@InProceedings{DuarteMarShiFreAra:2007:PrBaPr,
               author = "Duarte, Valdete and Martini, Paulo Roberto and Shimabukuro, Yosio 
                         Edemir and Freitas, Ramon Morais de and Arai, Eg{\'{\i}}dio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Monitoramento do desflorestamento em escala global: uma proposta 
                         baseada nos projetos PRODES Digital e DETER",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "6687--6694",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 13. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Deforestation, MODIS, Spectral Linear Mixture Model, Panamazon, 
                         {\'A}frica, Desflorestamento, MODIS, Modelo Linear de Mistura 
                         Espectral, Panamaz{\^o}nia, Africa.",
             abstract = "The purpose of this work is to propose a method to monitor 
                         deforestation areas in a global scale. It is based on the method 
                         used by PRODES Digital and DETER projects performed by INPE. The 
                         availability of MODIS sensor data with moderate spatial and high 
                         temporal resolutions is appropriate for this kind of study. The 
                         MODIS high accuracy of georeferencing is the other important 
                         characteristics to be considered in global monitoring. In this 
                         method, the Linear Spectral Mixture Model is used to generate the 
                         fraction images to reduce the data volume and also to enhance the 
                         specific ground targets. For example, vegetation fraction can be 
                         used for analyzing vegetation condition, soil fraction shows the 
                         non vegetated areas, and shade fraction highlights the water 
                         bodies, burned areas and also discriminates the forest and non 
                         forested areas. Currently, this method has been proposed for 
                         monitoring South American Amazonia (Panamazon project). The 
                         preliminary findings of Panamazon project are presented showing 
                         the feasibility of the proposed method for global monitoring. In 
                         addition, some MODIS acquired over Africa countries in 2001, 2002 
                         and 2006 show the intra and inter annual variations of land cover 
                         that can be addressed by this proposed method.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
           copyholder = "SID/SCD",
                 isbn = "978-85-17-00031-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/11.22.18.50",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.22.18.50",
           targetfile = "6687-6694.pdf",
                 type = "Floresta",
        urlaccessdate = "20 maio 2024"
}