Abstract
The primary goal of the proposed architecture is to develop advanced architecture for early detection of forest fires that integrates sensor networks and mobile (drone) technologies for data collection and processing. Unmanned air vehicles (UAVs) will allow coverage of larger areas to raise the percentage of forest fires detections, monitor areas with high fire weather index and such already affected by forest fires. All information is forwarded and stored in cloud computing platform where near real-time processing and alerting is performed.
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Acknowledgements
A major part of the research work is performed in the scope of Horizon 2020 project Advanced Systems for Prevention and Early Detection of Forest Fires (ASPires), funded by European Civil Protection and Humanitarian Aid Operations 2016/PREV/03 (ASPIRES).
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Andreev, I. (2018). Advanced Open IoT Platform for Prevention and Early Detection of Forest Fires. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 747. Springer, Cham. https://doi.org/10.1007/978-3-319-77700-9_32
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