@InProceedings{Marinho:2017:PrPrRE,
               author = "Marinho, Rog{\'e}rio Ribeiro",
                title = "Desmatamento em reservas extrativistas no nordeste de 
                         Rond{\^o}nia: proje{\c{c}}{\~o}es para projetos REDD",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2501--2507",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Carbon emissions from tropical forest biomass can contribute to 
                         global changes due to the increased concentration of greenhouse 
                         gases (GHG) in the atmosphere, and contributing to the global 
                         climate change. Deforestation of large forest areas in the Amazon 
                         is the main source of GHG emissions in Brazil, but the development 
                         of REDD projects is already considered a mechanism that 
                         contributes to reducing emissions from deforestation in the 
                         Amazon. This paper aims to simulate changes in forest cover and 
                         the carbon emissions associated with unplanned deforestation on 
                         extractive reserves areas in the northeast region of the state of 
                         Rond{\^o}nia, Brazil. The results indicate that there may be a 
                         reduction of approximately 44% of the forest cover on the analyzed 
                         areas, which corresponds to the emission of 33.64 x 106 tonnes of 
                         CO2e into the atmosphere over a 30-year period. These findings 
                         indicate that the region has high deforestation pressure, so we 
                         recommend directed actions on these protected areas to reduce GHG 
                         emissions and maintain the traditional local population 
                         livelihoods.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "61660",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLQMH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQMH",
           targetfile = "61660.pdf",
                 type = "Modelagem espacial",
        urlaccessdate = "27 abr. 2024"
}