@InProceedings{RomaniCamQueFerVin:2017:ToQuLa,
               author = "Romani, Carlos A. and Camara, Gilberto and Queiroz, Gilberto 
                         Ribeiro and Ferreira, Karine Reis and Vinhas, Lubia",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Towards a query language for spatiotemporal data based on a formal 
                         algebra",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Davis Jr., Clodoveu A. (UFMG) and Queiroz, Gilberto R. de (INPE)",
                pages = "116--121",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 18. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The monitoring of land use and cover changes is essential for un- 
                         derstanding several environmental and socio-economic processes in 
                         the World. This monitoring requires novel software tools able to 
                         process big spatiotempo- ral data sets generated from Earth 
                         observation satellites efficiently. To generate land use and cover 
                         maps, researchers from different areas need high-level mech- 
                         anisms to easily handle these big data sets. Thus, this paper 
                         presents a query language for spatiotemporal data based on an 
                         algebraic formalism. By defining and implementing a temporal 
                         interval algebra, we can answer questions about land use and cover 
                         changes. For each location in study area, a time series is 
                         extracted of pre-processed and classified Earth observation 
                         data.",
  conference-location = "Salvador",
      conference-year = "04-06 dez. 2017",
                 issn = "2179-4820",
             language = "pt",
                  ibi = "8JMKD3MGPDW34P/3Q5DTC8",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3Q5DTC8",
           targetfile = "14romani_vinhas.pdf",
        urlaccessdate = "27 abr. 2024"
}