Skip to main content

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: http://www.geo.mtu.edu/~toommen/

Geographic Scope: Michigan

Project Status: Active -recruiting volunteers

Participation Tasks: Classification or tagging, Geolocation,

Start Date: 2013-06-01

Project Contact: toommen@mtu.edu

Federal Government Sponsor:

NSF logo

Other Federal Government Sponsor:

Name of Nonfederal Sponsors: Michigan Technological University

Fields of Science: Disaster response,

Intended Outcomes: Programmatic, Research development,