@InProceedings{FerreiraQCSVMSNCAGZ:2020:UsReSe,
               author = "Ferreira, Karine Reis and Queiroz, Gilberto Ribeiro and Camara, 
                         Gilberto and Souza, Ricardo Cartaxo Modesto de and Vinhas, Lubia 
                         and Marujo, Rennan de Freitas Bezerra and Sim{\~o}es, Rolf 
                         Ezequiel de Oliveira and Noronha, Carlos Alberto Ferreira de and 
                         Costa, Raphael Willian da and Arcanjo, Jeferson de Souza and 
                         Gomes, Vitor and Zaglia, Matheus Cavassan",
          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)} 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)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Using remote sensing images and cloud services on Aws to improve 
                         land use and cover monitoring",
            booktitle = "Proceedings...",
                 year = "2020",
                pages = "558--652",
         organization = "IEEE Latin American GRSS; ISPRS Remote Sensing Conference",
            publisher = "IEEE",
             keywords = "Cloud Computing, Remote sensing images, land use and cover 
                         monitoring, Amazon Web Service (AWS).",
             abstract = "The Brazilian National Institute for Space Research (INPE) 
                         produces official information about deforestation as well as land 
                         use and cover in the country, based on remote sensing images. The 
                         current open data policy adopted by many space agencies and 
                         governments worldwide provided access to petabytes of remote 
                         sensing images. To properly deal with this vast amount of images, 
                         novel technologies have been proposed and developed based on cloud 
                         computing and big data systems. This paper describes the INPEs 
                         initiatives in using remote sensing images and cloud services of 
                         the Amazon Web Services (AWS) infrastructure to improve land use 
                         and cover monitoring.",
  conference-location = "Santiago, Chile",
      conference-year = "21-26 Mar.",
                  doi = "10.1109/LAGIRS48042.2020.9165637",
                  url = "http://dx.doi.org/10.1109/LAGIRS48042.2020.9165637",
                 isbn = "978-172814350-7",
             language = "en",
           targetfile = "ferreira_using.pdf",
        urlaccessdate = "24 abr. 2024"
}