@Article{FonsecaKBGNSTM:2021:PaReRe,
               author = "Fonseca, Leila Maria Garcia and K{\"o}rting, Thales Sehn and 
                         Bendini, Hugo do Nascimento and Girolamo Neto, Cesare Di and 
                         Neves, Alana Kasahara and Soares, Anderson Reis and Taquary, 
                         Evandro C. and Maretto, Raian Vargas",
          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 {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 = "Pattern Recognition and Remote Sensing techniques applied to Land 
                         Use and Land Cover mapping in the Brazilian Savannah",
              journal = "Pattern Recognition Letters",
                 year = "2021",
               volume = "148",
                pages = "54--60",
             keywords = "Earth Observation, Agriculture mapping, Cerrado, Time series, Deep 
                         Learning, Pastureland, Deforestation, Remote sensing.",
             abstract = "The Brazilian Savannah, or Cerrado, has gained vital importance in 
                         the discussions about sustainable land development after the 
                         conversion of half of its natural vegetation. For the last two 
                         decades, most of the agricultural expansion in Brazil has occurred 
                         in this biome. This is related to technological improvements in 
                         agriculture as well as to environmental compliance policies that 
                         have effectively reduced soybean expansion in the Brazilian Amazon 
                         biome. Therefore, remotely sensed imagery, pattern recognition and 
                         image processing techniques have been employed to analyze and 
                         monitor the land dynamics over Cerrado. In this work, we present a 
                         brief review on Land Use and Land Cover mapping (LULC) in the 
                         Cerrado biome from an application perspective: natural vegetation, 
                         pastureland, agriculture, and deforestation. In this review we 
                         selected some studies whose results could contribute to the 
                         development of more detailed and accurate LULC maps for the 
                         Cerrado biome.",
                  doi = "10.1016/j.patrec.2021.04.028",
                  url = "http://dx.doi.org/10.1016/j.patrec.2021.04.028",
                 issn = "0167-8655",
                label = "lattes: 8609036872819243 2 FonsecaKBGNSTM:2021:PaReRe",
             language = "en",
           targetfile = "fonseca_pattern.pdf",
                  url = "http://doi.org/10.1016/j.patrec.2021.04.028",
        urlaccessdate = "30 abr. 2024"
}