@InProceedings{GonçalvesSouzEscaKamp:2018:SpDaSt,
               author = "Gon{\c{c}}alves, Gabriel Crivellaro and Souza, Lucas Augusto de 
                         and Escada, Maria Isabel Sobral and Kampel, Silvana Amaral",
          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)}",
                title = "Spatial database to store years of Earth observation information 
                         obtained from field expeditions in the Amazon",
            booktitle = "Anais...",
                 year = "2018",
               editor = "Vinhas, L{\'u}bia (INPE) and Campelo, Claudio (UFCG)",
                pages = "134--139",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 19. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Earth observation information obtained through remote sensing and 
                         field expeditions generate large volumes of data. These 
                         information are usually stored on physical drives such as hard 
                         drives. However, this data must be available to all researchers 
                         and be stored at safe places. This paper presents the preliminary 
                         results of modeling a spatial database (SDB), and some tools for 
                         storing Amazonian field expedition information of land use and 
                         localities features. Now, an information subset is already being 
                         stored in the SDB using the web platform for management. This work 
                         contributes to highlights the relevance of database approach, 
                         making the management, access and query of this information easier 
                         to research purposes.",
  conference-location = "Campina Grande",
      conference-year = "05-07 dez. 2018",
                 issn = "2179-4847",
             language = "pt",
                  ibi = "8JMKD3MGPDW34P/3SG4DG8",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3SG4DG8",
           targetfile = "p14.pdf",
        urlaccessdate = "28 abr. 2024"
}