@InProceedings{MoreiraKörDutCasAra:2019:CaReEx,
               author = "Moreira, Noeli Aline Particcelli and K{\"o}rting, Thales Sehn and 
                         Dutra, Luciano Vieira and Castejon, Emiliano Ferreira and Arai, 
                         Egidio",
          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)}",
                title = "Calibra{\c{c}}{\~a}o relativa para extens{\~a}o de assinaturas 
                         em s{\'e}rie de imagens MODIS",
            booktitle = "Anais... do 20º Simp{\'o}sio Brasileiro de Geoinform{\'a}tica",
                 year = "2019",
               editor = "Lisboa Filho, Jugurta and Monteiro, Antonio Miguel Vieira",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 20. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "geoinformatica.",
             abstract = "Time series data analysis must consider variations due to 
                         atmospheric effects, lighting and sensor parameters. Relative 
                         calibration allows to harmonize images of a series using its 
                         statistical parameters as a reference, thus allowing comparative 
                         analysis based on a reference date. This paper emphasizes a 
                         relative calibration process performed on MODIS multitemporal 
                         images as part of a process in a subpixel mapping methodology. 
                         This process allowed to calculate a linear regression model year 
                         by year in order to calibrate images from 2013 to 2017, based on 
                         the year 2012, and thus contributing to coverage classes detection 
                         closer to reality which were not previously identified.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "11 -13 nov. 2019",
                 issn = "2179-4847",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/3UFEC9P",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3UFEC9P",
           targetfile = "230-236.pdf",
        urlaccessdate = "20 abr. 2024"
}