In 2010 and 2012, our team successfully completed a large-scale project aimed at identifying and mitigating the spread of the destructive pine beetle in County of Grande Prairie, M.D of Greenview, M.D of Big Lakes and Wood Buffalo). Utilizing advanced photogrammetry techniques, we conducted aerial surveys, capturing remote data immediately after each flight. This data was processed and sent to government authorities within 10 days, allowing them to take prompt action in controlling the infestation. The entire project, valued at $680,000+$120,000, was completed within a week, demonstrating our capability to deliver rapid and efficient results in time-sensitive environmental projects.
Project Duration: 10 Days – September 2010 and 2012
Project Manager: Sally Wu
Estimated Project Budget: $680,000+$120,000
Approximate Hours: 1000
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Data Outcomes:
By utilizing photogrammetry we were able to rapidly identify and contain the spread of the destructive pine beetles in Grande Prairie, Greenview, Big Lakes and Wood Buffalo. The aerial surveys and photogrammetric analysis allowed for quick detection of Pine Beetle tress, enabling government authorities to take timely and effective action. This helped to prevent the widespread damage to forests, saving time, resources, and reducing the potential long-term ecological and economic impact of the beetle’s spread.
Our strong internal coordination, real-time data sharing, and consistent communication with GOA Alberta Sustainable Resource Development were critical to the project’s success, allowing for quick decision-making and efficient containment of the pine beetle threat.
By leveraging photogrammetry, it allowed for rapid, large-scale data collection of 110 +67 Townships in central Alberta areas within 10 days. This technology allowed for detailed 3D models of infested areas allowing the Forest Management Branch, GOA to quickly identify pine beetle threats, significantly reducing response time. Delivering the flights, photos and processed data to the government within 10 days facilitated immediate action, preventing further spread. The project demonstrated a cost-effective, efficient method for environmental monitoring and set a new standard for crisis management, showcasing the value of technology and private-public collaboration in addressing ecological challenges.