Predicting floods with Flickr tags

• Published in: PloS one Vol. 12; no. 2; p. e0172870
• Main Authors: Tkachenko, Nataliya, Jarvis, Stephen, Procter, Rob
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 24.02.2017; Public Library of Science (PLoS)
• Subjects: Analysis; Computer and Information Sciences; Cyclonic Storms; Data Collection; Digital media; Disaster Planning; Disasters; Earth Sciences; Earthquakes; Ecology and Environmental Sciences; Environmental aspects; Environmental hazards; Environmental Monitoring - methods; Flood predictions; Flooding; Floods; Geography; Humans; Hurricanes; Hydrologic data; Internet; Management; Metadata; Natural disasters; Nowcasting; Outbreaks; Photography; Physical Sciences; Research and Analysis Methods; Risk Assessment - methods; Sensors; Social Media; Social networks; Social Sciences; Tags; User generated content; United Kingdom > UK; New York; United States > US

Increasingly, user generated content (UGC) in social media postings and their associated metadata such as time and location stamps are being used to provide useful operational information during natural hazard events such as hurricanes, storms and floods. The main advantage of these new sources of d...