Tag Archive
7 articles on drone survey accuracy. Field-tested methodology from a GIS scientist with M.S. GIS, FAA Part 107, and 10+ years of geospatial work.
Peer-reviewed studies show SfM photogrammetry landing within a few centimeters of UAV LiDAR vertical accuracy on bare earth, with roughly a fifth of the hardware capex. The studies, the numbers, and where the claim breaks down.
Your drone map is a meter low everywhere except around the GCPs. Here is the diagnostic decision tree for vertical bias — and the fixes that actually work.
WGS84 vs NAD83, state plane, vertical datums — the CRS settings drone operators get wrong, and how to fix them in Metashape, Pix4D, and ODM.
Four positioning tiers for drone surveys: GPS, RTK/PPK, GCPs, and full RTK+GCPs+checkpoints. Match accuracy to the job — not every project needs the top tier.
Drone survey accuracy in 2026: ±2–5 cm horizontal, ±3–12 cm vertical. RMSE vs CE90 (horizontal) vs LE90 (vertical) explained, ASPRS classes, 5 report red flags.
RTK vs PPK for drone mapping: same hardware, different timing. Sourced accuracy figures, baseline limits, costs, and a table for when to use each.
How many ground control points does a drone survey need? 5 GCPs for under 5 acres, 8–12 for 50–500. Distribution beats density — and always include independent checkpoints.
Free download: The Complete Drone Mapping Workflow Guide — 30+ pages of field-tested methodology.
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