@InProceedings{SartorioLemMacDiaZan:2019:EtRo,
               author = "Sartorio, Let{\'{\i}}cia F. and Lemos, Anniely S. and Machado, 
                         Eduarda G. and Dias, Fabiano S. and Zanotta, Daniel C.",
          affiliation = "{Universidade Federal do Rio Grande (FURG)} and Instituto Federal 
                         de Educa{\c{c}}{\~a}o, Ci{\^e}ncia e Tecnologia do Rio Grande 
                         do Sul (IFRS) and Instituto Federal de Educa{\c{c}}{\~a}o, 
                         Ci{\^e}ncia e Tecnologia do Rio Grande do Sul (IFRS) and 
                         {Universidade Federal do Rio Grande (FURG)} and {Universidade 
                         Federal do Rio Grande do Sul (UFRGS)}",
                title = "An{\'a}lise de desempenho da metodologia autom{\'a}tica para 
                         detec{\c{c}}{\~a}o retroativa do desmatamento na Amaz{\^o}nia: 
                         etapa Rond{\^o}nia",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "3141--3144",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "desmatamento, prodes, detec{\c{c}}{\~a}o, deforestation, prodes, 
                         detection.",
             abstract = "Este estudo apresenta os resultados da aplica{\c{c}}{\~a}o de 
                         uma metodologia automatizada de detec{\c{c}}{\~a}o retroativa do 
                         desmatamento da Amaz{\^o}nia para o estado de Rond{\^o}nia. O 
                         sistema oficialmente adotado pelo governo passou a monitorar os 
                         focos de desflorestamento a partir de 1988, por{\'e}m, n{\~a}o 
                         apresenta mapeamento detalhado sobre esses epis{\'o}dios, 
                         contando apenas com as taxas anuais. Somente em 1997, com o PRODES 
                         digital {\'e} que o sistema passou a fornecer dados vetoriais 
                         sobre os fragmentos anualmente a partir de uma 
                         detec{\c{c}}{\~a}o anal{\'o}gica realizada por 
                         interpreta{\c{c}}{\~a}o visual. A metodologia automatizada de 
                         detec{\c{c}}{\~a}o reduz consideravelmente a interfer{\^e}ncia 
                         do usu{\'a}rio, diminuindo tamb{\'e}m o tempo de an{\'a}lise, 
                         al{\'e}m de conferir objetividade ao mapeamento. Com os 
                         resultados desse trabalho, p{\^o}de-se complementar a 
                         informa{\c{c}}{\~a}o sobre os desmatamentos ocorridos antes de 
                         2000, que alcan{\c{c}}aram 41456,084 kmē de {\'a}rea desmatada, 
                         e fornecer um banco de dados detalhando mais de tr{\^e}s 
                         d{\'e}cadas de explora{\c{c}}{\~a}o da floresta amaz{\^o}nica. 
                         ABSTRACT: This study describes the application of an automated 
                         methodology for retroactive detection of Amazon deforestation in 
                         Rond{\^o}nia-Brazil. The system officially adopted by the 
                         Brazilian government to detect the deforestation fragments was 
                         implemented in 1988. However, the detailed mapping was not 
                         possible, since only annual rates were counted, but with no 
                         spatial description. Only in 1997 the system started to provide 
                         data on digital systems, based on an analog verification performed 
                         by visual interpretation, which was able to produce detailed 
                         deforestation mapping. The automated detection used in this work 
                         reduces user interference as well as the time spent in the 
                         analysis, providing absolute objectivity to the mapping. By 
                         merging the available data to the data produced by the related 
                         method, the information on deforestation occurred before 2000, 
                         which reached 41456,084 kmē of deforested area, was completed and 
                         a database was provided detailing the three decades of research in 
                         the Amazon rainforest.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3U245C8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U245C8",
           targetfile = "97321.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "07 maio 2024"
}