Orthomosaic Deliverable Checklist
Checks drone orthomosaic deliverables for GCPs, overlap, GSD, GeoTIFF, DSM/DTM and accuracy.
Acceptance criteria
Checkpoints
CP = independent checkpoint; GCP = used in the fit (listed but excluded from accuracy). Residual = measured − reference.
GeoTIFF header check (optional)
Reads only the TIFF header tags (size, pixel scale, tiepoint, CRS keys) from your file, in this browser. Classic TIFF only — BigTIFF is not read. It reports what the file declares; it does not verify accuracy.
Handover
Accuracy (independent checkpoints)
Unverified — no independent checkpoints entered.
RMSE_H = √(mean(ΔE² + ΔN²)). No 95% multiplier is applied. Overlap and GSD support processing but do not prove accuracy.
Not ready for handover
0 of 12 applicable items assessed (0% complete). Completeness is not readiness.
Blockers
- No independent checkpoints: accuracy is unverified (not zero).
Critical items not passed
- GCPs surveyed and their CRS recorded
- Independent checkpoints kept out of the fit
- CRS and height system stated in the files
- Orthomosaic GeoTIFF delivered and opens
- QA report delivered and opens
Still to assess (12)
- Image overlap meets the project plan
- GCPs surveyed and their CRS recorded
- Independent checkpoints kept out of the fit
- GSD / flying height consistent with the requirement
- Camera calibration / alignment report reviewed
- No holes or blur in the mosaic (evidence noted)
- Seamlines and colour balance checked
- Surface correctly described as DSM or DTM
- CRS and height system stated in the files
- Resolution / GSD stated
- Orthomosaic GeoTIFF delivered and opens
- QA report delivered and opens
Records stay on your device as files you choose to save. The page keeps nothing.
No raster is processed here; evidence is what you enter.
How the method works
Fixed example values for illustration — not your result.
How to use this calculator
- Enter the acceptance criteria — CRS, height system, GSD, horizontal and vertical RMSE — and tick the deliverables the job requires.
- Paste checkpoints as CSV (ID, CP or GCP, measured E N Z, reference E N Z) and mark each QA item with its evidence.
- Read the accuracy summary and the handover decision, then download the QA ZIP.
- The residual plot shows each checkpoint's horizontal error with the RMSE ring (GCPs hollow and excluded). Optionally pick the orthomosaic GeoTIFF to read its header — size, pixel scale and declared EPSG code — without uploading or decoding the image.
How it works
Accuracy uses independent checkpoints only: GCPs used in the fit are listed but excluded. RMSE_H = √(mean(ΔE² + ΔN²)), with RMSE_E, RMSE_N, RMSE_Z, mean bias and the largest residual reported. No 95% multiplier is applied.
With no independent checkpoints the accuracy is unverified — never a zero RMSE. A required deliverable that is not delivered, or an RMSE over the criterion, blocks handover even when every item is assessed.
Overlap and GSD support processing but do not prove accuracy, and the surface should be called a DSM or DTM honestly. No raster is processed in the page.
Worked example
Two checkpoints. Residuals (3, 4) and (0, 0) m give RMSE_H = √12.5 = 3.536 m and a 5 m maximum. If those points were GCPs, there would be no independent accuracy result at all.
Frequently asked questions
Why keep check points separate from GCPs?
GCPs are used to georeference the model; independent check points are held back to measure the true accuracy of the result. Using all points as GCPs leaves nothing to verify it.
Is this official course material?
No. It is free study support mapped to surveying course levels — not official North Metropolitan TAFE content or advice. Always follow your lecturer and the official assessment brief, and check your own working.
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Cite this tool
Zerdly. (2026). Orthomosaic Deliverable Checklist. Retrieved from https://www.zerdly.com/tools/orthomosaic-deliverable-checklist/
Tip: Enter any known values to calculate the remaining results.
Designed to run locally in your browser. Tool inputs are not intentionally stored by Zerdly unless stated otherwise.



