@InProceedings{MelloAdamAguiRudo:2012:AuClLa,
               author = "Mello, M{\'a}rcio Pupin de and Adami, Marcos and Aguiar, Daniel 
                         Alves and Rudorff, Bernardo Friedrich Theodor",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Automatic classification of land cover change associated with the 
                         Brazilian sugarcane expansion over the last decade",
            booktitle = "Proceedings...",
                 year = "2012",
                pages = "6240--6243",
         organization = "International Geoscience and Remote Sensing Symposium, 32. 
                         (IGARSS).",
            publisher = "IEEE",
             keywords = "Automatic classification, Canasat Project, High quality data, Land 
                         use and land cover change, Land-cover change, LUCC, MODIS, 
                         Remotely sensed data, Visual interpretation, Geology, Radiometers, 
                         Remote sensing, Time series.",
             abstract = "MODIS time series have provided high quality data which allows 
                         retrieving land use and land cover change (LUCC) history related 
                         to sugarcane expansion in Brazil. Although visual interpretation 
                         is accurate, automatic classification methods for remotely sensed 
                         data should be tested mainly due to the extent of the Brazilian 
                         sugarcane area. Thus, this work aims at introducing automatic 
                         approaches to classify MODIS time series in order to retrieve LUCC 
                         history regarding sugarcane expansion over the last decade in 
                         Brazil. Results showed that about 65% and 20% of sugarcane 
                         expansion was over pasture and annual crop land, respectively. 
                         Although partial results indicated that automatic classification 
                         is a promising tool to analyze MODIS time series for LUCC studies, 
                         several improvements have to be considered before achieving 
                         reliable results.",
  conference-location = "Munich",
                  doi = "10.1109/IGARSS.2012.6352684",
                  url = "http://dx.doi.org/10.1109/IGARSS.2012.6352684",
                label = "lattes: 4872965504009836 1 MelloAdamAguiRudo:2012:AuClLa",
             language = "en",
           targetfile = "mello_automatic.pdf",
                  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6352684",
        urlaccessdate = "30 abr. 2024"
}