If you have gotten quotes for drone mapping, you have hit this fork: one provider pitches LiDAR, another pitches photogrammetry, the prices differ by thousands of dollars, and both swear theirs is “survey-grade.” We fly both. Here is the honest comparison — including where each one genuinely loses.
How each one actually works
LiDAR is an active sensor. It fires its own laser pulses — hundreds of thousands per second — and measures the return time of each to compute distance directly. Paired with precision GNSS and an inertial measurement unit, every pulse becomes a measured 3D point. Geometry is measured, not inferred. (The full mechanics are in our explainer on how aerial LiDAR works.)
Photogrammetry is a passive method. A drone captures hundreds of overlapping photos, and software identifies the same visual features across many images, triangulating each into 3D. Geometry is reconstructed from what the camera can see. Done well, the result is a dense, photo-realistic model with a beautiful orthomosaic on top.
That one distinction — measured versus reconstructed, active versus passive — drives nearly every practical difference below.
Head-to-head
| Drone LiDAR | Photogrammetry | |
|---|---|---|
| How geometry is captured | Direct laser measurement | Reconstructed from overlapping photos |
| Ground under vegetation | Yes — via canopy gaps and multiple returns | No — models the canopy top |
| Bare, textureless surfaces (fresh grading, sand, snow) | Handles them | Struggles — photo matching needs texture |
| Visual output | Points only (no imagery) | Photo-realistic orthomosaic and mesh |
| Light conditions | Works in flat light, even dusk | Needs good, even daylight |
| Thin features (wires, poles, lattice) | Captures them | Frequently misses them |
| Relative cost | Higher | Lower |
| Typical best use | Terrain, vegetated sites, corridors, engineering design | Open sites, visual documentation, stockpiles |
The differences that decide projects
Vegetation is the deal-breaker. Photogrammetry can only model surfaces the camera sees, so on a wooded site it maps the treetops. LiDAR’s pulses find gaps in the canopy and record multiple returns per pulse, so the last returns reach genuine ground. If your site has meaningful tree cover and you need bare earth, this is not a trade-off — photogrammetry simply cannot do the job. It is the main reason our topographic mapping work defaults to LiDAR.
Accuracy — closer than the marketing suggests, with a catch. On open, hard, textured ground, well-executed photogrammetry with good ground control can rival LiDAR for many purposes. The catch is consistency: photogrammetric surfaces degrade on uniform textures, in vegetation, and at feature edges, while LiDAR accuracy holds steady because each point is independently measured. LiDAR’s error budget is also more predictable, which matters when someone must sign off on the numbers.
Visual detail runs the other way. A LiDAR point cloud, however dense, contains no imagery. Photogrammetry produces a crisp orthomosaic — invaluable for site documentation, planimetrics, progress records, and showing a non-technical stakeholder what the site actually looks like. This is why our construction progress tracking flights often pair repeat imagery with periodic LiDAR: photos tell the story, lasers verify the grades.
Cost tracks the hardware. A precision LiDAR payload — scanner, GNSS, IMU — costs many multiples of a mapping camera, and that difference flows straight into pricing. For the actual numbers, see our drone LiDAR cost guide; the short version is that photogrammetry is usually the cheaper flight, and worth choosing when it genuinely meets the requirement.
What you actually receive from each
The deliverable lists overlap less than the sales decks imply, and the differences matter at the desk where someone opens the files.
A LiDAR flight delivers a classified point cloud (LAS/LAZ) as its master product, with bare-earth DEMs, CAD contours, and shapefiles derived from it. Because every point carries return and classification information, the cloud can be re-queried later — vegetation stripped, buildings isolated, new contour intervals cut — without another flight.
A photogrammetry flight delivers an orthomosaic (the georeferenced photo map), a textured 3D mesh, and a photo-derived point cloud or surface model. The imagery is the star: measurable, current, and legible to anyone. But the photo-derived surface is a reconstruction of visible surfaces — on vegetated ground it is a canopy model wearing a terrain model’s file format, and no amount of processing recovers ground the camera never saw.
The practical consequence: if you anticipate future questions the current scope doesn’t cover — a drainage redesign, a dispute over quantities, a permitting request for different contours — LiDAR’s cloud is the dataset that keeps answering. If the future questions are visual — what did the site look like in March? — the imagery archive is the one you will be glad you have.
Three common scenarios
A wooded development parcel headed for grading design. LiDAR, without hesitation. The design team needs bare earth, the trees make photogrammetry structurally unable to provide it, and the accuracy must be defensible. Add an orthomosaic only if the team wants current visual context.
An active construction site tracked monthly. Photogrammetry as the recurring flight — the orthos and meshes communicate progress brilliantly and price well at frequency — with LiDAR flown at the milestones where grades and quantities get verified against contract documents.
A stockpile yard measured quarterly for inventory. Photogrammetry, if the piles are clean and bare: volumes on open piles are its home turf and the economics favor it at repetition. Move to LiDAR when piles sprout vegetation, when material is dark and featureless, or when the numbers feed financial reporting that warrants the tighter, independently measured surface.
The plain rule of thumb
Choose LiDAR when:
- The site has tree cover, brush, or crops and you need bare earth
- The data feeds engineering design, drainage, or earthwork calculations
- Surfaces are uniform or low-texture (fresh grading, sand, dark material)
- You are mapping corridors with wires, poles, or structures
- Accuracy must be defensible and verified against checkpoints
Choose photogrammetry when:
- The site is open with little vegetation
- The primary need is visual: orthomosaics, documentation, marketing, condition records
- You are measuring clean stockpile volumes
- Budget is the binding constraint and the accuracy requirement is moderate
Choose both when one mobilization can serve two masters: the LiDAR surface for design, the imagery for context. It is a modest add-on to either flight and frequently the highest-value option on development projects.
And whichever way you lean, hold the decision against the end use rather than the technology’s reputation. The most expensive dataset is the one that has to be recaptured because the first method could not answer the question the project actually asked.
An honest closing word
Providers who own one tool tend to prescribe it for everything. The right question is never “which technology is better” — it is “what does this site’s vegetation, surface, accuracy requirement, and budget actually demand?” Send us a boundary and that requirement, and we will tell you plainly which method fits, including when the cheaper one is the right answer. That is the recommendation you would want from drone LiDAR scanning specialists who fly both.