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Project Canary, a Denver-based emissions measurement and reporting platform, has partnered with Sniffer Robotics Inc., a drone-based emissions monitoring company, to develop methane emissions monitoring and quantification tools at landfill sites.
This collaboration integrates Ann Arbor, Michigan-based Sniffer Robotics’ drone-based surface emissions measurement (SEM) data collection system with Project Canary’s emissions quantification models.
According to Project Canary, this partnership will enhance emissions source detection, localization and instant quantification to deliver actionable insights for landfill operators seeking to understand and mitigate their environmental impact.
“Our customers will benefit from the integration of two industry-leading technologies,” says David Barron, chief technology officer at Sniffer Robotics. “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.”
Sniffer Robotics’ SnifferDRONE uses an umbilical system to collect methane data within 2-4 inches above the ground across large geographic areas. This data will now be processed through Project Canary’s analytics platform, which the company says will reduce processing time while delivering granular emissions insights.
Project Canary says the partnership also enhances voluntary emissions management programs for landfill operators. Sniffer Robotics’ technology has already received Environmental Protection Agency (EPA) approval under Other Test Method- (OTM-) 51 as an alternative to the manual Method 21 process.
“Accurate measurement of landfill methane emissions represents a significant but addressable challenge,” Project Canary CEO Will Foiles says. “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.”
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