Scanning produces a point cloud, which we classify according to the intended use: terrain, vegetation by levels, buildings, water surfaces and other classes. A classified point cloud is the basis for a digital terrain model (DTM) and a digital surface model (DSM), contours, profiles and hydrological analyses.
We scan with our own airborne RIEGL scanner; the density of the cloud reaches tens of points per square metre and the vertical accuracy a few centimetres. We design the flight parameters – density, season, combination with aerial photography – according to the purpose: the design of a linear structure needs different data than a forest inventory.
We routinely combine LiDAR with aerial photography in a single campaign – the point cloud is then complemented by an orthophoto, and the colour information makes interpretation and classification easier.

