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@InProceedings{BoulomytisBresFelg:2009:CaBaSu,
               author = "Boulomytis, Vassiliki Terezinha Galv{\~a}o and Bresaola 
                         J{\'u}nior, Ruben and Felgueiras, Carlos Alberto",
          affiliation = "{Faculdades ASMEC - UNISEP} and {Universidade Estadual de Campinas 
                         - FEC/UNICAMP} and {Instituto Nacional de Pesquisas Espaciais - 
                         DPI/INPE}",
                title = "Identifica{\c{c}}{\~a}o de {\'a}reas agr{\'{\i}}colas com 
                         interven{\c{c}}{\~a}o em {\'a}reas de preserva{\c{c}}{\~a}o 
                         permanente: caso da bataticultura na sub-bacia do Rio das Antas, 
                         Bueno Brand{\~a}o, MG",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5115--5122",
         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 = "Water degradation, image classification, data integration, GIS.",
             abstract = "The TM/LANDSAT-5 image (bands 3, 4 and 5) was used to identify the 
                         potato cropping fields in the watershed of Rio das Antas, 
                         responsible for the public supply of Bueno Brand{\~a}o, south of 
                         Minas Gerais State. The period chosen for achieving the image was 
                         the one during the land preparation for plantation, as it is 
                         easier to visualize the predominant color and texture of its bare 
                         soils. The geographic locations of eighteen plantation spots were 
                         collected by GPS, in the central part of the fields. The GIS 
                         software used in the study was SPRING (version 4.3.3). After the 
                         image was segmented in regions, a supervised classification using 
                         the Bhattacharyya classifier was done in order to discriminate the 
                         potato cropping areas. The approached permanent preservation areas 
                         covered thirty meters from the edge of 10-meter-width rivers and 
                         streams, besides fifty meters from the center of springs, as these 
                         are the most frequent kinds of occurrence in the area of study. 
                         For the data integration, the language program LEGAL was used, 
                         which is a tool of SPRING software. The purpose of the study was 
                         to achieve the areas which suffer interventions as they may damage 
                         the water quality of the watershed. The results showed that most 
                         of the intervention areas were by the rivers, but also that there 
                         was a lot of intervention close to springs, although the relative 
                         level of it was low. It was also shown that this methodology might 
                         be used as an aid to monitor any kinds of cropping and protection 
                         areas.",
  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@80/2008/11.18.11.25",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.18.11.25",
           targetfile = "5115-5122.pdf",
                 type = "Monitoramento e Modelagem Ambiental",
        urlaccessdate = "28 mar. 2024"
}


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