@InProceedings{DelgadoSeLiAnSoPe:2013:ClEsÁr,
               author = "Delgado, Rafael Coll and Sediyama, Gilberto Chohaku and Lima, 
                         Evaldo de Paiva and Andrade, Ricardo Guimar{\~a}es and Souza, 
                         Leonardo Paula de and Pereira, Felipe Alvim",
                title = "Classifica{\c{c}}{\~a}o espectral de {\'a}reas plantadas com as 
                         culturas do milho e feij{\~a}o por meio da {\'a}rvore de 
                         decis{\~a}o",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "616--623",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The aim of this study was to test the classifier decision tree. It 
                         was made using the remote sensing (RS) to identify planted area 
                         with corn and beans at different times of plantations at the 
                         Embrapa Milho e Sorgo experimental area, located at Sete Lagoas, 
                         MG. The SR techniques plus a Geographic Information System (GIS), 
                         allow a temporal analysis of use and occupation of the land, 
                         especially in order to identify and monitor the agricultural 
                         areas. However, the diversity in the land use and dynamics of 
                         agricultural targets bring difficulties to the right 
                         identification. This occurs because of the phenology crop and 
                         consequently the variations of the spectral behavior of these 
                         targets. The present study showed that in small areas of beans, 
                         where the irrigation is common, the values obtained by the 
                         decision tree underestimated the value of 36,5% observed in the 
                         field (39,0 ha), since the main variable considered for the 
                         beginning of the classification decision tree was the NDVI index 
                         (Normalized Difference of the Vegetation Index). It was also 
                         verified that the higher NDVI values provided better results of 
                         the estimated planted area, where it was found an error of 18,9% 
                         for the corn crop, when the observed value was 19,6 ha.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "510",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GDQ8",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GDQ8",
           targetfile = "p0510.pdf",
                 type = "Agricultura",
        urlaccessdate = "15 jun. 2024"
}