@InProceedings{BuenoBour:2019:AnEsEs,
               author = "Bueno, Jos{\'e} Ot{\'a}vio de Almeida and Bourscheidt, Vandoir",
          affiliation = "{Universidade Federal de S{\~a}o Carlos (UFSCar)} and 
                         {Universidade Federal de S{\~a}o Carlos (UFSCar)}",
                title = "An{\'a}lise espa{\c{c}}o-temporal das estimativas de 
                         precipita{\c{c}}{\~a}o GPM/IMERG na {\'a}rea de 
                         capta{\c{c}}{\~a}o do Sistema Cantareira",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "1679--1682",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Precipita{\c{c}}{\~a}o, IMERG, pluvi{\^o}metros, Sistema 
                         Cantareira, Precipitation, IMERG, rain gauges, Cantareira Supply 
                         System.",
             abstract = "O regime hidrol{\'o}gico e as caracter{\'{\i}}sticas dos 
                         mananciais influenciam a quantidade de {\'a}gua 
                         dispon{\'{\i}}vel para os diferentes usos. Assim, o 
                         monitoramento do regime pluviom{\'e}trico {\'e} de grande 
                         import{\^a}ncia. Nesse sentido, o estudo buscou analisar a 
                         aplicabilidade de dados remotos de precipita{\c{c}}{\~a}o, 
                         atrav{\'e}s do produto GPM/IMERG, em grandes sistemas de 
                         capta{\c{c}}{\~a}o, tendo como modelo o Sistema Cantareira. Os 
                         resultados obtidos indicam boa correla{\c{c}}{\~a}o entre os 
                         dados de superf{\'{\i}}cie e os de sat{\'e}lite quando 
                         considerado um intervalo temporal mensal. Na perspectiva espacial, 
                         a distribui{\c{c}}{\~a}o da pluviometria tamb{\'e}m se mostrou 
                         similar para os dados de superf{\'{\i}}cie e remotos. Por fim, a 
                         an{\'a}lise espa{\c{c}}o-temporal indica que nos {\'u}ltimos 
                         anos o volume de chuva tem se distribu{\'{\i}}do gradualmente ao 
                         longo do Sistema Cantareira, com maior concentra{\c{c}}{\~a}o na 
                         por{\c{c}}{\~a}o sul. ABSTRACT: The hydrological regime and the 
                         characteristics of the water sources influence the amount of water 
                         available for the different uses. Thus, the monitoring of the 
                         rainfall regime is of great importance. In this sense, the study 
                         analyzes the applicability of remote precipitation data, through 
                         the product GPM/IMERG, in large reservoirs, using Cantareira 
                         Supply System as example. The results indicate a consistent 
                         correlation between the surface and satellite data, when 
                         considering a monthly time interval. In the spatial perspective, 
                         the rainfall distribution was also similar for surface and remote 
                         data. Finally, the spatial-temporal analysis indicates that in 
                         recent years the volume of precipitation is well distributed along 
                         the Cantareira System, with greater concentration in the southern 
                         portion.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3U3N5BL",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U3N5BL",
           targetfile = "97567.pdf",
                 type = "Hidrologia",
        urlaccessdate = "01 maio 2024"
}