Abstract
Traditional satellite and camera-based systems, are currently the predominant methods for detecting forest fires. Our study has identified that these systems lack immediacy as detected fires must gain some momentum before they are detected. In addition, they suffer from decreased accuracy especially during the night, where visibility is diminished. In this paper, we present FireWatch, a system that aims to overcome the aforementioned limitations by combining a number of technologies including Wireless Sensor Networks, Computer-supported Cooperative Work and Geographic Information Systems in a transparent manner. Compared to satellite and camera-based approaches, FireWatch is able to detect forest fires more accurately and forecast the forest fire danger more promptly. FireWatch is currently scheduled to be deployed at the Cypriot Department of Forests.
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References
Andreou, P., Zeinalipour-Yiazti, D., Chrysanthis, P.K., Samaras, G.: Towards a Network-aware Middleware for Wireless Sensor Networks. In: 8th International Workshop on Data Management for Sensor Networks (DMSN 2011), The Westin Hotel, Seattle, WA, USA, August 29 (2011)
European Commision Joined Research Center: Forest Fires in Southern Europe. Report No.1 (July 2001)
European Forest Fire Information System – EFFIS, http://effis.jrc.it/Home/
Hochiki Europe, http://www.hochikieurope.com/
NASA MODIS website, http://modis.gsfc.nasa.gov/
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© 2012 Springer-Verlag Berlin Heidelberg
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Andreou, P.G., Constantinou, G., Zeinalipour-Yazti, D., Samaras, G. (2012). FireWatch: G.I.S.-Assisted Wireless Sensor Networks for Forest Fires. In: Ailamaki, A., Bowers, S. (eds) Scientific and Statistical Database Management. SSDBM 2012. Lecture Notes in Computer Science, vol 7338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31235-9_46
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DOI: https://doi.org/10.1007/978-3-642-31235-9_46
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