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@InProceedings{FerreiraQuViCâMaSoSa:2015:ToSpDa,
               author = "Ferreira, Karine Reis and Queiroz, Gilberto Ribeiro and Vinhas, 
                         L{\'u}bia and C{\^a}mara, Gilberto and Maurano, Luis Eduardo and 
                         Souza, Ricardo Cartaxo Modesto and Sanchez, Alber",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Towards a Spatial Data Infrastructure for Big Spatiotemporal Data 
                         Sets",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7588--7594",
         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 = "The recent technological advances in geospatial data collection, 
                         such as mobile phones, Earth observation and GPS (Global 
                         Positioning System) satellites, have created bigger spatiotemporal 
                         data sets than ever. This novel scenario has motivated new 
                         infrastructures and technologies to efficiently store, process, 
                         analyze and disseminate large data sets. In this paper, we propose 
                         a Spatial Data Infrastructure (SDI) architecture for big 
                         spatiotemporal data sets and describe a pilot implementation of 
                         it. SDI is a sharing platform that facilitates the access and 
                         integration of multi-source spatial data in a holistic framework 
                         with a number of technological components including policies and 
                         standards.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "1746",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4K8P",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM4K8P",
           targetfile = "p1746.pdf",
                 type = "Modelagem espacial",
        urlaccessdate = "04 dez. 2020"
}


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