@InProceedings{ArantesSantJúniFari:2017:DeInFi,
               author = "Arantes, Arielle Elias and Santos, Claudinei Oliveira and 
                         J{\'u}nior, Laerte Guimar{\~a}es Ferreira and Farias, Sylvia 
                         Elaine Marques de",
                title = "Determina{\c{c}}{\~a}o do in{\'{\i}}cio e final da 
                         esta{\c{c}}{\~a}o chuvosa para o Brasil com dados TRMM e o seu 
                         uso como proxy do per{\'{\i}}odo de crescimento das pastagens",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "669--676",
         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 comprehension of the start and end of the wet season are of 
                         fundamental importance to understand the ecological processes of 
                         vegetation growth, to guide farmers in establishing the 
                         appropriate dates of planting and harvesting, and to determine the 
                         productivity of rangelands for cattle ranching activity. There are 
                         various methods to estimate the start and end of the wet season, 
                         most which use precipitation from weather stations, requiring the 
                         compilation of massive amounts of data. To determine the most 
                         frequent dates of the start and end of the wet season for Brazil 
                         during the period of 1998-2015, as well as its relationship to 
                         pasture productivity, data from TRMM satellite was used in the 
                         TIMESAT software. The start and end of the wet season showed few 
                         discrepancies, mostly in the state of Bahia, Cear{\'a}, Rio 
                         Grande do Norte, Santa Catarina and Rio Grande do Sul, all which 
                         have high deviation of the mode, being areas that suffer the 
                         direct influence of the ITCZ (Intertropical Convergence Zone) and 
                         of several weather systems. The pastures located in the 
                         central-western and northeastern regions had the least wet season 
                         length, as such, animal supplementation could be a solution 
                         adopted in the dry season to minimize animal production losses. On 
                         the other hand, in the northern and southern regions, the pastures 
                         have the longest wet season length, and in these places, the 
                         farmers already adopt practices like the green cattle and the 
                         association of pastures and crops to maximize pasture and animal 
                         production.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59221",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS44ME",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44ME",
           targetfile = "59221.pdf",
                 type = "Meteorologia e climatologia",
        urlaccessdate = "27 abr. 2024"
}