Tree inventory along the railway
For Deutsche Bahn, we used drone-collected LiDAR to identify and deliver 9,863 individual trees across 32,877 hectares along its railway network, giving maintenance teams exact, shapefile-ready data to plan around.
Deutsche Bahn needed a clear picture of the trees growing along its railway network, tree by tree, not just a general sense of vegetation cover. We used LiDAR data collected by drone and handed over by the client, then ran it through our platform to extract every individual tree from the raw point cloud.
The result: 9,863 trees identified and delivered, each with its own exact crown shape, across 32,877 hectares scanned. All of it in shapefile format, ready to plug straight into Deutsche Bahn’s own systems.
That level of detail matters for a railway. It means maintenance teams can plan pruning and removals around real tree data, spot risk near the tracks before it becomes a problem, and keep an eye on how the canopy along the line changes over time.
Aerial and ground-level views of the trees identified along the railway in Berlin
Top view of the analyzed section of the railtrack in Berlin
