@InProceedings{BarrosMoMaCoZaPeSh:2009:MaCoNa,
               author = "Barros, Marco Aur{\'e}lio and Morais, F{\'a}tima Maria de and 
                         Maia, Mari{\^a}ngela Aparecida Martins and Costa, Ulisses Elisio 
                         and Zaloti, Fabia Antunes and Pereira J{\'u}nior, Alfredo da 
                         Costa and Shimabukuro, Yosio Edemir",
          affiliation = "{Geoambiente Sensoriamento Remoto Ltda} and {Geoambiente 
                         Sensoriamento Remoto Ltda} and {Geoambiente Sensoriamento Remoto 
                         Ltda} and {Geoambiente Sensoriamento Remoto Ltda} and {Geoambiente 
                         Sensoriamento Remoto Ltda} and {Instituto Nacional de Pesquisas 
                         Espaciais} and {Instituto Nacional de Pesquisas Espaciais}",
                title = "Mapeamento da cobertura natural e uso da terra como subsidio ao 
                         estudo da din{\^a}mica e ocupa{\c{c}}{\~a}o do Estado do 
                         Tocantins entre 1990 e 2007",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "2555--2562",
         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, forest and savanna mapping, baba{\c{c}}u, remote 
                         sensing, digital image processing, mapeamento de florestas e 
                         cerrado, baba{\c{c}}u, sensoriamento remoto, processamento de 
                         imagens.",
             abstract = "In the Amazon Region large areas of savannas and forests have been 
                         changing in pasture and agriculture that modify the environment 
                         resulting in environmental and economic problems. The Tocantins 
                         state has climatics and physicals features common with Amazon and 
                         the Brazil Central Region and it is a transiction zone. On the 
                         purpose of study the dynamic of coverage and land use of the 
                         Tocantins state between 1990 and 2007, the Secretaria do 
                         Planejamento do Tocantins hired the Geoambiente Sensoriamento 
                         Remoto company. It was used 68 TM-Landsat-5 images from 1990, 
                         2000, 2005 and 2007. These images were orthorectified and it was 
                         applied the linear model of spectral mixture to extract soil, 
                         shadow and vegetation fractions. The images segmentation and 
                         non-supervised classification was done using soil and vegetation 
                         components. After the classification it was done a visual 
                         interpretation from the images considering 26 classes such as 
                         pasture, savanna, vereda, baba{\c{c}}ual. The baba{\c{c}}ual 
                         class has an energetical importance to Brazil. For the areas 
                         related to savanna and rainforest biome were created 
                         identification subclasses. During the mapping was established a 
                         set of rules of interpretation specific for each year. After the 
                         initial mapping it begun the field work. The doubtful areas were 
                         visited, georeferenced and photographed to correct and finish the 
                         mapping. In general it was noticed that most of the area are 
                         pasture and savanna modified and that palmeiral, baba{\c{c}}ual 
                         and mata seca classes are identified after visited in the field.",
  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@80/2008/11.17.10.16",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.10.16",
           targetfile = "2555-2562.pdf",
                 type = "Floresta e Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "13 maio 2024"
}