Journal article

Real-time estimation of wildfire perimeters from curated crowdsourcing

Xu Zhong, Matt Duckham, Derek Chong, Kevin Tolhurst

SCIENTIFIC REPORTS | NATURE PUBLISHING GROUP | Published : 2016

Abstract

Real-time information about the spatial extents of evolving natural disasters, such as wildfire or flood perimeters, can assist both emergency responders and the general public during an emergency. However, authoritative information sources can suffer from bottlenecks and delays, while user-generated social media data usually lacks the necessary structure and trustworthiness for reliable automated processing. This paper describes and evaluates an automated technique for real-time tracking of wildfire perimeters based on publicly available "curated" crowdsourced data about telephone calls to the emergency services. Our technique is based on established data mining tools, and can be adjusted u..

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Grants

Awarded by ARC


Funding Acknowledgements

We thank Thomas Duff and Mark Garvey for their contribution of the reconstructed fire perimeter data and wind field data. This work is funded by the ARC Linkage Project (Grant No. LP120200584) "Resilient Information Systems for Emergency Response (RISER)".