March 6, 2017

GEO-SAFEProject Name: GEO-SAFE (Geospatial based Environment for Optimisation Systems Addressing Fire Emergencies)

Funding ID: H2020-MSCA-RISE-2015-691161

Period: 01 May 2016 – 30 April 2020


In EU and Australia, every year thousands of square miles of forests and other lands burn due to wildfires. These fires cause important economic and ecological losses, and often, human casualties. Both EU and Australian governments are aware of how crucial it is to improve wildfires’ management and containment . Scientists from different specialities, both in EU and Australia, have already developed methods and models in order to improve the management and decision process pertaining to preparedness and response phases in case of bush-fire. The present project, named Geo-spatial based Environment for Optimisation Systems Addressing Fire Emergencies (GEO SAFE), aims at creating a network enabling the two regions to exchange knowledge, ideas and experience , thus boosting the progress of wildfires knowledge and the related development of innovative methods for dealing efficiently with such fires.
More precisely, the GEO SAFE project will focus on developing the tools enabling to set up an integrated decision support system optimising the resources during the response phase, through:

  • Developing a dynamic risk cartography of a region with regard to the possibility of a wildfire. The task will involve data collection (satellite and remote sensors), risk analysis and development of a tool enabling to forecast fire extension i, and in particular to predict fire and risk evolution during the response phase
  • Designing and testing a resource allocation tool for the response phase using the dynamic risk cartography. One of the problems to consider will be the resource allocation for securing key places (schools, hospitals, ….) given time dependent constraints. Problems will be identified through connections with final users, and the proposed solutions will be tested on simulated data.
  • Developing analyses of relevant management processes as well as training tools in order to facilitate the implementation of such solution to be completed.

CASLab’s Contribution:
CASLab is responsible for the development of a virtual training environment, simulating fire emergencies related human behaviour in virtual reality. For this task, CASLab works on the development of AI agents simulating the human cognitive capabilities (beliefs, desires and intentions) and affective capabilities (emotions, mood, temperament), and the modelling of these AI agents in a 3D environment using Unity3D.


  • Ecole de Management de Normandie (France)
  • Entente pour la Foret Mediterraneenn (France)
  • Fundacio d’Ecologia del Foc i Gestio d’Incendis Pau Costa Alcubierre (Spain)
  • Universite Paris-Dauphine (France)
  • Royal Melbourne Institute of Technology (Australia)
  • Service Departmental d’Incendie et de Secours de la Haute-Corse (France)
  • Centre National de la Recherche Scientifique (France)
  • Universidad Complutense de Madrid (Spain)
  • Universita degli Studi di Perugia (Italy)
  • Universite Blaise Pascal Clermont-Ferrand II (France)
  • Universite de Technologie de Compiegne (France)
  • Universite de Geneva (Switzerland)
  • University of Greenwich UoG (UK)
  • Universita degli Studi dell’Aquila (Italy)
  • Universiteit Twente (The Netherlands)