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A Crowdsourced Knowledge Base for the Damage Assessment of Extreme Events

This research will focus on a new framework called BACKBOnE (Building A Crowdsourced Knowledge Base of Extreme Events) for extreme event damage assessment utilizing remotely sensed images that automatically finds and classifies damages, and builds a data-driven knowledge base of damage characteristics that can be reused during future events. BACKBOnE is a transformation of the manual crowdsourced approach for damage assessment and is unprecedented in the disasters community, combining the power of crowdsourcing with state-of-the-art methods from computer science and image processing.

Project URL:

Geographic Scope: Michigan

Project Status: Active - recruiting volunteers

Participation Tasks: Classification or tagging, Geolocation,

Start Date: 2013-06-01

Project Contact:

Federal Government Sponsor:

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Other Federal Government Sponsor:

Fields of Science: Disaster response

Intended Outcomes: Programmatic, Research development,