Your Processing Report provides a technical summary of how your data was reconstructed — from raw images through to orthomosaic, 3D model, and elevation outputs.

This guide explains what each section means and when it matters.

This section includes:

📌 What it means:
This confirms which dataset and workspace the report relates to. It’s primarily administrative and useful for record keeping or sharing with stakeholders.

This is one of the most important sections.

It includes:

Total photos uploaded (192 in this report).

Aligned images used in reconstruction (182 here).
If this number is lower than total images, some photos did not align.

Average flight height above ground (55.4 m).
This influences resolution and coverage.

1.45 cm/pixel in this report.

This tells you:

Each pixel represents 1.45 cm on the ground.

Lower = more detail.

These are matched feature points between images.
More tie points generally mean stronger geometry.

This measures how accurately the 3D model fits the image data.

As a guide:

Your example sits in the good range.

This section shows how the camera lens was modelled during processing.

It includes:

All lenses introduce distortion.
The software estimates and corrects this mathematically.

If calibration is unstable, you’ll see:

For most users:

If reprojection error is low and outputs look clean, calibration is working correctly.

This section visualises:

In this report:

This reflects how much the adjusted camera positions differ from their GPS-recorded positions.

Important:
This is camera position error, not map accuracy error.

Without GCPs, camera error often reflects consumer drone GPS limits (~5–15 cm typical variance after adjustment).

This shows the reconstructed terrain model.

Includes:

DEM resolution is usually lower than orthomosaic resolution because it’s derived from the 3D surface.

Higher point density = smoother terrain.

This section documents how the data was processed.

It includes:

This ensures:

For most users, the key items are:

Medium in this report.
Higher accuracy increases processing time but can improve detail.

0.1587 (1.59 pix)
Confirms alignment quality.

Parameters used to separate ground from vegetation.

This matters for:

This section includes:

This is your dense 3D reconstruction before meshing or DEM creation.

More points = more detail.

Classification determines:

Includes:

This is the visual 3D mesh representation of your site.

It’s optimized for:

Includes:

This confirms:
The DEM was generated using ground-classified points only, not vegetation.

That’s important for accurate terrain modelling.

Includes:

Your orthomosaic is:

Hole filling helps remove minor gaps.
Ghosting filter reduces moving-object artefacts.

When reviewing your report, focus on:

If these are strong, your outputs will be strong.

You may want to review capture conditions if you see:

This document:

It turns your dataset from “just drone photos” into defensible geospatial data.