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@Article{BendiniSaKöFoLuFo:2016:UsLa8,
               author = "Bendini, Hugo do Nascimento and Sanches, Ieda Del'Arco and 
                         K{\"o}rting, Thales Sehn and Fonseca, Leila Maria Garcia and 
                         Luiz, Alfredo J. B. and Formaggio, Antonio Roberto",
          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)} and {Empresa Brasileira de Pesquisa 
                         Agropecu{\'a}ria (EMBRAPA)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Using Landsat 8 image time series for crop mapping in a region of 
                         Cerrado, Brazil",
              journal = "International Archives of the Photogrammetry, Remote Sensing and 
                         Spatial Information Sciences",
                 year = "2016",
               volume = "41",
                pages = "845--850",
                 note = "23rd International Archives of the Photogrammetry, Remote Sensing 
                         and Spatial Information Sciences Congress, ISPRS 2016; Prague; 
                         Czech Republic; 12 - 19 July 2016.",
             keywords = "Crop mapping, Landsat time series, Random Forest algorithm.",
             abstract = "The objective of this research is to classify agricultural land 
                         use in a region of the Cerrado (Brazilian Savanna) biome using a 
                         time series of Enhanced Vegetation Index (EVI) from Landsat 8 OLI. 
                         Phenological metrics extracted from EVI time series, a Random 
                         Forest algorithm and data mining techniques are used in the 
                         process of classification. The area of study is a region in the 
                         Cerrado in a region of the municipality of Casa Branca, S{\~a}o 
                         Paulo state, Brazil. The results are encouraging and demonstrate 
                         the potential of phenological parameters obtained from time series 
                         of OLI vegetation indices for agricultural land use 
                         classification.",
                  doi = "10.5194/isprsarchives-XLI-B8-845-2016",
                  url = "http://dx.doi.org/10.5194/isprsarchives-XLI-B8-845-2016",
                 issn = "1682-1750",
             language = "en",
        urlaccessdate = "26 nov. 2020"
}


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