@InProceedings{FloresJúniorGomFerQueBon:2022:InFiDa,
               author = "Flores J{\'u}nior, Rog{\'e}rio and Gomes, Vitor Conrado Faria 
                         and Ferreira, Karine Reis and Queiroz, Gilberto Ribeiro de and 
                         Bonnet, Marie-Paule",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         de Estudos Avan{\c{c}}ados (IEAv)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Institut de Recherche pour le 
                         D{\'e}veloppement (IRD)}",
                title = "A QGIS plugin for BONDS project: integrating field data with 
                         geographical, remote sensing and health information",
            booktitle = "Anais...",
                 year = "2022",
               editor = "Rosim, Sergio (INPE) and Santos, Leonardo Bacelar Lima (CEMADEN) 
                         and Pereira, Marconi de Arruda (UFSJ)",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 23. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Open source Geographic Information System (GIS) have been 
                         fostering spatial data research such as Earth observation and 
                         environmental monitoring for more than 30 years. More recently, 
                         globally available geospatial information combined with web 
                         technologies are providing new environments and tools for data 
                         handling. Thus, binding the mapping and processing capabilities of 
                         traditional GIS to the accessibility and reliability of web-based 
                         data providers can bring new opportunities for research. In this 
                         paper, we built a QGIS plugin to explore the integration of 
                         different public data providers in Brazil along with field data 
                         produced by the BONDS project. The biOdiversity conservatioN with 
                         Development in Amazon wetlandS project (BONDS) proposes to develop 
                         biodiversity scenarios for the Amazonian floodplains aiming to 
                         support solutions to preserve biodiversity and ecosystem services. 
                         The use of web services enabled dynamic and fast access to several 
                         products ranging from remote sensing images, land use and land 
                         cover, territorial cartography, water quality, to COVID-19 health 
                         data, and more.",
  conference-location = "On-line",
      conference-year = "28 a 30 nov. 2022",
                 issn = "2179-4847",
             language = "en",
                  ibi = "8JMKD3MGPDW34P/487M63H",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/487M63H",
           targetfile = "156-167_FloresJunior_Qgis.pdf",
        urlaccessdate = "06 jun. 2024"
}