Initiating a drone survey program opens the door to a diverse set of data outputs and use cases that naturally fit into your existing workflow.
From a single drone flight, you’ll have all the data you need to use an orthophoto as a visual reference of current progress on site, perform measurements with a 3D model, or export an elevation model or point cloud to use with third-party software
Below, we’ll define each of these deliverables, explain what file types they can be exported in, and how surveying and technology professionals generally use them.
Hyper-realistic 3D models of your site are the culmination of all the data collected during a drone flight. They combine realistic visuals with accurate positional data to provide an immersive tool for inspecting, measuring, and planning earthwork.
3D models are made up of both surfaces (or what your terrain is shaped like) and textures (what your terrain visually looks like). To be more exact, these models are made up of a 3D “mesh” made up of hundreds of thousands of triangular polygons, or “faces”. When combined, these faces form an approximation of your site’s surface. Add on texture files, and you get a 3D model that mirrors what you see in real life.
Every point in a Propeller-generated 3D model is georeferenced, meaning they’re fully measurable. Within the platform, can use your model to perform:
In addition, having an up-to-date 3D model of your site is also useful for those in the office who’d like a visual reference of the state on the ground without needing to visit the site themselves or depend on reports from coworkers.
They can also be used to give clients and other stakeholders and more a thorough walkthrough of your site, entirely remotely, reducing time-exhausting—and potentially hazardous—site visits.
Propeller primarily allows users to export the surfaces of our 3D models in a DXF file, while textures can be downloaded in an orthophoto format (more on that below). DXFs are interoperable with nearly all CAD or GIS software, like AutoCAD, ArcGIS or GlobalMapper.
Depending on resolution needs and processing limitations, DXF files can be downloaded with 100,000, 250,000, or 500,000 faces. The thing to remember is that the more faces, the more realistic the model—and the larger the file size.
Digital elevation models (DEM) are exactly what they sound like. They are visual representations of elevation data for every point captured on your site. They are surfaces, with no texture files.
DEMs are raster datasets, or grids that list the highest vertical point (z) recorded for every horizontal coordinate (x,y). When visualized, these raster files depict the shape of your site’s terrain, which can be used as a reference for the topography you’re working on.
Unlike 3D mesh models, elevation models do not contain color or texture data. Instead of depicting how your site actually appears in person, DEMs can use color to indicate differences in elevation.
Unedited DEMs are also referred to as digital surface models (DSM). They depict elevation data for features, both natural and artificial, that were captured during a drone flight. When things like trees, vehicles, machinery, people, and other objects are filtered out, a digital terrain model (DTM) can be produced.
In addition to being used to create 3D models, DEMs are used for analysis of a host of things, such as water flow for drainage planning, viewshed (or line-of-sight) of a given point, foundational soundness, and more.
In Propeller, you can export both DSMs and DTMs as GeoTIFF files. GeoTIFFs contain both the raster datasets, as well as georeferencing information, such as coordinate systems, map projection parameters, datums, and other data necessary to supply spatial reference for your model.
Think of point clouds as the georeferenced wireframes for 3D survey models. Each point describes a distinct feature on your site and contains the geospatial coordinates, as well as color information, of that feature. When translated to pixels and combined into a “cloud,” these points depict a rough interpolation of your site—although visual inspections are not the purpose of point clouds.
Point clouds make it possible to measure and make observations from a feature’s depth, elevation, geometry, and location in space.
The process of aligning these points into a distinguishable recreation of the area surveyed is called “registration.” Thanks to improved algorithms, cloud processing, and advances in machine learning, the speed and accuracy of point cloud registration has greatly improved over the last few years.
Like with faces and 3D models, the more points in a point cloud, the more crisp and detailed the visualization of the area captured. And the larger the area being surveyed, the more points that need to be captured in order to produce a usable model. Typically, point clouds generated by photogrammetric surveys have points that are about 3cm apart.
You may have previously heard “point clouds” used in reference to LiDAR only. In recent years, photogrammetry has distinguished itself as a far less expensive method of generating a point cloud. And because photogrammetry captures color and texture better than LiDAR, 3D models created from photogrammetric point clouds tend to be more photo-realistic.
Depending on the use case and the third-party software that you use to create models outside the Propeller Platform, you may want to export the raw point cloud rather than the entire 3D model.
Propeller exports point clouds in an .LAZ file format, which are just zipped .LAS files. .LASs can be easily uploaded to other GIS or CAD platforms. Like with 3D models and DEMs, Propeller users have the choice of exporting point cloud data in their site’s coordinate reference system or the universal WGS 84 CRS.
An orthophoto is a two-dimensional, aerial image of the surveyed area that contains horizontal geospatial information. What separates an orthophoto from an unedited drone-captured image is that it’s been corrected for, among other things, perspective, topographic relief, lens distortion, and camera tilt.
This process is also referred to as “ortho-rectification.” It means that every pixel on an orthophoto is depicted as if the camera was exactly perpendicular to the surface when the image was captured.
When “stitched” together, the multiple orthophotos combine to create one composite “orthomosaic” of your site.
Because they’ve been geometrically corrected so that the scale and perspective is uniform throughout the orthomosaic, it can be used the same as a 2D map to measure horizontal distances between points. Orthomosaics are also often overlaid with other layers of data, such as linework or design surfaces.
Orthomosaics, with design or linework overlays included, can also be used to create mobile-optimized maps and sent to members of your field team with the Propeller add-on Crew.
Your survey orthomosaics can be exported in either a full-resolution geoTIFF format, which includes geospatial data and can be easily uploaded to any GIS software; or as a smaller JPEG image, which can be displayed by any image viewer. If users wish to georeference the JPEG, they can also download the included .JGW or .WLD file.
Propeller makes it easy to export all of this data and more, in a form that best fits your workflow. If you’re ready to unlock the potential for actionable data offered by drone surveying, let’s talk.
A Case Study: The Journey From Simple Drone Surveys to Worksite Management (Part One)
How Drone and Point Cloud Data Powers 3D Site Models
How Propeller’s Volume Measurement Tools Work