@InProceedings{GonçalvesMaAlVoViDa:2015:AvNíÁg,
               author = "Gon{\c{c}}alves, Thais Gabriela and Maciel, Daniel Andrade and 
                         Alves, Helena Maria Ramos and Volpato, Margarete Marin Lordelo and 
                         Vieira, Tatiana Grossi Chquiloff and Dantas, Mayara Fontes",
                title = "Avalia{\c{c}}{\~a}o do n{\'{\i}}vel de {\'a}gua do 
                         reservat{\'o}rio de Furnas nos anos de 2013 e 2014, utilizando 
                         imagens Landsat-8",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1502--1507",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Located in the middle of the Rio Grande in Minas Gerais state, 
                         Furnas hydroelectric occupies an area of 1440 km², with an 
                         estimated volume of 17,217 km³ used to generate 1216 megawatts of 
                         power. Around the lake, other economic activities such as 
                         agriculture, pisciculture and tourism are also important. A 
                         shortage of rainfall in the region in 2014 heavily impacted these 
                         activities, causing also a decrease in the reservoirs power 
                         generation capacity. The aim of this study was to assess the 
                         reduction of the volume of water in the reservoir using remote 
                         sensing and GIS. Landsat 8 26/04/2013 and 19/08/2014 satellite 
                         images were compared. The images were processed by eCognition 
                         Developer and Arcgis 10.2. It was observed that, in the 2013 
                         image, the reservoir area was at 1134 km2 of water and 71.51% of 
                         its capacity. In the 2014 image, the area decreased to 807,42km2 
                         and 27.55% capacity. This difference showed a reduction of 
                         7,082km³ in volume in 16 months. These results show the 
                         applicability of satellite imagery and GIS to estimate reservoir 
                         areas over time, assisting various sectors in decision making 
                         processes and helping to mitigate the consequences of droughts.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "280",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM487D",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM487D",
           targetfile = "p0280.pdf",
                 type = "An{\'a}lise de s{\'e}ries de tempo de imagens de sat{\'e}lite",
        urlaccessdate = "30 abr. 2024"
}