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@InProceedings{CostaMateBormOliv:2017:AnReEV,
               author = "Costa, Tassia Alves and Mateus, Pedro Jorge Bel{\'e} and Borma, 
                         Laura de Simone and Oliveira, Kenny Delmonte",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise da rela{\c{c}}{\~a}o EVI e TRMM para a bacia do 
                         Purus considerando a sazonalidade clim{\'a}tica na regi{\~a}o",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5960--5967",
         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 = "It is known that the dense forests, such as an Amazon, have 
                         dynamics of complex vegetation and, at the same time, represent a 
                         key role in carbon capture and climate change, being important 
                         completely comprehension of these ecosystems. One of the ways to 
                         understand these dynamics are the vegetation indices, such as the 
                         EVI, which has been enhanced to maximizing the response of green 
                         vegetation. Some studies done in the Amazon has presented widely 
                         divergent results with regard the EVI MODIS sensor and his 
                         possible correlation with rainfall data in dry extremes occurred 
                         in 2005 and 2010. In view of this, this work aimed to relate to 
                         different data sources remote sensing, using the sensor data MODIS 
                         monthly EVI and TRMM monthly precipitation, assessing whether, for 
                         wet and dry period and for the Purus basin located west of the 
                         Amazon, there is correlation between them. After total extraction 
                         and preprocessing the boxplot statistics were generated for the 
                         two data sources through the mean of all basin pixels for the 
                         proposed period, as well as their spatial distribution. For the 
                         period analyzed, the results show no relation between EVI and TRMM 
                         data to the working range used, however presented a spatial 
                         correlation between the data. This indicates the need for further 
                         studies on the spatial dynamics and temporal forest response in 
                         relation to rain and its forms of representation, on the scale of 
                         the basin.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59716",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMC37",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PSMC37",
           targetfile = "59716.pdf",
                 type = "Bacias hidrogr{\'a}ficas",
        urlaccessdate = "29 nov. 2020"
}


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