Most scoping calls that start with "should we fly LiDAR or photogrammetry?" are really asking a different question: what does the client need to hold in their hands when the job is done? The sensor is a means to an end. The deliverable, and the conditions on the site, should drive the decision. This guide compares drone LiDAR vs photogrammetry by what each one produces well, where each one struggles, and how to match the method to the job before anyone books a flight.
The short answer
Choose photogrammetry when the client needs a visual record and surface measurements on open ground: orthomosaics, surface models, contours on cleared sites, and stockpile or earthwork volumes. Choose LiDAR when the client needs the ground surface under vegetation, or fine detail on thin structures such as power lines, where photos alone cannot see enough. Many larger projects use both, with photos for the imagery and LiDAR for the terrain.
How each method works
Photogrammetry
Photogrammetry builds measurements from overlapping photos. Software matches the same features across many images, works out where each camera was, and reconstructs the surface those photos see. From that, it produces an orthomosaic (a georeferenced image), a digital surface model of everything visible, and, where the ground is exposed, a terrain model and contours. The hardware is an ordinary mapping-capable camera drone, which keeps the entry cost low for most operators.
The key limit is simple: photogrammetry can only measure what the camera can see. If grass, brush or tree canopy covers the ground, the model follows the top of the vegetation, not the soil.
LiDAR
A LiDAR sensor sends out laser pulses and times their return. Because a single pulse can return from several surfaces, some of the energy can pass through gaps in a canopy and reach the ground below. Processing software then separates ground returns from vegetation and structures to build a bare-earth model. LiDAR also captures thin linear features, such as wires, that photo matching tends to miss.
The trade-off is cost and workflow. LiDAR payloads cost substantially more than a camera, the data needs its own processing and classification steps, and the raw output is a point cloud rather than an image a client can read at a glance. Most LiDAR jobs still carry a camera for the visual layer.
Comparison by deliverable
| Deliverable | Photogrammetry | LiDAR |
|---|---|---|
| Orthomosaic (georeferenced image) | Core strength | Needs a camera alongside the sensor |
| Surface model of what is visible | Strong on open, textured sites | Strong, including thin features |
| Bare-earth terrain under vegetation | Weak; follows the top of cover | Core strength where pulses reach the ground |
| Contours on cleared or graded ground | Strong | Strong |
| Contours through woods or tall brush | Unreliable | Preferred method |
| Stockpile and cut-fill volumes on open sites | Strong and cost-effective | Works, usually more than the job needs |
| Power lines and other thin structures | Often incomplete | Strong |
| Visual context a client can read | Built in | Requires added imagery |
Where site conditions decide it
Open ground and active earthworks
Graded pads, quarries, stockpile yards, farm fields after harvest and most construction sites in progress are photogrammetry territory. The ground is visible, the surfaces have texture for the software to match, and the client usually wants the orthomosaic anyway. On these sites, LiDAR adds cost without adding much the client will use.
Vegetated and wooded terrain
Corridor work through timber, drainage studies in brushy bottoms, and pre-development topography on overgrown parcels are where LiDAR earns its price. If the deliverable is the shape of the ground and the ground is hidden, photos cannot recover it. Leaf-off season helps photogrammetry somewhat, but it does not solve dense evergreen cover or thick understory.
Low-texture and reflective surfaces
Fresh snow, still water, uniform sand and large flat roofs give photo matching very little to work with, which can leave holes or noise in the model. LiDAR handles uniform surfaces better, though water generally absorbs the pulses rather than returning them, so neither method maps under water.
Accuracy: what drives it
Neither method is accurate by default. Results depend on flight planning, overlap or point density, ground control or a corrected GNSS workflow, and how carefully the data is processed and checked. Treat any accuracy claim as something to verify against checkpoints on that specific job. When a project needs certified survey results or a stamped deliverable, that work belongs with a licensed surveyor, whichever sensor collects the data.
Where SkyView fits
SkyView sits on the photogrammetry side of this comparison. It processes drone photos on your own Windows PC, with no per-map cloud fee, and produces the deliverables most open-site jobs call for: RGB orthomosaics, DSM and DTM surface models, contours, and cut-fill volumes. We cover the surface models in more depth in our guide to DSM and DTM processing on the desktop, and contour generation in building contours from a locally processed DSM.
For drainage questions on open ground, a photo-based DTM can also feed water flow analysis in the Survey & Earthworks add-on, which shows Slope, percent; Drainage lines; Ponding; Catchments; Trace flow path from a click; and Outline watershed from a click. It reads the terrain only. It does not model pipes, storm drains, rainfall or soil, and engineering design stays with an engineer. Plan contents are listed on the features page.
Once the maps are done, they go to the client through Pilot Ledger, alongside the quote, job record and invoice for the same project, so delivery and billing stay in one place.
A practical decision checklist
- What is the deliverable? Imagery, surface measurements and volumes point to photogrammetry. Bare-earth terrain under cover points to LiDAR.
- What covers the ground? If the answer is trees or tall brush and the client needs the ground, plan for LiDAR.
- Does the client need to see the site? If yes, a camera is part of the job either way.
- What accuracy is required, and who signs off? Set checkpoints and confirm whether a licensed surveyor must be involved before quoting.
- Does the budget match the method? Do not sell LiDAR where photos will do, and do not promise ground under canopy from photos.
When to bring in a LiDAR operator
If your fleet is camera-based and a job clearly needs bare-earth under vegetation, the professional move is to say so and partner with an operator who flies LiDAR, rather than stretch photogrammetry past what it can deliver. Clients looking for that specialist can start with this guide to hiring a LiDAR drone pilot for construction surveys.
Bottom line
The drone LiDAR vs photogrammetry decision comes down to two questions: what does the client need delivered, and can a camera see the surface that deliverable depends on? For the large share of mapping work on open ground, photogrammetry delivers orthos, surface models, contours and volumes at a fraction of the cost. To process those deliverables on your own hardware and hand them to clients from the same system that runs your quotes and invoices, see Pilot Ledger and SkyView plans.