Sensor developers Jason Gu and Bryan Tomko of SenSevere and SENSIT Technologies along with R. Subramanian of Carnegie Mellon University, received the first place award for the EPA Wildland Fire Sensors Challenge. EPA and partners presented awards to the winners at the Air Sensors International Conference on Sept. 12, 2018, in Oakland, California.
About the Challenge:
In 2017, EPA and five other federal agencies issued a Wildland Fire Sensors Challenge to improve smoke monitoring and provide data to protect public health. EPA’s federal partners are the U.S. Forest Service, NASA, National Oceanic and Atmospheric Administration (NOAA), Centers for Disease Control and Prevention (CDC), and National Park Service (NPS).
The winners of the Challenge used emerging technologies including miniaturized direct-reading sensors, compact microprocessors, and wireless data communications to develop prototypes for measuring smoke from wildland fires.
The air sensor prototypes submitted underwent rigorous two-phase laboratory testing by EPA and the US Forest Service (USFS), a federal partner, for accuracy over a wide range of operation requirements relevant for wildland fire deployment.
More information on the Wildland Fire Sensors Challenge is available at: