@InProceedings{VinhasQueiFerrCâma:2016:WeSeBi,
               author = "Vinhas, L{\'u}bia and Queiroz, Gilberto Ribeiro de and Ferreira, 
                         Karine Reis and C{\^a}mara, Gilberto",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Web services for big Earth observation data",
            booktitle = "Anais...",
                 year = "2016",
         organization = "Brazilian Symposium on GeoInformatics, 17. (GEOINFO)",
             abstract = "The aim of geospatial web services is to enable users to share and 
                         process geospatial data on the Web, no matter what platform or 
                         protocol is used. In this paper, we investigate what are the 
                         design decisions needed to implement web services for big Earth 
                         observation (EO) data. The focus of the work is discussing what is 
                         unique about big EO data and why current standards are unsuitable 
                         for big EO data analytics. Instead, simpler APIs can be more 
                         effective for accessing big EO data than generic services such as 
                         WMS and WCS, specially for data analytics. We support this 
                         viewpoint by describing the WTSS Web Time Series Service that 
                         offers time series of remote sensing data using a simple API and 
                         is suited for big data analytics.",
  conference-location = "Campos do Jord{\~a}o, SP",
      conference-year = "27-30 nov. 2016",
                  ibi = "8JMKD3MGP3W34P/3N2U9JL",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34P/3N2U9JL",
           targetfile = "166-177vinhas-2.pdf",
        urlaccessdate = "18 abr. 2024"
}