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TrailScan QGIS 4 compatibility
QGIS 4 ready Active
Yes — TrailScan supports QGIS 4 (declared max version 4.99.0).
Deep learning-based segmentation of skid trails from airborne LiDAR data
About
Note: On first installation TrailScan downloads additional Python packages (rasterio, laspy, scipy and others). This can take several minutes, during which QGIS may become unresponsive - please save your work before installing and wait until the installation has finished. TrailScan is a QGIS plugin for automatic mapping of skid trails from Airborne Laser Scanning (ALS) data in forest environments. Input: ALS point clouds (.las / .laz) from aircraft, helicopters, or UAVs. Workflow: 1. Preprocessing – Convert the point cloud into a normalized multi-band raster (DTM, CHM, MRM, VDI). 2. Inference – Apply the pretrained TrailScan deep learning model to generate a probability map ("Trailmap"). The trained TrailScan model is available at https://doi.org/10.25625/GEIP6T. Output: A georeferenced raster ("Trailmap" with values 0–1) indicating the likelihood of skid trail presence, ready for further GIS analysis.
| Author | HAWK Forest Monitoring Lab (Tanja Kempen, Mathias Gröbe, Maximilian Freudenberg, Paul Magdon) |
|---|---|
| Downloads | 2,206 |
| Latest version | 0.2.0 |
| Last updated | 2026-05-26 (143 days ago) |
| Min QGIS | 3.38.0 |
| Max QGIS | 4.99.0 |
| QGIS 4 ready | Yes |
| Maintenance | Active |
| Categories | LiDAR & point cloud, AI & machine learning |
| Tags | point cloud, lidar, skid trails, forestry, deep learning, als |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.