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@InProceedings{FragalNovoSilv:2015:AnBaEs,
               author = "Fragal, Everton Hafemann and Novo, Evlyn M{\'a}rcia Le{\~a}o de 
                         Moraes and Silva, Thiago Sanna Freire",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise de bandas espectrais e {\'{\i}}ndices de 
                         vegeta{\c{c}}{\~a}o NDVI e NBR para a reconstru{\c{c}}{\~a}o 
                         hist{\'o}rica da altera{\c{c}}{\~a}o da floresta de v{\'a}rzea 
                         do Baixo Amazonas atrav{\'e}s de s{\'e}rie temporal Landsat",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1975--1982",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "We examined which among two vegetation spectral indexes (NDVI or 
                         NBR) and original TM and ETM+ spectral bands are more suitable to 
                         reconstruct the historical baseline of disturbance and 
                         regeneration events in floodplain forests of the Lower Amazon. We 
                         studied Landsat temporal-spectral trajectories using the 
                         LandTrendr algorithm, for the 1984-2009 period. A time series of 
                         37 Landsat images was given as input to the pixel-based temporal 
                         segmentation algorithm present in LandTrendr. Results showed that 
                         NDVI was efficient in establishing a historical baseline of 
                         disturbance and regeneration events for the floodplain forest, due 
                         to its spectral amplitude throughout the time-series. NBR was 
                         suitable for establishing a historical baseline, but did not 
                         detected forest to water body conversion events, as there was 
                         little spectral difference between the near infrared (band 4) and 
                         mid infrared (band 7) spectral regions. The near infrared band was 
                         able identify events such 2, 4 and 6, but with less efficiency 
                         than NDVI. The red (band 3) and mid infrared (band 7) regions had 
                         little spectral variation over the 25 years analyzed, preventing 
                         correct identification of disturbance events. Based on NDVI, the 
                         amplitude of spectral values in the time-series was similar 
                         between remaining forest (event 1) and fast loss of floodplain 
                         forest by anthropogenic causes (event 3), which hindered the 
                         discrimination of these events based on temporal-spectral 
                         trajectories.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "393",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM49GB",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM49GB",
           targetfile = "p0393.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "28 nov. 2020"
}


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