Photogrammetry & Orthomosaic Mapping

Reliable measurements and 3D information from overlapping aerial photos, processed into GIS- and CAD-ready deliverables.

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The science

We identify common points across hundreds of overlapping images, then reconstruct the scene in 3D, correct distortion, and blend the result into a seamless orthomosaic.

Core workflow

  1. Image capture
  2. Feature matching across images (tie points)
  3. 3D reconstruction using photogrammetry software
  4. Dense point cloud generation
  5. Correct perspective and terrain distortion
  6. Orthomosaic creation and export

Accuracy notes

GPS/IMU data improves positional accuracy, and RTK/PPK or surveyed ground control points can tighten absolute accuracy. Typical absolute accuracy using RTK or GCPs is often in the centimeter range (horizontal and vertical).

End-user deliverables

Deliverables can be tailored for construction, agriculture, real estate, utilities, and environmental monitoring.

Core deliverables

  • Orthomosaic raster (GeoTIFF / JPG)
  • Digital surface model (DSM)
  • Digital terrain model (DTM)
  • 3D point cloud (LAS / XYZ)

Industry outputs

  • Construction: cut/fill, stockpile volumes, progress tracking
  • Agriculture: vegetation index mapping (NDVI/NDRE when captured with multispectral)
  • Real estate: orthographic site maps and parcel visualization
  • Utilities: asset visualization, measurement, and documentation
  • Environmental: change detection over time

Integration formats

  • GIS: ArcGIS, QGIS
  • CAD: Civil 3D and similar
  • 3D: Blender, SketchUp, Unity

Software ecosystem

Processing workflows can be delivered through common mapping platforms depending on the project and end-user needs.

Pix4Dmapper / Pix4Dfields DroneDeploy Agisoft Metashape DJI Terra ArcGIS Drone2Map / Site Scan

If you tell us the site size, required accuracy, and the deliverables you need, we’ll recommend the right flight pattern, overlap, and processing workflow.

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Image Quantitative Analysis:

  • Single Image Quantitative Analysis.

  • Areas in the plane of the image

  • Historical change analysis (change in slope and configuration over time.

3D Photogrammetric Analysis:

  • Size - Length, width, height.

  • Position

  • Area & Volume

  • Surface shape modeling

  • Relative geometry & clearance among multiple objects.