@InProceedings{PereiraSilvBarb:2019:EsCaTr,
               author = "Pereira, Guilherme Reis and Silva J{\'u}nior, Manoel Mendes da 
                         and Barbosa, Ant{\^o}nio Helton da Silva",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Mapeamento dos espelhos d'{\'a}gua de reservat{\'o}rios da 
                         Para{\'{\i}}ba: estudo de caso da transposi{\c{c}}{\~a}o do 
                         Rio S{\~a}o Francisco",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "927--930",
         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 = "Mapeamento, Espelhos d’{\'a}gua, Reservat{\'o}rios, Rio S{\~a}o 
                         Francisco, Para{\'{\i}}ba, Mapping, Water mirrors, Reservoirs, 
                         S{\~a}o Francisco River, Para{\'{\i}}ba.",
             abstract = "O trabalho visa verificar os efeitos da transposi{\c{c}}{\~a}o 
                         do rio S{\~a}o Francisco nas {\'a}reas dos espelhos d{\'a}gua 
                         dos reservat{\'o}rios no estado da Para{\'{\i}}ba. A 
                         metodologia se baseou no processamento de imagens Landsat 8 do 
                         per{\'{\i}}odo de Junho a Julho entre 2016 e 2018. Para 
                         detec{\c{c}}{\~a}o dos reservat{\'o}rios foi utilizado o 
                         m{\'e}todo de transforma{\c{c}}{\~a}o das cores RGB para IHS. 
                         Al{\'e}m disso, foram levantados dados do Mapeamento Global de 
                         Precipita{\c{c}}{\~a}o por Sat{\'e}lite (GSMap) do estado da 
                         Para{\'{\i}}ba de 2017 e 2018, onde est{\~a}o localizados os 
                         reservat{\'o}rios. Os resultados mostram que houve 
                         recupera{\c{c}}{\~a}o parcial somente dos reservat{\'o}rios que 
                         receberam as {\'a}guas do S{\~a}o Francisco com aumento das 
                         {\'a}reas dos espelhos d{\'a}gua a partir de 2017. J{\'a} os 
                         dois reservat{\'o}rios que ainda n{\~a}o foram integrados e 
                         dependeram somente das chuvas do per{\'{\i}}odo n{\~a}o tiveram 
                         aumento de {\'a}rea. ABSTRACT: The objective of this work is to 
                         verify the effects of the transposition of the S{\~a}o Francisco 
                         river in the area of the water mirrors of the reservoirs in the 
                         state of Para{\'{\i}}ba. The methodology was based on the 
                         digital processing of Landsat 8 images between June and July of 
                         the 2016 until 2018, using the IHS transformation based image 
                         fusion. In addition Global Satellite Precipitation Mapping (GSMap) 
                         data of the Para{\'{\i}}ba were raised where they are located 
                         the reservoirs in the 2017 and 2018. The results show that there 
                         was partial recovery of these reservoirs with the arrival of the 
                         S{\~a}o Francisco waters between 2017 and 2018. The two 
                         reservoirs that were not yet integrated and depended only on the 
                         rainfall of the period did not increase the area.",
  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/3UA4CRS",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3UA4CRS",
           targetfile = "97877.pdf",
                 type = "Sensoriamento remoto de {\'a}guas interiores",
        urlaccessdate = "27 abr. 2024"
}