PG&E shares how it is transforming its wildfire mitigation strategy with a scalable, programmatic aerial inspection program. By combining drones, high-resolution imagery, and LiDAR with advanced data management and analytics, PG&E is enhancing the accuracy, speed, and safety of inspecting T&D assets.

The session explores how remote sensing and workflow automation support vegetation management, predictive maintenance, and risk detection. Real-world insights will highlight implementation challenges, key lessons learned, and tangible benefits including cost reduction, improved reliability, and enhanced asset performance.

Session Takeaways: 

• Learn how PG&E uses drones, LiDAR, and imaging to scale aerial inspections and reduce wildfire risk.
• Understand the benefits of programmatic data collection and workflow automation for asset health and vegetation management.
• Gain insight into the tools and processes that enabled PG&E to overcome challenges with deploying a large-scale inspection program.
• Explore how remote inspection data is transformed into actionable analytics for predictive maintenance and improved grid reliability