@InProceedings{SafreAvilRomaAraú:2017:UsAlSA,
               author = "Safre, Anderson Luiz and Avilez, Alberto Mario and Romagnoli, Iris 
                         and Ara{\'u}jo, Leandro Mosc{\^o}so",
                title = "Uso do algoritmo SAFER para estimativa da 
                         evapotranspira{\c{c}}{\~a}o em sub-bacias do Rio Novo, municipio 
                         de Avar{\'e}-SP",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3608--3615",
         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 = "The use of satellite data has recently been adopted in studies for 
                         estimating hydrologic parameters, since they had presented 
                         efficient results calculating the surface radiation balance. On 
                         account of this, combining the set of remote sensing and 
                         agrometeorological data, it is possible to estimate 
                         evapotranspiration in large areas, based on the energy balance. 
                         The model applied in this case is a great tool for monitoring the 
                         effects of water withdrawl in the region, alerting and avoiding 
                         possible conflicts among users of water resources. Thereby, the 
                         present article sought to study the behavior of evapotranspiration 
                         in different types of land covers, with a high density of 
                         center-pivot irrigation systems through the SAFER (Simple 
                         Algorithm for Evapotranspiration Recovery) Algorithm in nine sub 
                         watersheds of Rio Novo, located in Avar{\'e} County, S{\~a}o 
                         Paulo state. The highest rates were found in February and October 
                         reaching values of 6,29 mm dia-1 and 7,60 mm dia-1. The center 
                         pivot systems and the citrus culture was the biggest water 
                         consumers.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60063",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLT9D",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLT9D",
           targetfile = "60063.pdf",
                 type = "Hidrologia",
        urlaccessdate = "27 abr. 2024"
}