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Working in the App
Checkpoints and accuracy verification
Prove your data's accuracy against surveyed points instead of just claiming a number.
A checkpoint is a surveyed point that was not used to build the model. Comparing the model's value at that point to the known value tells you how accurate the result actually is.

How it works
Upload your checkpoint coordinates and DroneFlow reports the residual at each one — the difference between measured and known — horizontally and vertically.
Reading the residuals
- Small, random residuals mean the data is well-controlled.
- A consistent bias (everything off in the same direction) points to a datum mismatch, not scatter — check your vertical datum first.
- Compare vertical checks against the bare-earth model, not the surface, where the shot is on open ground.
Checkpoints verify accuracy; they don't grade or certify a survey. They give you the evidence to stand behind a number — or to catch a problem before a client does.
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