@InProceedings{MacielVADVCHGB:2017:NDÁrCa,
               author = "Maciel, Daniel Andrade and Volpato, Margarete Marin Lordelo and 
                         Alves, Helena Maria Ramos and Dantas, Mayara Fontes and Vieira, 
                         Tatiana Grossi Chquiloff and Coelho, Guilherme Leite Nunes and 
                         Hoyos, Juli{\'a}n Maur{\'{\i}}cio Agredo and Gon{\c{c}}alves, 
                         Thais Gabriela and Barata, Rafael Alexandre Pena and F",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "NDVI de {\'a}reas cafeeiras obtidos por diferentes m{\'e}todos 
                         de corre{\c{c}}{\~a}o atmosf{\'e}rica",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "531--538",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The coffee production has a great socioeconomic importance for 
                         Brazil, although the use of orbital data for its monitoring is 
                         still low. Remote sensing data, such as vegetation indexes, can be 
                         used to evaluate hydric stress, biomass and crop growth. However, 
                         there is a need of correcting the attenuating atmospheric effects 
                         from the reflectance in the atmosphere in order to obtain precise 
                         values. Several atmospheric correction techniques are proposed by 
                         literature and the objective of this research was to evaluate the 
                         obtained NDVI in coffee areas through three methods of atmospheric 
                         correction. It was assessed 211 spots in coffee areas from Santo 
                         Antonio do Amparo-MG for the years 2014 and 2015. The results 
                         showed high correlation between the methods (R˛=0,94). The 6S and 
                         Landsat CDR models presented higher differences in NDVI values 
                         than the DOS1 and the top of atmosphere methods. The analyzes 
                         revealed that the DOS1 atmospheric correction and the top of 
                         atmosphere data underestimate the NDVI values in all images 
                         studied. It was verified the influence of the atmospheric 
                         correction method on NDVI obtainment, with variations of up to 
                         14.8% in the final values. Therefore, it is recommended, whenever 
                         possible, the use of physical correction methods in NDVI 
                         calculations or in coffee areas in the studied region.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60112",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS44F4",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44F4",
           targetfile = "60112.pdf",
                 type = "Monitoramento agr{\'{\i}}cola",
        urlaccessdate = "27 abr. 2024"
}