
DENVER, April 10, 2025 – / Project Canary, an emissions measurement and reporting platform, and Sniffer Robotics, a pioneer in drone-based emissions monitoring, today announced a strategic partnership that will revolutionize methane emissions monitoring and quantification at landfill sites worldwide.
This collaboration integrates Sniffer Robotics’ EPA-approved drone-based surface emissions measurement (SEM) data collection system with Project Canary’s best-in-class emissions quantification models. The partnership creates an unprecedented solution that enhances emissions source detection, localization, and instant quantification to deliver actionable insights for landfill operators seeking to understand and mitigate their environmental impact.
Sniffer Robotics’ innovative SnifferDRONE™ utilizes a patented umbilical systems that can collects methane data within 2-4 inches above the ground across large geographic areas. This data will now be processed through Project Canary’s advanced analytics platform, reducing processing time from days to seconds while delivering more accurate and granular emissions insights. This approach, approved under OTM-51, is a safer, faster, and more reliable alternative to the conventional EPA Method 21 for manual surface emissions measurement. In addition to satisfying compliance requirements, it goes beyond the EPA Method 21 application by covering a broader surface area and providing near-real-time emissions quantification, which enables site-specific data-driven insight into emissions.
The partnership also significantly enhances voluntary emissions management programs for landfill operators. Sniffer Robotics’ technology has already received EPA approval under OTM-51, as an alternative to the the manual Method 21 process.
In the RNG, agriculture, and wastewater treatment industries, emission rates measured across a landfill or biogas facility indicate the potential of a site to capture more gas, improve operational efficiency, and increase revenue – a service referred to by Sniffer Robotics as “Sniffing for Dollars.”
“Our customers will benefit from the integration of two industry-leading technologies,” said David Barron, Chief Technology Officer. “By combining the SnifferDRONE data collection system with Project Canary’s state-of-the-art data transformation and quantification platform, our clients will gain the insights needed to evaluate the impact of methane mitigation on total emissions and enhance gas collection.”
“Accurate measurement of landfill methane emissions represents a significant but addressable challenge,” added Will Foiles, CEO at Project Canary. “By combining Sniffer Robotics’ innovative collection methods with our advanced analytics, we’re creating a solution that enables operators to better understand, report, and ultimately reduce their emissions with unprecedented speed and accuracy.”
The integrated solution is available immediately for landfill operators globally who are seeking to enhance their environmental performance monitoring capabilities for regulatory compliance and voluntary emissions reduction initiatives.
About Project Canary
Project Canary is a climate technology company offering an enterprise emissions data platform that helps energy companies improve and report on their emissions footprint. Project Canary builds high-fidelity sensors, ingests data from various other technologies and sources, and leverages proprietary analytics and models to deliver insights that operators can act on to reduce emissions. Project Canary’s end-to-end emissions data solution enables energy operators to stop leaks faster, reduce risk, streamline reporting, and differentiate their operations for key stakeholders.
About Sniffer Robotics
Sniffer Robotics, a leading technology-enabled environmental services firm, pioneered the SnifferDRONE™ for automating surface emissions monitoring for methane detection in the solid waste (landfill) natural gas, biogas, and related industries. By automating the point source measurement process, Sniffer’s technologies provide the safest, most precise, and most efficient method for detecting and measuring emissions, identifying odor leaks, and generating revenue opportunities through increased gas capture for energy conversion.
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