@Article{GomesQueFerPebBar:2024:ToBiEa,
               author = "Gomes, Vitor Conrado F. and Queiroz, Gilberto Ribeiro de and 
                         Ferreira, Karine Reis and Pebesma, Edzer and Barbosa, Cl{\'a}udio 
                         Clemente Faria",
          affiliation = "{Instituto de Estudos Avan{\c{c}}ados (IEAv)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Westfalische Wilhelms University} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Brazil Data Cube Workflow Engine: a tool for big Earth observation 
                         data processing",
              journal = "International Journal of Digital Earth",
                 year = "2024",
               volume = "17",
               number = "1",
                pages = "e2313099",
                month = "Dec.",
             keywords = "Big data, Earth observation data, spatial data infrastructure, 
                         openEO, workflow orchestration.",
             abstract = "Earth Observation (EO) satellites have produced vast image 
                         collections that are freely accessible to society. However, 
                         handling these images often surpasses the capabilities of 
                         traditional hardware and software for EO data storage and 
                         processing, posing challenges for traditional Spatial Data 
                         Infrastructure (SDI). To overcome these challenges, innovative 
                         cloud computing and distributed systems have been developed, such 
                         as matrix databases, MapReduce systems, and web services. These 
                         technologies are now integrated into leading-edge platforms, 
                         forming a new generation of SDI for big EO data. These platforms 
                         have different characteristics in terms of governance, 
                         technologies, data access, infrastructure abstractions, data 
                         processing, and flexibility to extend their functionality. Our 
                         work contributes to the area of SDI for big EO data by proposing a 
                         server-side data-processing tool called Brazil Data Cube Workflow 
                         Engine (BDC-WE), based on workflow orchestration approach. BDC-WE 
                         provides a high-level interface using the openEO API for big EO 
                         data accessing and processing, allowing SDI maintainers to easily 
                         describe sequences of processes and integrate new algorithms. The 
                         architecture proposed in this study was implemented and the 
                         prototype was evaluated in two case studies described in this 
                         paper.",
                  doi = "10.1080/17538947.2024.2313099",
                  url = "http://dx.doi.org/10.1080/17538947.2024.2313099",
                 issn = "1753-8947",
             language = "en",
           targetfile = "Brazil Data Cube Workflow Engine a tool for big Earth observation 
                         data processing.pdf",
        urlaccessdate = "09 maio 2024"
}