Drone photogrammetry processing for survey-grade 3D site maps

Drone photogrammetry turns aerial imagery into accurate 3D site maps — but processing it well is the tricky part. Propeller’s cloud-based photogrammetry processing makes it predictable, repeatable, and fast. Whether you’re handling one survey or dozens, our geospatial experts and proven photogrammetry workflow get your worksite models ready to inform confident decisions.

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pointcloud image creating photogrammetry

Easy

Upload your images, ground control points, and GNSS data, then get notified when your map is ready in your desired coordinate system

Scalable

Handle single surveys or multiple projects simultaneously without bottlenecks

Accurate

Expect verifiable, survey-grade results using AeroPoints and Propeller PPK-compatible drones

Insightful

Review detailed QA/QC reports to understand your data and confirm accuracy

How our cloud-based photogrammetry workflow works

Step 1

Drag and drop the data

Images, ground control points, checkpoints, GNSS files

Step 2

Set parameters

Customize terrain filtering and QA/QC settings

Step 3

Georeferencing

Align images and GCPs with your map projections

Step 4

3D model creation

Stitch images into accurate point clouds and surfaces

Step 5

Initial data validation

Verify point cloud quality and detect gaps

Step 6

Orthophoto generation

Produce DTM, TIN surfaces, and high-resolution orthomosaic

Step 7

Final QA/QC

Confirm model accuracy and readiness for decision-making

Step 8

Receive your map

Download 3D worksite model and QA/QC reports

Step 9

Verify results

Review metadata, image quality, and measurement accuracy

Expected accuracy

~3 cm (1/10 ft) when using Propeller PPK-compatible drones + AeroPoints

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men standing by a computer reviewing their data in Propeller

Tap into a team of experts

Our geospatial team is available whether you’re on site, in the office, or remote. Choose from over 5,000 published coordinate reference systems, or upload your own.

“I think the datasets speak for themselves. It’s nothing that you have to bring anyone onboard with. It’s data that’s intrinsically and obviously valuable.”

– Matt Eklund, GPS Program Manager at Sukut

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FAQs

Drone photogrammetry is the process of using overlapping aerial images captured by a drone to create accurate 3D models, orthomosaics, and topographic surfaces of a site. Specialized software stitches the images together and calculates depth, position, and elevation from how features appear across multiple photos — producing survey-grade maps you can measure, share, and use as a permanent site record.

Cloud-based photogrammetry processes your drone imagery on remote servers instead of a local workstation. You upload images, ground control points, and GNSS data; the cloud platform handles georeferencing, point cloud generation, and orthomosaic creation; then your finished 3D map is delivered back ready to use. No specialist hardware, no overnight processing jobs tying up a computer.

A standard photogrammetry workflow includes: (1) flight planning and image capture with a drone, (2) ground control setup with AeroPoints or other GCPs, (3) data upload, (4) image alignment and georeferencing, (5) point cloud and 3D model generation, (6) orthomosaic and surface (DTM/TIN) creation, (7) QA/QC validation, and (8) delivery of finished outputs. Propeller handles steps 3–8 so your team only needs to fly and upload.

In-house photogrammetry processing requires specialist software licenses, GIS expertise, powerful workstations, and several hours of attention per survey. A photogrammetry processing service gives you consistent accuracy, faster turnaround, no software to maintain, and lets your team stay focused on the work happening on site rather than babysitting a processing queue.

PPK (post-processed kinematic) corrections aren’t strictly required for drone photogrammetry, but they significantly improve accuracy and reduce reliance on dense ground control. For repeatable survey-grade outputs on construction or mining sites, Propeller’s PPK workflow (using compatible drones plus AeroPoints) is a common standard — helping teams spend less time setting out points while still delivering trusted a

Photogrammetry uses overlapping 2D images to reconstruct 3D geometry — it’s cost-effective, produces high-resolution orthomosaics, and works well on exposed terrain. LiDAR fires laser pulses to measure distance directly, penetrates vegetation, and is better for forested or densely vegetated sites. Many sites use both together for a complete picture.

PPK (post-processed kinematic) corrections aren’t strictly required for drone photogrammetry, but they significantly improve accuracy and reduce reliance on dense ground control. For survey-grade outputs on construction or mining sites, Propeller’s PPK workflow (using AeroPoints) is a common standard for achieving repeatable survey-grade accuracy with fewer points on the ground.

Propeller supports standard survey inputs and exports used in construction and mining workflows. For capture, Propeller accepts geotagged drone imagery (typically JPEGs) plus ground control files (AeroPoints and/or GCPs as CSV). Outputs include orthomosaics (GeoTIFF), point clouds (LAS/LAZ), and surfaces you can use for measurement, reporting, and design comparisons — with export options that work with common GIS/CAD tools.