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Project: foRESTER - Data fusion of sensor networks and fire spread modelling for decision support in forest fire suppression

Acronym: foRESTER
Main Objective: In the last 20 years, Portugal has been severely affected by large wildfires with dramatic consequences. The last year was the worst
on record, with the largest burnt area extent and the largest number of casualties. It is urgent that the scientific community
provides sound and efficient tools capable of improving decision making during wildfires crisis to minimize its negative
consequences. A key issue is the lack of decision support mechanisms for operational interventions [CTI17]. Due to the complexity
of large wildfires, their effective suppression requires suitable and well coordinated resources, up-to-date knowledge of the
landscape, and accurate prediction of fire behavior. A Decision Support System (DSS) that can integrate the panoply of required
information in a simple and efficient platform is the main scientific challenge of foRESTER. The main goal is to provide fire managers
with useful and sound information to improve fire suppression strategy and decisions. To accomplish this, foRESTER proposes a fast,
reliable and informative DSS based on advanced computational intelligence and visualization techniques, that integrates innovative
technologies from multi-sensor systems, cutting edge satellite image processing, and near real-time (NRT) fire spread predictions
(FSP).
Due to the inherent complexity of the system, we gathered a multidisciplinary team from different areas of expertise:
1) CTS-UNINOVA @ NOVA-FCT -hardware design, satellite image processing and multicriteria decision;
2) IT @ IST -image processing;
3) DGT - cartography and IPSen tinel platform;
4) MagIC @ NOVA-IMS - land cover land use cl assification;
5) CEF @ ISA - fire spread modelling;
6) CESAM @ UA - weather forecast.

The project aims to provide a low-cost framework based on a WSN and new information system tools to produce a pilot
demonstrator of the effectiveness of DSS for supporting decision-making in fire suppression context. It will be built on past
experience from MacFIRE, together with new layers of information, providing a more informative DSS for the fire managers.
Moreover, we will extend the pilot (institutional support letters in appendix) to the Médio-Tejo region and demonstrated it as a
scalable platform for the entire national territory.
Reference: PCIF/SSI/0102/2017
Funding: FCT
Start Date: 01-01-2019
End Date: 31-12-2021
Team: Henrique José Monteiro Oliveira
Groups: Multimedia Signal Processing – Lx
Partners: 1) CTS-UNINOVA @ NOVA-FCT -hardware design, satellite image processing and multicriteria decision; 2) IT @ IST -image processing; 3) DGT - cartography and IPSen tinel platform; 4) MagIC @ NOVA-IMS - land cover land use cl assification; 5) CEF @ ISA - fire spread modelling; 6) CESAM @ UA - weather forecast.
Local Coordinator: Henrique José Monteiro Oliveira
Links: https://www.it.pt/Projects/Index/4642
Associated Publications