Real-Time Wildfire Monitoring Using Scientific Database and Linked Data Technologies
Authors: 
M. Koubarakis
Authors: 
C. Kontoes
Authors: 
S. Manegold
Authors: 
M. Karpathiotakis
Authors: 
K. Kyzirakos
Authors: 
K. Bereta
Authors: 
G. Garbis
Authors: 
C. Nikolaou
Authors: 
D. Michail
Authors: 
I. Papoutsis
Authors: 
T. Herekakis
Authors: 
M. Ivanova
Authors: 
Y. Zhang
Authors: 
H. Pirk
Authors: 
M. Kersten
Authors: 
K. Dogani
Authors: 
S. Giannakopoulou
Authors: 
P. Smeros
Date published: 
2013
Published In: 
In the 16th International Conference on Extending Database Technology (EDBT 2013). Genoa, Italy. March 18-22
Type: 
Conference Article
Abstract: 
We present a real-time wild re monitoring service that exploits satellite images and linked geospatial data to detect
hotspots and monitor the evolution of re fronts. The service makes heavy use of scienti c database technologies (array
databases, SciQL, data vaults) and linked data technologies (ontologies, linked geospatial data, stSPARQL) and is implemented on top of MonetDB and Strabon. The service is now operational at the National Observatory of Athens and
has been used during the previous summer by emergency managers monitoring wild res in Greece.
Related files: 
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