@InProceedings{AlvesAlveFlorPere:2012:ChLaUs,
               author = "Alves, Claudia Durand and Alves, Di{\'o}genes Salas and 
                         Florenzano, Teresa Gallotti and Pereira, Madalena Niero",
          affiliation = "undefined and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Characterizing land use and cover change and sugar cane expansion 
                         using TM data, EVI2-MODIS and object-based image analysis",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Feitosa, Raul Queiroz and Costa, Gilson Alexandre Ostwald Pedro da 
                         and Almeida, Cl{\'a}udia Maria de and Fonseca, Leila Maria Garcia 
                         and Kux, Hermann Johann Heinrich",
                pages = "628--633",
         organization = "International Conference on Geographic Object-Based Image 
                         Analysis, 4. (GEOBIA).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "land use/cover change, TM data, EVI2-MODIS, sugar cane, 
                         object-based classification.",
             abstract = "Land use/cover change (LUCC) is a cross-disciplinary research 
                         field in which remote sensing and geographic information systems 
                         (GIS) techniques have played an important role. Sugar cane 
                         expansion is one of the most important LUCC processes in 
                         Brazil,whose expansion has been monitored since the early 2000 
                         within the framework of INPEs CANASAT project. In this work, a 
                         methodology is proposed to investigate land use/cover changes in a 
                         region of sugar cane expansion based on integrating CANASAT maps, 
                         remote sensing data and agricultural statistics in a GIS, and 
                         assess, in particular, which land use/cover classes are converted 
                         to give place to sugar cane expansion in the 2003-2009 period. The 
                         area under study is the municipality of Barretos (S{\~a}o Paulo 
                         State), which suffered a strong expansion of sugar cane culture 
                         during the 2003-2009 period of study, accompanied by a 46% 
                         reduction in pasture areas, and a 40% increase in cattle. A land 
                         use/ cover map for the year of 2003 was produced based on Landsat 
                         Thematic Mapper (TM) , and MODIS EVI2 yearly maximum and time 
                         series; high spatial resolution images, available at Google Earth 
                         were also used. Two methods of classification were compared: a 
                         pixel-based automatic supervised classification using the SPRING 
                         software; and an object-based image analysis algorithm using 
                         Definiens software. The mapping evaluation was carried out by 
                         random points sampling verified by visual interpretation. The 
                         classifications using the object-based image analysis performed 
                         better than those executed by traditional pixel-based approach, 
                         and these methods resulted in Kappa indices of 0.68 and 0.47, 
                         respectively. Using the EVI2-MODIS time series was of fundamental 
                         importance for the discrimination among land use/cover classes.",
  conference-location = "Rio de Janeiro",
      conference-year = "May 7-9, 2012",
                 isbn = "978-85-17-00059-1",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP8W/3BT29D5",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3BT29D5",
           targetfile = "173.pdf",
                 type = "Classification",
        urlaccessdate = "25 abr. 2024"
}