◆ Case Study · Raw-photo reconstruction

547 raw drone photos in.
A full map set out.

No desktop photogrammetry software. We uploaded the raw geotagged frames straight off a DJI RTK aircraft, and DroneFlow.Ai reconstructed the orthomosaic, elevation models, contours, point cloud, and 3D model — start to finish, in 45 minutes.

547
RAW PHOTOS UPLOADED
44.6 min
RECONSTRUCTION TIME
8.13M
POINT-CLOUD POINTS BUILT
6
DELIVERABLE TYPES GENERATED

◆ The orthomosaic DroneFlow built from the raw frames

Orthomosaic of the GFL materials yard reconstructed by DroneFlow.Ai from 547 raw DJI photos

A ~50-acre materials-handling site: highway frontage, twin rail lines, aggregate stockpiles, stacked culvert stock, active equipment, and a retention pond — all stitched from the uploaded photos at 5 cm/pixel. This is the actual output, downsampled only for the web.

What was flown

Aircraft / cameraDJI M4E · 20.9 MP (5280×3956)
Frames547 — 200 nadir + 347 oblique
Flight altitude~51 m AGL
Native GSD~1.3 cm/px
PositioningDJI RTK, geotagged in-EXIF
Ground control / checkpointsNone on this flight

What DroneFlow produced

Orthomosaic11,109×7,396 px · 5 cm/px
DSM & DTM10 cm/px · 44.5 m relief
Contours7,615 lines · 1 ft interval
Point cloud8,132,721 pts · LAS 1.4
3D modelTextured mesh + 10,134 web tiles
Coordinate systemWGS84 / UTM 17N (EPSG:32617)

◆ What we measured — and what we didn't

Every deliverable above was opened and validated by the automated pipeline self-checks before this page was written. We're also plain about the limits of a single RTK flight with no surveyed control — because that honesty is the point of a real case study.

PASSAll 6 deliverable types produced from raw photos — orthomosaic, DSM, DEM, contours, point cloud, and textured 3D model — and each file opened & parsed cleanly.
PASSAll 547 frames georeferenced; the browser 3D tileset built 10,134 payload-sized tiles (median 14 KB), the size range that streams without stalling.
NOTEAbsolute accuracy is anchored by the aircraft's onboard RTK positions (per-photo σ ~8 cm horizontal / ~15 cm vertical), not independently verified — this flight carried no surveyed ground control or checkpoints, so no residuals can be reported. For design or record work, add checkpoints and a licensed review.
NOTEThis map was built at the fast processing preset. The point cloud (8.1 M points, 5 cm ortho) is intentionally lighter than a premium desktop engine would produce from the same frames — a deliberate speed/detail trade, tunable per project.

Accuracy depends on the aircraft, camera, altitude, flight geometry, image overlap and quality, RTK/PPK correction, ground control, checkpoints, terrain, vegetation, coordinate system, and processing configuration. Centimeter-level results may be achievable with appropriate RTK, PPK, surveyed ground control, checkpoints, and qualified validation. DroneFlow.Ai outputs do not constitute a licensed land survey unless reviewed and certified by an appropriately licensed professional.

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