Published December 11, 2017 | Version v1
Conference paper Open

Coupling Early Warning Services, Crowdsourcing, and Modelling for Improved Decision Support and Wildfire Emergency Management

  • 1. EOXPLORE UG
  • 2. Finnish Meteorological Institute
  • 3. METEOSIM S.L.
  • 4. Fondazione Bruno Kessler
  • 5. Terranea UG
  • 6. Answare Tech S.L
  • 7. Istituto Superiore Mario Boella

Description

The threat of a forest fire disaster increases around the globe as the human footprint continues to encroach on natural areas and climate change effects increase the potential of extreme weather. It is essential that the tools to educate, prepare, monitor, react, and fight natural fire disasters are available to emergency managers and responders and reduce the overall disaster effects. In the context of the I-REACT project, such a big crisis data system is being developed and is based on the integration of information from different sources, automated data processing chains and decision support systems. This paper presents the wildfire monitoring for emergency management system for those involved and affected by wildfire disasters developed for European forest fire disasters.

Notes

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Files

16_Bielski_et_al_2017_DSEM.pdf

Files (13.1 MB)

Name Size Download all
md5:0f686f66e39ef4e1cefa7417429a5cdc
13.1 MB Preview Download

Additional details

Funding

I-REACT – Improving Resilience to Emergencies through Advanced Cyber Technologies 700256
European Commission