Deploying a network of low-cost, low-power environmental sensors connected via radio to monitor fire and smoke during controlled burns.
Providing real-time and forecasted data to land managers to optimize prescribed burns and minimize smoke exposure.
Working with local communities and government agencies to ensure the system meets their needs.
Strategically placing sensors in the field to capture comprehensive environmental data including smoke, temperature, relative humidity, and wind.
Leveraging low-power radio technology to transmit sensor readings in real-time.
Applying machine learning algorithms to transform raw sensor data into actionable insights to support prescribed fire, community health, and ecosystem management.
Designing specialized environmental sensors tailored to the needs of prescribed fire monitoring.
Developing a modular, expandable network to cover large areas and diverse landscapes.
Creating intuitive data visualization and reporting tools for land managers and policymakers.
Collaborating with multiple departments, local communities, and government agencies.
The team is working at Lab64 to build a modular design of the sensor suite that allows for easy installation and adjustment in various terrain, from dense forests to open grasslands.
The team has conducted field testing and pilot deployments of the sensor network in several Northern California locations, gathering valuable data and feedback from land managers.
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Testing the sensor suites in additional regions for data collection and research.
Integrating sensor data with environmental models for comprehensive analysis.
Strengthening partnerships with land managers, policymakers, and community groups.
Lead Investigator, Environmental Health
Computer Science
Aerospace Engineering
Electrical Engineering
Electrical Engineering
Atmospheric Science
Computer Science
Mechanical Engineering
Computer Science
Electrical Engineering
Mechanical Engineering
Data Science
- Jack Low, Computer Science
- Anh Ho, Electrical Engineering
- Bryan Liu, Computer Science
- Guilherme Simioni Bonfim, Computer Science
- Marcarious Amoah, Mechanical Engineering
- Jack Rokous, Mechanical Engineering
- Adam Young, Computer Science
- Joshua Dong, Computer Science
- Aditi Bashkar, Computer Science
- Rohan Lingam, Electrical Engineering
- Esmee Cowing, Computer Science
- Jack Goler, Atmospheric Science
- Philippe Roberge, Earth System Science
- Hugo Budd, Civil Engineering
- Kirby Fung, Hardware Design
- Benjamin Dourthe, Machine Learning and Artificial Intelligence
- Srikanth Samy, LLM and Chat Interface
- Pete Mahowald, Adjunct Lecturer in Electrical Engineering, Lead Technical Advisor
- John Pauly, Electrical Engineeirng
- Chris Field, Climate Science
- Qiao Kang, Environmental Engineering
- Michael Wara, Climate and Energy Policy Program
- Mike Maastrandrea, Climate and Energy Policy Program
- Deborah Sivas, Environmental & Natural Resources Law & Policy Program
- David Leeson, Electrical Engineering
Join our team of scientists, engineers, and environmental enthusiasts and help build sensors and deploy the sensor network in the field.
Partner with us to integrate the system into your land management or research activities.
Support the project's expansion and ongoing operations through financial contributions.
Pioneering environmental monitoring systems using radio-powered air sensors to monitor prescribed burns in real-time.