@article{3035856,
    title = "Managing big, linked, and open earth-observation data: Using the TELEIOS/LEO software stack",
    author = "Koubarakis, M. and Kyzirakos, K. and Nikolaou, C. and Garbis, G. and Bereta, K. and Dogani, R. and Giannakopoulou, S. and Smeros, P. and Savva, D. and Stamoulis, G. and Vlachopoulos, G. and Manegold, S. and Kontoes, C. and Herekakis, T. and Papoutsis, I. and Michail, D.",
    journal = "IEEE Geoscience and Remote Sensing Magazine",
    year = "2016",
    volume = "4",
    number = "3",
    pages = "23-37",
    publisher = "Institute of Electrical and Electronics Engineers, Inc. (IEEE)",
    issn = "2168-6831",
    doi = "10.1109/MGRS.2016.2530410",
    keywords = "Earth (planet);  Electrooptical devices;  Life cycle;  Observatories;  Orbits, Data discovery;  Earth observation data;  European union;  Monitoring services;  Precision farming;  Software stacks;  Space agency, Data integration, data interpretation;  European Union;  life cycle analysis;  precision;  research and development;  software;  space technology",
    abstract = "Big Earth-observation (EO) data that are made freely available by space agencies come from various archives. Therefore, users trying to develop an application need to search within these archives, discover the needed data, and integrate them into their application. In this article, we argue that if EO data are published using the linked data paradigm, then the data discovery, data integration, and development of applications becomes easier. We present the life cycle of big, linked, and open EO data and show how to support their various stages using the software stack developed by the European Union (EU) research projects TELEIOS and the Linked Open EO Data for Precision Farming (LEO). We also show how this stack of tools can be used to implement an operational wildfire-monitoring service. © 2013 IEEE."
}