Building the future by doing more together

foRESTER - Data fusion of sensor networks and fire spread modelling for decision support in forest fire suppression
Coordinator - João Carlos da Palma Goes
CESAM Responsible researcher - Alfredo Rocha
Programme - 2017 SR&TD Projects Forest Fire Prevention and Fighting
Execution dates - 2019-01-01 - 2022-01-31 (37 Months)
Funding Entity - FCT - Fundação para a Ciência e a Tecnologia
Funding for CESAM - 16650 €
Total Funding - 399903 €
Proponent Institution - Instituto de Desenvolvimento de Novas Tecnologias (UNINOVA/FCTUNL/UNL)
Participating Institutions
Universidade de Aveiro
Instituto de Desenvolvimento de Novas Tecnologias (UNINOVA/FCTUNL/UNL)
Direção-Geral doTerritório (DGT)
Instituto de Telecomunicações (IT)
Instituto Superior de Agronomia (ISA/ULisboa)
Instituto Superior de Estatística e Gestão de Informação - NOVA Information Management School (NOVA IMS) (NOVA)

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).


Members on this project

CESAM Funding: