Drone mapping can produce a lot more than a collection of aerial photos. Depending on the equipment, software, and project requirements, drone data can be turned into point clouds, orthomosaics, 3D models, and other useful mapping products.
While these terms are sometimes used interchangeably, they represent different types of data and serve different purposes.
Understanding the difference between a point cloud, orthomosaic, and 3D model can help project teams determine which deliverable makes the most sense for their needs.
What Is a Point Cloud?
A point cloud is a collection of individual points that represent the three-dimensional location of objects and surfaces captured during a mapping project.
Each point can contain information such as its X, Y, and Z coordinates, and depending on the data and processing method, it may also include color or other attributes. When thousands or millions of these points are combined, they create a detailed representation of the site.
Point clouds are particularly useful when elevation and three-dimensional information are important. They can help project teams analyze terrain, existing conditions, elevations, slopes, and other site characteristics.
Common Uses for Point Clouds
Point clouds can be useful for:
- Existing conditions documentation
- Topographic analysis
- Elevation and terrain evaluation
- Volume calculations
- Cut-and-fill analysis
- Site planning
- Progress documentation
- Creating digital terrain or surface models
- CAD and engineering workflows
One of the biggest advantages of a point cloud is the amount of three-dimensional information it contains. Instead of viewing the site from a single perspective, users can analyze the captured data spatially.
What Is an Orthomosaic?
An orthomosaic is a single, corrected aerial image created by combining multiple overlapping photographs captured during a drone flight.
Unlike a standard aerial photograph, an orthomosaic has been processed to correct for factors such as camera perspective and terrain differences. The result is a map-like image that can be used to measure and document features across the project area.
This makes orthomosaics particularly useful when visual information is more important than detailed three-dimensional data.
Common Uses for Orthomosaics
Orthomosaics can be used for:
- Construction progress documentation
- Site overviews
- Existing conditions documentation
- Project planning
- Measuring distances and areas
- Identifying site features
- Mapping roads, structures, and other surface features
- Providing visual documentation for project records
Because an orthomosaic looks similar to a traditional aerial photograph, it is often one of the easiest drone mapping deliverables for clients and project stakeholders to understand.
What Is a 3D Model?
A 3D model takes the captured drone data and processes it into a three-dimensional representation of the site or objects within it. Depending on how the data is collected and processed, a 3D model can represent buildings, structures, terrain, stockpiles, equipment, or other features.
Unlike an orthomosaic, which is primarily a two-dimensional map, a 3D model allows users to view the site from different angles and better understand its physical form. A 3D model can be especially useful for visualization, documentation, and communicating existing conditions.
Common Uses for 3D Models
3D models can be useful for:
- Site visualization
- Existing conditions documentation
- Construction planning
- Structure documentation
- Design coordination
- Stakeholder presentations
- Measuring and analyzing three-dimensional features
- Comparing site conditions over time
For example, a contractor could use a 3D model to help visualize a building site, while an engineer or project manager could use the model to better understand existing conditions.
So What’s the Difference?
The easiest way to think about these three deliverables is:
Point cloud = a collection of 3D data points
Orthomosaic = a corrected, map-like aerial image
3D model = a three-dimensional representation of the site or objects
They can all be created from drone mapping data, but they aren’t interchangeable.
A point cloud is focused on three-dimensional measurement and spatial data. An orthomosaic is focused on accurate aerial imagery and visual mapping. A 3D model is focused on three-dimensional visualization and representation.
