Photogrammetry
Photogrammetry is the science of obtaining precise 3D measurements from 2D photographs. By taking many overlapping images of a subject from different angles, software triangulates common features across the photos and reconstructs the geometry as a 3D point cloud, mesh, or orthorectified map.
Definition
Photogrammetry (from "photo" + "gram" + "metry" — measurement from light recordings) combines optics, projective geometry, and computer vision. The technique pre-dates drones by more than a century — early surveyors used balloon and kite imagery in the 1800s — but commercial drones turned it into a routine tool for everyday measurement.
How drone photogrammetry works
A typical UAV Imaging photogrammetry capture follows five steps:
- Flight plan: Software like DJI Pilot 2 or Pix4Dcapture lays out a grid over the area. Forward overlap is set to 80% and side overlap to 70% so every point appears in five or more photos.
- Ground control: Surveyed ground control points (GCPs) or RTK / PPK GNSS data anchors the model to real-world coordinates.
- Capture: Drone flies the plan autonomously, triggering the shutter at preset intervals. A 50-hectare aggregate yard captures in 30 to 60 minutes.
- Processing: Photogrammetry software (Pix4D, Agisoft Metashape, DroneDeploy) runs Structure-from-Motion to estimate camera positions, then dense matching to build a point cloud, then orthomosaic and DSM generation.
- Deliverables: Orthomosaic, digital surface model (DSM), 3D point cloud, contour plot, volumes report — packaged in formats clients can open in ArcGIS, AutoCAD, or PDF.
Accuracy
Modern drone photogrammetry routinely delivers:
- Horizontal accuracy: 2 to 5 cm with RTK / PPK, 30 to 100 cm without
- Vertical accuracy: 3 to 8 cm with RTK / PPK plus GCPs
- Volume accuracy on stockpiles: within 1 to 2 percent of ground truth
Accuracy depends on ground sample distance (GSD), overlap, camera quality, lighting, and ground control. UAV Imaging's standard mapping spec targets GSD of 2 cm per pixel.
Photogrammetry vs LiDAR
Both build 3D models. Photogrammetry captures colour and texture from photographs, while LiDAR captures raw range from laser pulses. Photogrammetry wins on cost, colour, and texture richness. LiDAR wins on vegetation penetration and capture in low light. See the glossary or upcoming LiDAR entry for the full breakdown.
Common applications
- Stockpile volume measurement
- Pit plans and mining surface mapping
- Construction progress and earthwork volumes
- As-built documentation for civil and survey teams
- Heritage and archaeological site recording
Software used by UAV Imaging
- Pix4Dmapper / Pix4Dmatic: primary processing engine for mapping + volume work
- DroneDeploy: field-ready quick orthomosaics + progress reports
- Agisoft Metashape: high-density point clouds for engineering deliverables

