author = "Anderson, Liana Oighenstein and Shimabukuro, Yosio Edemir and 
                         Arai, Eg{\'{\i}}dio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Multitemporal fraction images derived from Terra MODIS data for 
                         analysing land cover change over the Amazon region",
              journal = "International Journal of Remote Sensing",
                 year = "2005",
               volume = "26",
               number = "11",
                pages = "2251--2257",
                month = "June",
             keywords = "land cover, Amazonia, South America, Western Hemisphere, World, 
                         Moderate Resolution Imaging Spectroradiometer (MODIS.",
             abstract = "The Moderate Resolution Imaging Spectroradiometer (MODIS) 
                         instrument onboard Earth Observing System (EOS) Terra plataform 
                         has been designed to provide improved information for monitoring 
                         land, ocean, and atmosphere conditions. The design combined 
                         characteristics of the Advanced Very High Resolution Radiometer 
                         (AVHRR) and the Landsat Thematic Mapper (TM), adding spectral 
                         channels in the middle and thermal infrared wavelength and 
                         providing data in 250 m, 500m and 1 km spatial resolutions. 
                         Spectral channels for atmospheric and cloud characterization have 
                         been included to permit both the removal of atmospheric effects on 
                         surface observations and the provision of atmospheric measurements 
                         (Justice et al. 1998).",
           copyholder = "SID/SCD",
                  doi = "10.1080/01431160310001620795",
                  url = "http://dx.doi.org/10.1080/01431160310001620795",
                 issn = "0143-1161",
             language = "en",
           targetfile = "multitemporal fraction.pdf",
        urlaccessdate = "22 jan. 2021"