@InProceedings{EsquerdoCoutAntu:2013:UsCoDa,
               author = "Esquerdo, J{\'u}lio C{\'e}sar Dalla Mora and Coutinho, Alexandre 
                         Camargo and Antunes, Jo{\~a}o Francisco Gon{\c{c}}alves",
                title = "Uso combinado de dados NDVI/MODIS dos sat{\'e}lites Terra e Aqua 
                         no monitoramento multi-temporal de {\'a}reas agr{\'{\i}}colas",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "431--437",
         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 temporal analysis of vegetation indices has shown a great 
                         potential application of land surface monitoring, especially in 
                         areas with high spectral-temporal dynamics, such as agricultural 
                         crops. Not always the maximum value compositions, which synthesize 
                         the daily information obtained by sensors with high temporal 
                         resolution, are cloud-free. Moreover, the methods of time-series 
                         filtering may deform the spectral information and mask some 
                         phenological features of the crops. Therefore, the objective of 
                         this study was to analyze the combined use of NDVI/MODIS data 
                         obtained from Terra and Aqua satellites, in order to increase the 
                         frequency of the spectral information and assess its application 
                         in agricultural monitoring activities. Despite the age and time 
                         pass differences of these two satellites, the combined use of 
                         these two datasets was useful in activities of crop monitoring. 
                         Visual analysis of NDVI temporal profiles, produced by the 
                         combination of these two datasets, showed a significant 
                         improvement in the representation of agricultural cycles. The 
                         results also presented advantages in combining these two datasets 
                         in an activity of annual agriculture mapping in a region with 
                         frequent cloud cover.",
  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 = "759",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GFPR",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GFPR",
           targetfile = "p0759.pdf",
                 type = "Agricultura",
        urlaccessdate = "04 jun. 2024"
}