@InProceedings{SilvaSoPeJuPeSa:2017:AnPaVe,
               author = "Silva, Rosane Gomes and Souza, Ka{\'{\i}}se Barbosa de and 
                         Peluzio, Telma Machado de Oliveira and Juvanhol, Ronie Silva and 
                         Peluzio, Jo{\~a}o Batista Esteves and Santos, Alexandre Rosa 
                         dos",
                title = "An{\'a}lise dos padr{\~o}es da vegeta{\c{c}}{\~a}o e da 
                         precipita{\c{c}}{\~a}o no Parque Nacional do Capara{\'o} entre 
                         2001 e 2014",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "639--645",
         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 = "Climate variations are main change agent in vegetation dynamics, 
                         and the precipitation is one of factors that affect in different 
                         ways their growth according to the intensity, duration and 
                         distribution. Detection of disturbances in weather patterns, could 
                         mean the alteration of natural landscapes in a given area and in 
                         its benefits. In this context, the objective of this study was to 
                         identify anomalies in behavior patterns of vegetation and 
                         precipitation using of remote sensing time series in Capara{\'o} 
                         National Park, and its relations to the occurrence of La Niņa and 
                         El Niņo events. Anomalies time series were generated for EVI and 
                         NDVI indices of the MODIS sensor and TRMM satellite precipitation 
                         between 2001 and 2014. There was a standard of anomaly peaks wich 
                         positive and negative values in all series, except for the day 
                         2005/12/03 for NDVI, wich the value was -0.28, extremely out of 
                         the patterns found in the NDVI time serie. This can be explained 
                         by the El Niņo occurrence, low intensity between 2005 and 2006, 
                         which results in impacts to the study area in mid-December and 
                         January. The use of remote sensing time series is suitable for the 
                         study of behavior patterns of vegetation and rainfall. However, in 
                         case of maximum pixel composition images, anomalies will be 
                         observed if its persistence corresponds the period considered for 
                         obtaining of image.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60150",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS44L4",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44L4",
           targetfile = "60150.pdf",
                 type = "Paisagens naturais",
        urlaccessdate = "27 abr. 2024"
}