@Article{ShimabukuroDAVAFRM:2006:NeReTi,
               author = "Shimabukuro, Yosio Edemir and Duarte, Valdete and Anderson, Liana 
                         Oighenstein and Valeriano, Dalton de Morisson and Arai, Edigio and 
                         Freitas, Ramon Morais and Rudorff, Bernardo Friedrich Theodor and 
                         Moreira, Maur{\'{\i}}cio Alves",
          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)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Near real time detection of deforestation in the Brazilian Amazon 
                         using MODIS imagery",
              journal = "Revista Ambiente \& {\'A}gua",
                 year = "2006",
               volume = "1",
               number = "1",
                pages = "37--47",
                month = "Ago.",
             keywords = "Brazilian Amazon, MODIS, Deforestation, Change detection, Fraction 
                         Images, Spectral mixing model.",
             abstract = "The objective of this paper is to provide near real time 
                         information about deforestation detection (DETER) in the entire 
                         Brazilian Amazon using MODIS high temporal resolution images. It 
                         is part of the operational deforestation monitoring project to 
                         estimate the annual deforestation rate in the Brazilian Amazon 
                         (PRODES). A rapid deforestation detection method was designed to 
                         support land use policies in this region. In order to evaluate the 
                         proposed method a test site was selected covering a Landsat ETM+ 
                         scene (227/68) located in Mato Grosso State. For this purpose a 
                         multitemporal series of MODIS surface reflectance images (MOD09) 
                         and the corresponding ETM+ images from June to October 2002 were 
                         analyzed. It was found that small deforested areas (lower than 15 
                         ha) were detected by MODIS images with lower accuracy when 
                         compared with ETM+ images. As the deforested areas increase MODIS 
                         and ETM+ results tend to converge. This procedure showed to be 
                         adequate to operationally detect and monitor deforested areas and 
                         has been used since 2004 as part of a government plan to control 
                         the Amazon deforestation.",
                  doi = "10.4136/1980-993",
                  url = "http://dx.doi.org/10.4136/1980-993",
                 issn = "1980-993X",
             language = "pt",
           targetfile = "13-56-1-PB.pdf",
                  url = "http://www.agro.unitau.br/seer/index.php/ambi-agua/",
        urlaccessdate = "30 jun. 2024"
}