Abstract
The extent and impact of wildfires are expected to increase as a consequence of climate changes, pushing forest and firefighting management decision-making process to be supported by Cyber-Physical-Systems (CPS) that are capable to promote collaborative decision processes. New IoT tools and frameworks fuse scientific knowledge and diversity of sensor data will contribute to improve strategic resources allocation, with the aim of protecting lives, assets, and the environment. The presented IoT CPS which is tunned as a decision support system (DSS) is adapted for the Portuguese wildfire context. It is composed by a geographic information system (GIS) online framework, a mobile client application and a set of portable multi-sensor devices.
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Acknowledgements
This work was financially supported by FCT (National Foundation of Science and Technology) within the Research Unit CTS – Centre of Technology and Systems, UIDB/00066/2020, and the Project foRESTER (PCIF/SSI/0102/2017 - 400k€ total budget, http://www.forester.pt.
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Oliveira, J.P., Lourenço, M., Oliveira, L., Mora, A., Oliveira, H. (2022). A Data Fusion of IoT Sensor Networks for Decision Support in Forest Fire Suppression. In: Camarinha-Matos, L.M., Heijenk, G., Katkoori, S., Strous, L. (eds) Internet of Things. Technology and Applications. IFIPIoT 2021. IFIP Advances in Information and Communication Technology, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-030-96466-5_7
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