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@Article{AndersonShimDefrMort:2005:AsDeNe,
               author = "Anderson, Liana O. and Shimabukuro, Edemir Yosio and Defries, Ruth 
                         S. and Morton, Douglas C.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)/CPTEC} and {} 
                         and Columbia University in the City of New York, New York, United 
                         States and NASA Goddard Space Flight Center, Greenbelt, United 
                         States",
                title = "Assessment of deforestation in near real time over the Brazilian 
                         Amazon using multitemporal fraction images derived from Terra 
                         MODIS",
              journal = "IEEE Geoscience and Remote Sensing Letters",
                 year = "2005",
               volume = "2",
               number = "3",
                pages = "315--318",
                month = "July",
             keywords = "Data reduction, Deforestation, Optical resolving power, 
                         Radiometers, Real time systems, Soils, Amazon region, Fraction 
                         images, Moderate resolution imaging spectroradiometer (MODIS) 
                         sensor, Spatial resolution, Imaging systems, Deforestation, 
                         Radiometry.",
             abstract = "We present a methodology for rapidly assessing deforestation over 
                         the Amazon region needed for policy intervention. We use soil 
                         fraction images generated from Moderate Resolution Imaging 
                         Spectroradiometer (MODIS) data at 250-m spatial resolution. 
                         Results showed reasonable agreement with higher resolution Landsat 
                         data (r/sup 2/=0.73) for our study area. MODIS data are promising 
                         for near real-time deforestation monitoring, previously not 
                         practical with Landsat data.",
           copyholder = "SID/SCD",
                  doi = "10.1109/LGRS.2005.850364",
                  url = "http://dx.doi.org/10.1109/LGRS.2005.850364",
                 issn = "1545-598X",
             language = "en",
           targetfile = "Shimabukuro_Assessment.pdf",
        urlaccessdate = "22 jan. 2021"
}


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