Drone LiDAR surveys in France: choosing, commissioning and checking

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October 2026latest revision of this guide

• Primary sources: Légifrance, EUR-Lex, Géoportail, DGAC.
• Every figure linked to its source, dated in the last chapter.
• Dated updates: you always read the latest version.

Who it is for

• Engineering consultancies, surveyors and project managers commissioning or accepting a drone LiDAR survey in France
• Network and infrastructure owners (power lines, roads, railways, dykes, canals) monitoring a corridor
• Foresters, natural area managers, archaeologists and quarry operators who need the ground beneath vegetation
• Professional drone operators, French or foreign, offering LiDAR in France and needing a specification, an acceptance test and a report that clients accept

In pictures

Illustrative photos, published by their authors under free licences.

Contents of the complete guide

1. What a drone LiDAR actually measures (free extract below)
2. LiDAR, photogrammetry or terrestrial scanning: the decision tree
3. The IGN's LiDAR HD: when public data is enough
4. Mission parameters and how they interact
5. Trajectory, base station and control: the processing that makes accuracy
6. Classification, DTM and derived products
7. Checking accuracy and density: the acceptance test
8. Formats, systems and deliverables: what the order must say
9. Uses by sector: what changes from one survey to another
10. Regulations and laser safety: what changes with a LiDAR payload
11. Common mistakes
12. Five templates to copy
13. Sources and consultation dates

Included: 32 checklist items and 5 decision or reference tables.

Introduction

A drone LiDAR survey rarely fails because of the sensor. It fails because the order did not say what was needed: a density quoted "per square metre" without saying whether it counted every return or only the ground, no base station, check points mixed up with adjustment points, a classification delivered without the list of classes, files in a coordinate system nobody asked for. The provider replies that "it matches the quote", and they are right: the quote fixed nothing.

This guide is written to prevent that. It is for the client who commissions a survey in France (engineering consultancy, surveyor, network owner, forester, local authority) and for the professional operator who flies it, French or foreign. It explains what an airborne LiDAR actually measures and against which methods to choose it, when the open LiDAR HD data of the IGN (the French national mapping agency) is enough, how density, height, speed and overlap interact (with worked examples), what to demand from processing, classification and deliverables, and how to accept the survey. It ends with the most common mistakes and five ready-to-copy templates: specification, deliverables clause, ground control sheet, acceptance checklist and control report.

The guide is up to date as of 31 October 2026. The specifications cited (ASPRS LAS format, IGN LiDAR HD data sheets, laser standard) were checked on that date, and the French legal texts on Légifrance, the official French legal database. French terms are kept where you will meet them in French documents (Lambert-93, NGF-IGN69, géomètre-expert, cerfa). The figures in the examples are calculation assumptions, flagged as such: yours come from the sensor data sheet and the specification.

What a drone LiDAR actually measures

Three instruments, one point

An airborne LiDAR (Light Detection And Ranging) is not an improved camera. It is three instruments that must work together:

• the scanning laser rangefinder: it fires pulses, times each return and derives a distance, in a direction known from the scanning mechanism;
• the GNSS receiver: it gives the antenna position several times per second;
• the inertial measurement unit (IMU): it gives the orientation (roll, pitch, heading) and accelerations of the sensor, at high frequency.

Each point in the cloud is the result of a calculation combining antenna position, sensor orientation at the moment of firing, beam direction, measured range and the mechanical offsets between the three instruments: this is trajectory processing, followed by direct georeferencing. Cloud quality therefore depends as much on the trajectory as on the laser: an excellent scanner on a badly computed trajectory gives a cloud that is right within each strip and wrong from one strip to the next.

Multiple returns: why LiDAR sees the ground under trees

A laser pulse lights a small spot on the ground, the footprint, which grows with range. When it hits a branch, part of the energy returns and the rest carries on towards other branches and the ground: the sensor records several returns for one pulse, the first often at the top of the vegetation, the last often on the ground. That is what allows the terrain to be rebuilt beneath a canopy, as long as there are gaps.

A study by Wallace, Lucieer, Malenovský, Turner and Vopěnka, comparing a LiDAR cloud and a photogrammetric cloud captured by drone over the same open forest, illustrates the difference: both describe the canopy where cover is open, but it is the LiDAR that recovers the terrain beneath the trees (Forests, 2016, doi:10.3390/f7030062).

What LiDAR does better than photogrammetry

• The ground under vegetation (forest, hedges, scrub, riverbanks): under continuous cover, photogrammetry rebuilds the treetops.
• Thin objects (conductors, guy wires, railings): they cannot be rebuilt by image matching, but they return laser echoes.
• Textureless surfaces (fresh asphalt, smooth roofs, sand, snow): the laser measures a distance, with or without detail to match.
• Light: as an active measurement, geometry suffers neither from overcast skies nor from low sun (colour, however, does).

What it does less well

• Visual output: the cloud has no colour of its own; a high-quality orthophoto remains the domain of photogrammetry.
• Detail on open, textured surfaces (façades, stockpiles): dense photogrammetry tied to ground control often does as well, with lighter equipment.
• Water: it returns a topographic laser poorly or not at all; a topographic LiDAR does not measure a riverbed.
• Weight and processing: more payload, more steps to master and document.

Five questions to ask before commissioning

1. What exactly must be measured? Bare ground, the top of vegetation, a conductor, a volume, a distance between two objects? The answer sets the density, the classes and the acceptance test.
2. Is the ground visible from the air over most of the area? If so, photogrammetry may be enough. If not, LiDAR becomes necessary.
3. Is the IGN's open LiDAR HD data enough? For an early study over a large area, often yes; for a condition at a given date, high density or a thin object, no (chapter 3).
4. What accuracy, in which system, proven how? Accuracy without a control method is only a promise.
5. Which files, for which software? Format, version, classes and coordinate system are decided before the flight, not at delivery.

The rest of the guide answers each of these questions, with the tables, calculations and templates needed to turn them into an order.

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Frequently asked questions

What does “Drone LiDAR surveys in France: choosing, commissioning and checking” contain and how much is it?

For €39 VAT included (€32.50 excl. VAT), you get drone LiDAR surveys in France: choosing, commissioning and checking: 12 chapters online, about 28 printable A4 pages and 5 ready-to-copy templates, to choose, commission and accept a drone LiDAR survey in France: understand the principle (laser rangefinder, GNSS, inertial unit, trajectory), decide between LiDAR, photogrammetry, terrestrial scanning and the IGN's open LiDAR HD data, set mission parameters and understand how they interact, demand verifiable processing (base station, PPK, strip adjustment, control points), ASPRS-compliant classification, well-described LAS/LAZ deliverables and a measured accuracy and density acceptance test.

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