@article{Kussul_Shelestov_Skakun_Kravchenko_Gripich_Hluchý_Kopp_Lupian_2012, title={The Data Fusion Grid Infrastructure: Project Objectives and Achievements}, volume={29}, url={https://www.cai.sk/ojs/index.php/cai/article/view/86}, abstractNote={This paper describes the objectives and achievements of the project "Data Fusion Grid Infrastructure’’ jointly supported by INTAS, the Centre National d’Etudes Spatiales (CNES) and the National Space Agency of Ukraine (NSAU). Within the project, a Grid infrastructure has been developed that integrates the resources of several geographically distributed organizations. The use of Grid technologies is motivated by the need to make computations in the near real-time for fast response to natural disasters and to manage large volumes of satellite data. We show the use of developed Grid infrastructure for a number of applications that heavily rely on Earth observation (EO) data. These applications include: numerical weather prediction (NWP), flood monitoring, biodiversity assessment, and crop yield prediction.}, number={2}, journal={COMPUTING AND INFORMATICS}, author={Kussul, Nataliia and Shelestov, Andrii and Skakun, Sergii and Kravchenko, Oleksii and Gripich, Yulia and Hluchý, Ladislav and Kopp, Paul and Lupian, Evgeny}, year={2012}, month={Jan.}, pages={319–334} }