New app BluPix allows users to track height and location of flood waters
As Hurricane Laura’s menacing march to the Texas and Louisiana coasts continues, first responders and Gulf Coast residents are touting the benefits of a new app developed by Amir Behzadan, Texas A&M associate professor of construction science, and collaborators that will help provide precise, timely information about flood levels.
The concept of the app, BluPix, is simple: anyone can use the free app to upload a photo of floodwaters that includes a stop sign and pole. The uploaded image, and a photo of the same location taken before the flood, are then pinned to the app’s built-in map using the photos’ metadata.
Because stop signs in the United States are all the same height and width, a computer algorithm can “turn them into low-tech flood sensors,” Behzadan told KHOU-TV in Houston. First responders and citizens can use the app to quickly determine the height of flood waters and use its built-in map to determine flood risk in their area. The app processes the crowdsourced photos with an artificial intelligence algorithm to calculate floodwater depth.
Matthew Marchetti, co-founder of Crowd Source Rescue, one of the nonprofit organizations collaborating with the Texas A&M app development team, said his group will be able to use the app’s pictures in real time to dispatch volunteers the next time flooding hits Houston.
“At the end of the day it helps save more lives, if we can get first responders better and faster information,” Marchetti told KHOU-TV.
Precise information about flooding can be hard to come by, said Marchetti.
“You ask five different people in the same apartment complex, how high did it flood? You will get five different answers,” he said. “Is the floodwater two feet, is it six feet? There’s a big difference between those two numbers, because it’s the difference between a truck and a boat,” said Marchetti.
The crowdsourced photos could also help reduce the time it takes to update floodplain maps, said Behzadan, who is developing the app in a funded research project with Texas A&M faculty colleagues.
