@InProceedings{CostaKupl:2011:AnDiVe,
               author = "Costa, Bibiana Salvador Cabral da and Kuplich, Tatiana Mora",
          affiliation = "{Centro Estadual de Pesquisas em Sensoriamento Remoto e 
                         Meteorologia - CEPSRM / UFRGS} and {Centro Regional Sul de 
                         Pesquisas Espaciais - CRS/ INPE}",
                title = "An{\'a}lise da din{\^a}mica de vegeta{\c{c}}{\~a}o campestre 
                         em s{\'e}rie temporal de {\'{\i}}ndice de vegeta{\c{c}}{\~a}o 
                         e dados meteorol{\'o}gicos",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5638--5645",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "grasslands, time series, cross-correlation, wavelets transforms, 
                         campos, s{\'e}ries temporais, correla{\c{c}}{\~o}es cruzadas, 
                         tranformadas de ondaletas.",
             abstract = "The use of remotely sensed data allows the monitoring of vegetated 
                         areas. The dynamics of Vegetations Indexes can be related to 
                         vegetation phenology and to meteorological data. The Conservation 
                         Unit of Ibirapuit{\~a}, located inside the grasslands of Pampa 
                         biome in Rio Grande do Sul was chosen as the area for a temporal 
                         study with the objective of analyzing the vegetation 
                         dynamics/phenology in times series of NDVI (from MODIS data) and 
                         meteorological data (precipitation, temperature and relative air 
                         humidity). Monthly averages of NDVI and meteorological data were 
                         acquired from February 2000 to September 2009. These temporal data 
                         were smoothed by a moving average procedure and tendencies and a 
                         seasonal index for the series were estimated. Relationships 
                         between NDVI and meteorological data were estimated by cross 
                         correlation with time lag. The wavelet transformation with the DOG 
                         mother function was used to generate the temporal power spectrum 
                         of both data series and helped recognize inter and intra-annual 
                         vegetation and climate dynamics. Peaks in NDVI responses coincided 
                         with the time of grassland vegetation growing season. The 
                         correlation between the data showed a fast response of the NDVI to 
                         high levels of precipitation and air humidity. The data and 
                         methods presented here made possible the seasonal analysis of 
                         NDVI, and, by extension, the temporal dynamics of the vegetation. 
                         Field data and a longer temporal series will complement a future 
                         study of the same area.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A498NL",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A498NL",
           targetfile = "p1045.pdf",
                 type = "An{\'a}lise Florestal e Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "07 maio 2024"
}