Orthomosaic 2D Maps, Drone Mapping

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Photogrammetry

Creating maps and 3D models


Orthomosaic Photogrammetry is the science of creating maps and 3D models from aerial photographs (or more specifically, in this case, drone aerial photographs). The resolution and quality of the output image will depend on the original resolution of each photograph, the distance, attitude and aspect from the subject and the number of photographs taken.

An orthomosaic image, also sometimes known as an orthoimage, orthophoto, or orthophotograph, is a high-resolution aerial image taken by a UAS (drone). When stitched together with specialised software using a process called orthorectification, these images can be used to create a highly detailed, distortion-free map


With a 3D model map, the drone stitches together multiple aerial images to produce a 3D model image that you can move around, zooming in and out to get more detail. Here are some recent examples of both a 3D model and a site map we have filmed for a client - zoom in and take a look!

3D Model

Here is an example of a 3D model of buildings. You can zoom in and move around the buiildings, seeing a new perspective.

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Time-Lapse Location Maps

Maps You Can Measure and Notate

Here is an example of a photogrammetry map, a 2-dimension image where you can add notes,  measure and calculate volumes

Note: These tools may only be available to work on larger desktop and laptop screens

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Wouldn't it be great to see how something changes over time?


  • What if you could get a bird's eye view of a building project as it progresses?
  • See how a landscape or field changes as crops and trees grow?
  • Watch how sunlight or different weather and seasons changes how something looks?


This is now possible using a drone to capture multiple images and stitch them together as a layer, enabling you to reveal successive layers. Take a look at this very simple example of a field. By selecting which layer you want to see with the tool box in the top right corner, you can choose to watch the progression and compare overlaid images. We'll update this soon with a more interesting example, but this shows you how it works!