QA

Accuracy, Error & Tolerances

Clients ask for “cm accuracy.” What they really need is a documented workflow that meets the spec—control, capture, processing, and independent checks. Start by separating blunders, random error, and systematic bias.

Systematic vs random

Systematic errors repeat in a pattern—uncorrected scale, refractive index assumptions, or a bad prism constant. Random noise spreads shots but may average out. Good practice reduces both: calibrate, use redundant observations, and cross-check.

GNSS-specific factors

Sky view, multipath, baseline length, ionospheric activity, and whether you used PPK or RTK all change residuals. Compare rover shots to known control regularly.

Scanning & photogrammetry

For LiDAR and photogrammetry, tie to control and use check surfaces or independent targets. Report in the same units and datum as the contract.