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Managing Big, Linked, and Open Earth-Observation Data: Using the TELEIOS\/LEO software stack

Manolis Koubarakis, Kostis Kyzirakos, Charalampos Nikolaou, George Garbis, Konstantina Bereta, Roi Dogani, Stella Giannakopoulou, Panayiotis Smeros, Dimitrianos Savva, George Stamoulis, Giannis Vlachopoulos, Stefan Manegold (+4 others)
2016 IEEE Geoscience and Remote Sensing Magazine  

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september 2016 ieee Geoscience and remote sensinG maGazine 0274-6638/16©2016IEEE 23 B ig 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
more » ... 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.
doi:10.1109/mgrs.2016.2530410 fatcat:ha4yibpkb5cdhfxrhkev4625vm
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Manolis Koubarakis, Kostis Kyzirakos, Charalampos Nikolaou, George Garbis, Konstantina Bereta, Roi Dogani, Stella Giannakopoulou, Panayiotis Smeros, Dimitrianos Savva, George Stamoulis, Giannis Vlachopoulos, Stefan Manegold, Charalampos Kontoes, Themistocles Herekakis, Ioannis Papoutsis, Dimitrios Michail. "Managing Big, Linked, and Open Earth-Observation Data: Using the TELEIOS\/LEO software stack." IEEE Geoscience and Remote Sensing Magazine 4.3 (2016) 23-37