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Real-Time Crisis Mapping of Natural Disasters Using Social Media

IEEE Intelligent SystemsPublished 31 January 2014
Stuart E. Middleton, Lee Middleton, Stefano Modafferi
Citations425
SJR quartileQ1
SJR score1.33
SNIP2.01

TL;DR

The proposed social media crisis mapping platform for natural disasters uses locations from gazetteer, street map, and volunteered geographic information (VGI) sources for areas at risk of disaster and matches them to geoparsed real-time tweet data streams to generate real- time crisis maps.

Abstract

The proposed social media crisis mapping platform for natural disasters uses locations from gazetteer, street map, and volunteered geographic information (VGI) sources for areas at risk of disaster and matches them to geoparsed real-time tweet data streams. The authors use statistical analysis to generate real-time crisis maps. Geoparsing results are benchmarked against existing published work and evaluated across multilingual datasets. Two case studies compare five-day tweet crisis maps to official post-event impact assessment from the US National Geospatial Agency (NGA), compiled from verified satellite and aerial imagery sources.

Keywords

Social Sciences