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 Moreira Caseiro Rocha

Programme

2017 SR&TD Projects Forest Fire Prevention and Fighting

Dates

01/01/2019 - 31/01/2022

Funding for CESAM

16650 €

Total Funding

399903 €

Proponent Institution

Instituto de Desenvolvimento de Novas Tecnologias (UNINOVA/FCTUNL/UNL)

Participating Institutions

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).