@InProceedings{GomesReiPimLimMel:2017:DeMaSi,
               author = "Gomes, James Joyce Bezerra and Reis, Vera L{\'u}cia and Pimentel, 
                         Alan dos Santos and Lima, Ylza Marluce Silva de and Mello, Saint 
                         Clair Marinho de",
                title = "Rede Hidrometeorol{\'o}gica do Estado do Acre: desafios para 
                         manuten{\c{c}}{\~a}o do sistema de telemetria",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5628--5635",
         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 = "Extreme rainfall and drought in the Amazon have produced 
                         increasingly severe floods and reduced access to water. The 
                         combination of increasingly variable climate and land use change 
                         in the Acre State has contributed to creating natural disasters, 
                         bringing social disruption due to rivers overflowing and 
                         collapsing supply systems. In order to facilitate the monitoring 
                         of climate extremes in the state, the Acre State Government 
                         invested, through partnership with the National Water Agency 
                         (ANA), in the expansion and modernization of the 
                         hydrometeorological network that is now part of the national 
                         network, allowing the collection of precipitation and river level 
                         data for the prediction of critical hydrological events and for 
                         early warnings. The data generated are transformed into 
                         information through bulletins and technical reports that guide 
                         monitoring, actions of prevention and control of natural 
                         disasters. This network is made up of 32 Data Collection Platforms 
                         - PCDs that cover the entire statelinked via the GOES satellite 
                         operated by NOAA. In order to maintain the system in full 
                         operation, the State strives to prioritize generating this 
                         information in despite the difficulty of access to remote sites, 
                         the need for constant training of the technical staff and the 
                         logistics necessary to maintain the network, particularly in the 
                         trinational Acre River Basin.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60130",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMBEE",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBEE",
           targetfile = "60130.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "27 abr. 2024"
}