[Webinar] GSD and Overlap: How do they Affect Using AI for Drone Inspections?

In this webinar, Hammer Missions explores how GSD (Ground Sampling Distance) and overlap impact the quality of drone data—and ultimately the performance of AI in building inspections. Using real project examples, we break down capture strategies for roofs, façades, and full 3D models, and explain how to balance resolution, coverage, and efficiency depending on your inspection goals. If you’re using drones for inspections or AI analysis, this session will help you capture better data—and get better results 👉 Subscribe to Hammer Missions for more deep-dive videos on drone data, photogrammetry, AI, CAD, and BIM workflows. -------------------------------------------------------------------------- Chapters: 00:00 Intro 03:07 Webinar agenda 04:54 Why data quality matters 06:02 Capture strategies overview 06:43 Roof inspections (grid, overlap, angles) 10:59 AI use case: skylight detection 12:42 GSD explained (resolution basics) 17:10 Façade inspections & defect detection 24:00 High vs low resolution (GSD in practice) 29:23 Full 3D building capture & trade-offs 39:46 Overlap, camera settings & final tips 47:00 Q&A -------------------------------------------------------------------------- About Us: Hammer Missions is an AI software platform for drone professionals and Enterprise UAS programmes to collect & process high-quality 3D drone data for aerial surveys & inspections and AI inspection reports. To learn more, visit: 👉 👉 👉 https://www.hammermissions.com -------------------------------------------------------------------------- Follow Us: LinkedIn:   / hammer-missions   🔗 Links    • Gaussian Splatting vs Photogrammetry      • Best Flight Plans for Drone 3D Models      • What is Vertical Overlap in Drone Inspecti...