2026 Agenda

This presentation explores the evolution of MW Path Field Verification techniques, demonstrating how drone-equipped LiDAR and high-resolution cameras represent the latest advancement in microwave path analysis. Modern field verification methodology encompasses comprehensive workflows from initial path assessment and airspace authorization management (COAs, LAANC, BVLOS approvals) to final deliverables including precise obstruction coordinates and vegetation management recommendations.

The session will trace over 20 years of technological evolution in path analysis, from early line-of-sight flashing methods through today's sophisticated drone-based verification techniques. This progression has fundamentally transformed microwave path planning and troubleshooting, eliminating much of the guesswork inherent in traditional approaches. Real-world case studies will demonstrate how modern field verification identifies critical obstructions missed by conventional methods, showcasing the complete workflow from pre-flight planning through final CAD deliverables with Fresnel zone analysis.

Drawing from two decades of field implementation, the presentation will detail the systematic approach required for successful drone-based path verification. This includes structured protocols for managing regulatory compliance while collecting high-precision LiDAR point clouds and georeferenced imagery. The methodology encompasses standardized procedures for data processing, quality control measures, and transformation of raw field data into actionable intelligence with specific lat/long coordinates of problematic vegetation and structures that breach Fresnel zones.

This methodology addresses the critical need for accurate path verification in an era of increasing spectrum congestion and next-generation network deployments, representing the current state-of-the-art in field verification technology for both reactive troubleshooting and proactive infrastructure planning.

Takeaway

Implement a systematic drone-based path verification workflow that encompasses pre-flight planning, airspace authorization management, and regulatory compliance to replace traditional line-of-sight methods with measurable accuracy improvements.

Apply proven protocols for weather assessment, site access coordination, and equipment selection to ensure successful field data collection while managing operational constraints and safety requirements.

Transform raw LiDAR point clouds into actionable network intelligence using standardized processing methods that identify precise obstruction coordinates and generate CAD-ready Fresnel zone analysis for immediate remediation planning.

Leverage case study insights to avoid common pitfalls and replicate successful path verification outcomes that have identified critical obstructions missed by conventional methods across state and county network operations.