Crowdsourced App Gauges Flood Waters
When flood waters rise, more data helps better predict and monitor changing conditions. And soon there will be an app for that.
The National Science Foundation (NSF) awarded a new Smart and Connected Communities $1.5 million grant to a team of computer scientists and hydrologists from Arizona State University, Michigan Tech, Northern Arizona University, University of Arizona and University of Buffalo. The team’s goal is to develop an integrated network that gathers, analyzes and alerts urban communities in danger of flooding.
The system is called the Integrated Flood Stage Observation Network (IFSON) and can take crowdsourced flood data, like smartphone photos, webcams and social media posts, then use image processing to assess flood stage and potential damage. Later versions of the app will use machine learning techniques. With those risks identified, IFSON can communicate flood information to first responders in real time. The platform will be adaptable for different neighborhoods and communities.
Read the full story on mtu.edu/news.