Big data on floods

Rapid flood mapping by enhancing near real-time satellite imagery with real-time gauge and Tweeter data

USC ASPIRE-I Track IV Program (Office of the Vice President for Research)
PI: Cuizhen (Susan) Wang

Summary: Floods from high-category hurricanes, such as the 2015 Joaquin across SC and the 2017 Harvey in Houston, TX, are occurring more frequently and severely than ever. Rapid flood mapping is vital for local and federal authorities in preparedness and timely response of the disaster. This research aims to integrate field sensing (gauge data), social sensing (tweets) and remote sensing (satellite imagery) techniques to assist a spatially enhanced, rapid flood mapping in a near real-time phase. The expected framework of flood reconstruction model could seed a wide range of flood-related flood research activities.



(Source: Huang et al. 2018)


Huang, X., Wang, C., & Li, Z. 2018. Reconstructing Flood Inundation Probability by Enhancing Near Real-Time Imagery with Real-Time Gauges and TweetsIEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2018.2835306.