@InProceedings{MoreiraFontKupl:2015:ApOnSé,
               author = "Moreira, Andreise and Fontana, Denise Cybis and Kuplich, Tatiana 
                         Mora",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Aplica{\c{c}}{\~a}o de ondaleta em s{\'e}rie temporal 
                         NDVI/MODIS para avalia{\c{c}}{\~a}o da fenologia de fisionomias 
                         campestres no Rio Grande do Sul",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1486--1493",
         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 = "The aim of this study was to unveil the phenology of different 
                         types of grasslands from the Pampa and Mata Atl{\^a}ntica biome 
                         in the Southern Brazil in a temporal series of NDVI data using 
                         wavelet transform. Relationship of the NDVI series with the 
                         Southern Oscilation Index (SOI), a measure related to El Nino and 
                         La Nina events, was also assessed. The grassland types were taken 
                         from a map derived after floristic, soil, elevation and climate 
                         data were combined, for Rio Grande do Sul State. NDVI MODIS data 
                         from 2000 to 2012 were sampled for the 10 different grassland 
                         types and these data were the input for a wavelet transform using 
                         Dog as the wavelet mother. Results indicated, for the campos de 
                         altitude a very clear year cycle, denoting the biomass increase 
                         and decrease during spring/summer and autumn/winter, respectively. 
                         For the remaining grassland types, the wavelet power graph showed 
                         the importance of cycles ranging from 4 to 8 years, pointing to 
                         the influence of El Nino and La Nina events on the vegetation 
                         growth and phenology. The wavelet analysis allowed identifying 
                         variations in the time series data analysed. The spectra of local 
                         and global wavelet power showed where and when these variations 
                         occurred. It could be observed changes in intra-sazonal patterns 
                         for the time series of NDVI/MODIS, with increased values during El 
                         Niño and decreased during La Niña events.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "276",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM486U",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM486U",
           targetfile = "p0276.pdf",
                 type = "An{\'a}lise de s{\'e}ries de tempo de imagens de sat{\'e}lite",
        urlaccessdate = "27 abr. 2024"
}