Technology

LiDAR and photogrammetry with drones

Two ways of capturing the terrain. One measures with a laser, the other reconstructs from photographs. This page helps you understand when each one suits.

Ask which method fits

Drone with LiDAR sensor on a black sheet in the field

LiDAR

Measuring with laser light

LiDAR (Light Detection and Ranging) is a remote sensing technique. The sensor emits laser pulses and measures the time they take to return, which makes it possible to calculate distances. Combined with the drone’s position, it gives a georeferenced point cloud of the terrain.

Its main advantage is that, where there are gaps in the vegetation, some pulses reach the ground. That makes it possible to model the terrain where a photograph would only see the canopy.

Photogrammetry

Reconstructing from photos

Photogrammetry uses aerial photographs with a lot of overlap. By identifying the same points in several images, the software reconstructs their position in 3D. It produces orthomosaics, 3D models and coloured point clouds.

It works very well on open, textured ground. In dense vegetation, it only reconstructs what it sees from above.

Comparison

What each method offers

Neither is better in every case. The choice depends on the terrain and the deliverable.

LiDARPhotogrammetry
How it capturesLaser pulses that measure the distance to the groundOverlapping photographs reconstructed in 3D
VegetationSome pulses reach the ground between the leaves; this allows the terrain under trees to be modelledOnly sees what is visible from above; the ground under canopies stays hidden
Colour and textureProvides geometry; colour depends on an additional cameraProvides colour and texture natively (orthomosaic)
Uniform surfacesWorks well on surfaces without textureMay fail over water, snow or very smooth surfaces
Best forDTM under vegetation, lines, slopes, complex terrainVisual mapping, orthomosaics, 3D models, open ground
Cost and timeMore demanding equipment and processing; assessed case by caseLighter capture and processing in many cases; assessed case by case
LiDAR point cloud of a valley coloured by elevation
Point cloud coloured by elevation
Orthomosaic of a track surrounded by fields and trees
Orthomosaic

Glossary

Terms you will see in a report

Point cloud
A set of points with X, Y, Z coordinates that describes a surface.
MDT
Digital terrain model: the ground without vegetation or buildings.
MDS
Digital surface model: includes vegetation, buildings and objects.
DEM
Digital elevation model: general term for height models.
Orthomosaic
Aerial image corrected for perspective distortion, in which you can measure.
GSD
Ground Sample Distance: size on the ground of each image pixel.
Contour line
A line joining points of the same height.

Questions

Questions about the technology

What is LiDAR and how does it work?

LiDAR (Light Detection and Ranging) emits laser pulses from the drone and measures the time they take to return. With the drone’s position at each instant, the coordinates of millions of terrain points are calculated.

Does LiDAR go through vegetation?

Pulses reflect at several levels: canopy, branches and, where there are gaps, ground. In dense vegetation fewer points reach the ground, so the quality of the terrain model depends on the density and type of cover.

What accuracy is obtained?

It depends on the sensor, calibration, control points, georeferencing and terrain conditions. It is defined with the client before the flight and documented in the report.

Which is better for my project?

If there are trees or scrub and you need the ground, usually LiDAR. If you need imagery or the ground is open, photogrammetry is usually enough. Sometimes they are combined. We assess it with you.

LiDAR, photogrammetry or both?

Tell us about the site and what you will use the data for.

Ask about the method