@InProceedings{SartoriPoloLedaZimb:2015:AbGeMu,
               author = "Sartori, Anderson Antonio da Concei{\c{c}}{\~a}o and Polonio, 
                         Vanessa Durante and Leda, Victor Costa and Zimback, C{\'e}lia 
                         Regina Lopes",
                title = "Delimita{\c{c}}{\~a}o de zonas de manejo (ZMs) na cultura da 
                         cana-de-a{\c{c}}{\'u}car, atraves de dados de reflect{\^a}ncia 
                         do sat{\'e}lite Landsat-8: uma abordagem em 
                         geoestat{\'{\i}}stica multivariada",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4705--4712",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Given the complexity of interactions between factors which affect 
                         the crop of sugarcane, it becomes essential to determine the 
                         quantity and quality of yield then justifies the approach 
                         geostatistics multivariate for delineation of site-specific 
                         management units. The aim of this study was to delineate 
                         homogeneous management zones in sugarcane field. Geostatistical 
                         multivariate analysis was used for delineation of management zones 
                         by of spectral bands of Landsat-8. Multivariate analysis was 
                         performed with the package software ISATIS with the following 
                         steps: Gaussian Anamorphosis Modelling; Linear Model of 
                         Coregionalization (LMC) and Factorial Cokriging (FCK). For all 
                         spectral bands was assumed intrinsic stationary. The spectral 
                         bands used in the study were: band 1 - aerosol coast, band 2 blue, 
                         band 3 green, band 4 red, band 5 - near infrared (NIR), band 6 - 
                         SWIR 1, band 7 - SWIR 2, band 10 and band 11 - thermal infrared. 
                         The results were: Management Zones (MZs) at short range for the 
                         first factor which is directly related to the surface temperature; 
                         (MZs) at long range for first and second factor which is directly 
                         and indirectly related to the water content in the crop and 
                         surface temperature, respectively. It was concluded that approach 
                         geostatistical multivariate allowed us to separate the different 
                         sources of spatial variation at different scales.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "922",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4D6P",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4D6P",
           targetfile = "p0922.pdf",
                 type = "Modelagem espacial",
        urlaccessdate = "27 jun. 2024"
}