Kabelik GmbH is offering additionally to the acquisition and data processing of airborne remote sensing data also the data analysis services. Below are some examples.

LIDAR classification

The classification of lidar point cloud returns in accordance with a classification scheme to identify the type of target from which each lidar return is reflected. The process allows future differentiation between bare-earth terrain points, water, noise, vegetation, buildings, other man-made features and objects of interest.
At classification of a pointcloud, every data point is classified into a class. There are several classes for instance ground, vegetation, building, rail, etc. (see ASPRS las specification). In the image below you can see orange is ground, vegetation is green, buildings are red and not classified is white.

Terrascan pointcloud classification.


The digital surface model (DSM) is a collection of three dimensional points to represent or derive a surface of all applicable terrain and features including: buildings, bridges, roads, vegetation and hydrology.

DSM of Lanzenkirchen, Austria.


The digital terrain model (DTM) is a collection of three dimensional points in a grid or random arrangement to represent or derive a Bare Earth surface.

DTM of Lanzenkirchen, Austria.

3D Vectorisation & Polygons

LIDAR and orthophoto data is used to extract three dimensional vector information in a predefined data structure. Thereafter this vector information is used to build polygons.

3D Vectorisation of point and line features of Lanzenkirchen, Austria.

3D polygons created from the 3D vectorisation line and point features.

Building vectorisation

Building Vectorisation
Extraction of building geometry from classified point cloud.

Change detection


Danger Objects


Contour lines

A line map demarking lines of constant elevation across a terrain surface.  It is often included in a topographical map.

Contour lines 1m, 5m, 10m of Lanzenkirchen, Austria.

Volume + Mass calculation