Accuracy, QA/QC, and the Science Behind LiDAR-Based Tree Measurements

As more cities explore mobile LiDAR for tree inventories, one question determines whether projects succeed or stall: Can we trust the data? Accuracy, defensibility, and clear QA/QC standards are essential when LiDAR‑derived data start influencing risk, budgets, and public expectations.

Watch this technical but practical look at how LiDAR‑based tree measurements are created, tested, and used within a hybrid model like PlanIT Geo’s TreeD Inventory, powered by Jakarto.

By the end of this webinar, you will be able to:

• Explain how LiDAR‑based workflows generate core tree metrics (DBH, height, canopy, structure) in urban settings.
• Recognize common sources of error and bias in LiDAR‑derived tree data, and how they affect management decisions.
• Outline practical QA/QC frameworks for LiDAR‑enabled inventories, including sampling strategies, tolerance thresholds, and acceptance criteria.
• Distinguish when remote data are likely sufficient and when field validation is required to support defensible decisions and contracts.

This webinar is a good fit for:

• Municipal and utility arborists responsible for risk, compliance, or service levels.
• Urban forestry managers who must defend inventory data to leadership or the public.
• GIS and technical leads supporting LiDAR projects or vendors.
• Procurement and contract managers writing or evaluating LiDAR‑enabled RFPs and SLAs.

Fill out the form to access the webinar now