@InProceedings{PinelConSilSatBon:2017:AcAsDa,
               author = "Pinel, Sebastien Stefan Laurent and Conchy, Tain{\'a} Sampaio 
                         Xavier and Silva, Joecila Santos da and Satg{\'e}, 
                         Fr{\'e}d{\'e}ric Christophe and Bonnet, Marie Paule",
                title = "Accuracy assessment of daily TRMM rainfall over a an unmonitored 
                         Amazonian floodplain",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6795--6802",
         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 = "Amazonian floodplains are among the most diverse and productive 
                         ecosystems in the world. Today, these sensitive zones are facing 
                         increasing human pressures and augmentation of extreme events. In 
                         large unmonitored regions, such as the low Amazonian basin, 
                         remotely sensed data appear as a solution to gather hydrological 
                         data. In this study, we aimed at building two rainfall datasets 
                         over the period 1998-2016: one issued from interpolation of 
                         remotely sensed rainfall (TRMM 3B42 v7 daily product), the other 
                         issued from the common Thiessen method applied over in situ 
                         rainfall records. Validation against an in situ gauge, installed 
                         for research needs, shows similar results in terms of accuracy for 
                         both rainfall dataset. When comparing amongst themselves, 
                         statistics indexes are analogous that one computed during the 
                         validation. An analysis of inter-annual rainfall highlights that 
                         TRMM sensor failed in retrieving the 2010 dry event. TRMM clearly 
                         show a tendency to decrease over the studied period. This 
                         phenomenon was not confirmed by the rain interpolated from the in 
                         situ gauges. In view of monitoring large, wild, international 
                         basins, such as the Amazon, there is a crucial need to improve the 
                         use of the Earth Observation data, to evaluate their quality and 
                         to combine with in situ data.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60228",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMDHM",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMDHM",
           targetfile = "60228.pdf",
                 type = "Meteorologia e climatologia",
        urlaccessdate = "27 abr. 2024"
}