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Overview of data-driven hazard detection research at WSU's disaster resilience analytics center for enhancing community resilience
Dutta, Atri
Dutta, Atri
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2022-07-06
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Conference paper
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Hazard detection,Artificial intelligence,Sensor networks
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Citation
Dutta, A. (2022). Overview of data-driven hazard detection research at WSU's disaster resilience analytics center for enhancing community resilience Data-driven Resilience Research 2022, Leipzig, Germany.
Abstract
Early detection of hazards as well as the identification of geographical regions affected by a disaster play a substantial role in timely intervention and planning of disaster relief operations. We provide an overview of the current research efforts at Disaster Resilience Analytics Center for technologies that can facilitate early detection of hazard through collection and analysis of data by remote sensors, as well as identification of hazardous situations through analysis of social media data. The availability of these technologies can help reduce the risk of disasters, thereby improving the resilience of communities.
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Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
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CEUR-WS
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CEUR Workshop Proceedings
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1613-0073