@InProceedings{MelloAlve:2009:MéAnDi,
               author = "Mello, Allan Yu Iwama de and Alves, Di{\'o}genes Salas",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais - INPE} and {Instituto 
                         Nacional de Pesquisas Espaciais - INPE}",
                title = "Um m{\'e}todo para analisar a distribui{\c{c}}{\~a}o espacial 
                         das {\'a}reas de vegeta{\c{c}}{\~a}o secund{\'a}ria em 
                         {\'a}reas desflorestadas na Amaz{\^o}nia",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5981--5988",
         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 = "deforestation, secondary vegetation, landscape fragmentation, 
                         desflorestamento, vegeta{\c{c}}{\~a}o secund{\'a}ria, 
                         fragmenta{\c{c}}{\~a}o da paisagem.",
             abstract = "Deforestation in Brazilian Amazon is concentrated in some areas 
                         where the landscape tends to be dominated by pastures and 
                         partially by crops, with relatively few forest remnants, and some 
                         degree of secondary vegetation. Secondary vegetation can play an 
                         important role to mitigate deforestation impacts, although it has 
                         been suggested that it has decreasing importance in regions that 
                         concentrate most deforestation, according to studies based on 
                         analyses of Census data and classification of variable-sized 
                         sampling units based on remotely sensed imagery. The aim of this 
                         work is to define a method to analyze the spatial distribution of 
                         secondary vegetation based on the classification of randomly 
                         selected 10x10 km regular cells, and differentiating areas 
                         deforested before 1997 (old deforestation) from areas deforested 
                         after 2003 (new deforestation). Maps from INPE PRODES program were 
                         used as the source of deforestation data and Landsat TM imagery 
                         were classified to identify secondary vegetation in areas of old 
                         and new deforestation, in the randomly selected cells. Restricting 
                         classification to the randomly selected cells reduces the total 
                         classification time, contributes to better classification results 
                         by focusing on specific contexts, and can be used as the basis to 
                         differentiating secondary vegetation distribution according to 
                         both deforestation periods and visually-inferred landscape 
                         patterns.",
  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@80/2008/11.17.20.40",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.20.40",
           targetfile = "5981-5988.pdf",
                 type = "Mudan{\c{c}}a de Uso e Cobertura da Terra",
        urlaccessdate = "2024, May 02"
}