@InProceedings{LeãoCuArOgSaLoSt:2015:UsImOL,
               author = "Le{\~a}o, Joaquim Ant{\^o}nio Dion{\'{\i}}sio and Curtarelli, 
                         Marcelo Pedroso and Ara{\'u}jo, Carlos Alberto Sampaio and 
                         Ogashawara, Igor and Sampaio, Fernanda Garcia and Lorenzzetti, 
                         Jo{\~a}o Ant{\^o}nio and Stech, Jos{\'e} Luiz",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {} 
                         and {} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Uso de imagens OLI/Landsat-8 e plataformas de coleta de dados 
                         limnol{\'o}gicos no monitoramento ambiental da piscicultura em 
                         tanque rede no reservat{\'o}rio de Furnas-MG",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1278--1285",
         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 = "In this work we evaluated possible impacts of the aquaculture 
                         activity on the water quality of Furnas hydroelectric reservoirs, 
                         Minas Gerais, Brazil. Our main goal was to test the applicability 
                         of Landsat Operational Land Imager (OLI) images to monitor 
                         possible impacts from fish net cages. The study area for this 
                         first application was the Furnas hydroelectric reservoir, located 
                         at Minas Gerais State, Southeastern of Brazil. The dataset used in 
                         this work comprises two Landsat/OLI images, one acquired during 
                         summer (08/02/2014) and another during the winter (03/08/2014), 
                         and limnological data was collected in situ by limnological 
                         equipments. First, the OLI images were converted to top of 
                         atmosphere radiance and atmospheric corrected to surface 
                         reflectance. After this, a water mask was applied in the images to 
                         extract the pixels of the reservoir. Finally, the k-mean algorithm 
                         was applied in the images to identify the different water masses 
                         inside the reservoir. The results of the classification were 
                         compared to the limnological data. Our results showed that regions 
                         with and without aquaculture activity presented differences in 
                         some water quality parameters. These differences were detected in 
                         the classifications of OLIs images, indicating the high potential 
                         of OLI for monitoring the aquaculture activity in other Brazilian 
                         reservoirs.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "234",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM47TS",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM47TS",
           targetfile = "p0234.pdf",
                 type = "Aquacultura",
        urlaccessdate = "27 abr. 2024"
}