author = "Beig, Andr{\'e} Bresighello and Darski, Bianca and Silva, Thiago 
                         Sanna Freire",
                title = "Mapeamento de mudan{\c{c}}as na cobertura florestal das 
                         v{\'a}rzeas amaz{\^o}nicas utilizando o algoritmo CLASlite",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3752--3759",
         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 = "Given the effort and time demanded for manually mapping forest 
                         cover change, tools that can automate this process are essential 
                         for monitoring large areas. The CLASlite algorithm is one of many 
                         tools that can be used for automated forest mapping, utilizing 
                         fractional cover to generate a subpixel analysis. In areas such as 
                         the v{\'a}rzea floodplains of the Amazon basin, the high 
                         discharges and sediment loads, together with the shallow slopes, 
                         generate a highly dynamic landscape due to fluvial processes. Our 
                         study therefore evaluated the accuracy of the CLASlite forest 
                         mapping algorithm in determining forest cover changes caused by 
                         fluvial dynamics, by comparing automated results with manually 
                         generated maps, both based on a time series of five Landsat 5/TM 
                         images, from 2005 to 2009. The study site was a small subset of 
                         the Mamirau{\'a} Sustainable Development Reserve, located in the 
                         Solim{\~o}es/Amazon river floodplain, Brazil. By testing 
                         different combinations of algorithm parameters for the CLASlite 
                         forest cover mapping tool, we were able to determine how each 
                         parameter influenced mapping accuracy. Overall, the CLASlite 
                         algorithm has been shown to be very effective in mapping already 
                         consolidated forest areas, but efficiency decreases for areas 
                         closer to the riverbed, which are the most susceptible to river 
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59489",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLTFS",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PSLTFS",
           targetfile = "59489.pdf",
                 type = "Desflorestamento",
        urlaccessdate = "24 jan. 2021"