author = "Carvalho, Nath{\'a}lia Silva de and Carvalho, Luis Marcelo 
                         Tavares de and Santiago, Thais Muniz Ottoni and Rezende, Jos{\'e} 
                         Luiz Pereira",
                title = "Using time series with object-image NDVI/TM for monitoring land 
                         cover dynamics in the Brazilian Amazon",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3632--3639",
         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 = "Biomes like the Amazon Rainforest are a challenge for change 
                         detection analysis due to high frequency of clouds. Moreover, time 
                         series analysis to change detection in Tropical Rainforests are 
                         still recent. This work investigates how a TM/NDVI time series 
                         constructed from object-images can help understand the 
                         deforestation process in the Amazon Rainforest over 28 years. The 
                         study area is located in the state of Mato Grosso, Brazil, within 
                         the Arc of Deforestation. We used the bfastSpatial package to 
                         obtain the mean annual behaviour of object-based time series from 
                         1984 to 2011. Moreover, we have also detected deforestation in 
                         2002, extracting the lower mean value of each object in this 
                         period. To evaluate the proposed method, we compare the processing 
                         time between a time series object-based and pixel level. 
                         Deforestation initiated in the 90s, with an intensification of the 
                         process in the early 2000s. The peak of deforestation observed 
                         from this period can be related to an increase in agricultural 
                         commodities prices, especially soybeans and meat in the early 
                         2000s. The validation to deforestation detection in 2002 has 
                         resulted in a producers accuracy of 85%. Construction of time 
                         series by applying an object-based methodology reduced the 
                         computational time in 95% and removed the influence of salt-pepper 
                         effect. The combination of these factors, may have contributed to 
                         the quality this result, representing a new approach for time 
                         series analysis.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59877",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLTAL",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PSLTAL",
           targetfile = "59877.pdf",
                 type = "Paisagens naturais",
        urlaccessdate = "15 jan. 2021"