ASPRS accuracy (Edition 2)
Horizontal and vertical accuracy by the Positional Accuracy Standards, Edition 2, including the checkpoint survey's own error and the 30-checkpoint minimum.
Planning and education aid. Not for primary navigation. Full disclaimer
Experimental: not yet fully verified. How results are checked
Vertical accuracy is 2.24 cm RMSE. The checkpoint count meets the Edition 2 minimum of 30.
- Checkpoint check
Provenance
- Computed by
- drone.photogrammetry.asprs-accuracy 1.0.0, core 0.1.0
- Model
- ASPRS Edition 2: product RMSE = √(RMSE_fit² + RMSE_checkpoint²); RMSE_H = √(RMSE_x² + RMSE_y²) per component
- Accuracy
- Exact to the standard's definitions
- Notes
- 1 shown with the answer
- Cites
- American Society for Photogrammetry and Remote Sensing, ASPRS Positional Accuracy Standards for Digital Geospatial Data, Edition 2
Something look off?
How we got thisFormula, worked example, sources, and proof
Model: ASPRS Edition 2: product RMSE = √(RMSE_fit² + RMSE_checkpoint²); RMSE_H = √(RMSE_x² + RMSE_y²) per component
Accuracy: Exact to the standard's definitions
Worked example: 1.00 cm fit with 2.0 cm checkpoints. Source: add-drone-suite scenario: product accuracy 2.24 cm. It is golden test vector v001, and every build checks the tool still gives its answer within its tolerance.
You enter
- Checkpoint survey RMSE
- 2.0 cm
- Number of checkpoints
- 30
- RMSE z
- 1.00 cm
You get
- Vertical accuracy (RMSE_V)
- 2.24 cm
- Checkpoint check
- The checkpoint count meets the Edition 2 minimum of 30.
Review: Not yet independently reviewed by a Part 107 remote pilot.
Last verified: 2026-09-18, when a maintainer last confirmed this tool's sources at the issuer. See the sources ledger.
Status: version 1.0.0, core 0.1.0. See this tool in the verification report.
Checked against: 6 golden test vectors (download the test vectors, each with its source and tolerance). See how results are checked and every source.
Sources
- ASPRS Positional Accuracy Standards for Digital Geospatial Data, Edition 2, American Society for Photogrammetry and Remote Sensing, Edition 2, Version 2.0. Sections 7.5 to 7.9 (RMSE, checkpoint error, 30-checkpoint minimum). Read free.
Terms
- ASPRS: American Society for Photogrammetry and Remote Sensing
- The society that publishes the Positional Accuracy Standards for Digital Geospatial Data used to state map accuracy. Source: ASPRS Positional Accuracy Standards for Digital Geospatial Data
- RMSE: root-mean-square error
- The square root of the average squared difference between measured and true values. ASPRS accuracy classes are stated with it. Source: ASPRS Positional Accuracy Standards for Digital Geospatial Data
Experimental means this tool has not yet met the stable bar: at least 20 golden vectors, differential tests, and an independent worked example.
ASPRS — American Society for Photogrammetry and Remote Sensing
The society that publishes the Positional Accuracy Standards for Digital Geospatial Data used to state map accuracy.
Source: ASPRS Positional Accuracy Standards for Digital Geospatial Data
Learn the concept: What is ground sample distance (GSD)?