@InProceedings{DarskiBeigSilv:2017:DiCoFl,
               author = "Darski, Bianca and Beig, Andr{\'e} Bresighello and Silva, Thiago 
                         Sanna Freire",
                title = "Din{\^a}mica da cobertura florestal em diferentes escalas 
                         temporais para ambientes sazonalmente inundados de v{\'a}rzea na 
                         Amaz{\^o}nia",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6014--6021",
         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 = "Changes in v{\'a}rzea floodplain cover (flooded seasonally by 
                         whitewaters) can occur due to natural processes, such as erosion 
                         and sedimentation by flood, or by anthropogenic activities. 
                         Studies about floodplain land cover changes over time may be 
                         crucial to explain patterns of distribution and species diversity 
                         in these environments. However, the time scales most appropriate 
                         to detect such changes still unknown. In this study, we detected 
                         processes of deforestation and disturbance using the CLASlite 
                         algorithm, which was developed specifically to mapping of tropical 
                         forests. We evaluated forest cover changes in a floodplain area in 
                         Central Amazonia, based on a time series of Landsat 5/TM images, 
                         at two time scales: long (1989-2011) and short (1998-2003). We 
                         identified higher changes in the long time series than in the 
                         short series, with almost three times more forest changes detected 
                         in the long series. We observed that changes in forest cover over 
                         time in floodplain were, in general, more associated with 
                         disturbance than deforestation. No spatial pattern of forest 
                         change in both time series was found. Given that the CLASlite 
                         algorithm was developed to tropical forests, but not specifically 
                         for seasonally flooded forests, it is possible that the 
                         elimination of areas with water from the analysis is probably an 
                         important factor to consider when quantifying forest cover changes 
                         in floodplains.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59602",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMC5E",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMC5E",
           targetfile = "59602.pdf",
                 type = "Paisagens naturais",
        urlaccessdate = "27 abr. 2024"
}