification of the use 
                         and occupation of the soil. Thematic maps were elaborated from the 
                         National Water Agency databases, which were made available by the 
                         Catholic University of Brasilia Post-Graduation course in Planning 
                         and Environmental Management. The Envi 4.3 and ArcGis 9.0 software 
                         were used for the digital image processing . The boarder 
                         adjustment tools available in the Envi were found to be efficient 
                         because the final mosaic that was generated did not present 
                         imperfections but did present homogeneous texture and colors. The 
                         georeferencing of the images was facilitated by the initial 
                         treatment offered by the INPE and was further enhanced by the 
                         CBERS images. The Maxver and Parallelepiped methods were used in 
                         the classification of the use and occupation of the basin. The 
                         Maxver method presented the best results for the classification 
                         while the Parallelepiped method presented incoherent results. The 
                         use of remote detection and image geoprocessing to generate 
                         thematic maps permits the obtainment of important, fast, and 
                         accurate information. The geoprocessing permitted the acquisition 
                         of the data regarding soil use and the quantification of occupied 
                         areas, revealing itself to be an efficient tool in terms of saving 
                         time as well as in terms of resources.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.17.18.42",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.18.42",
           targetfile = "2241-2248.pdf",
                 type = "CBERS: Avalia{\c{c}}{\~a}o e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "05 maio 2024"
}