{"name": "TrailScan", "package_name": "TrailScan", "description": "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 \u2013 Convert the point cloud into a normalized multi-band raster (DTM, CHM, MRM, VDI). 2. Inference \u2013 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\u20131) indicating the likelihood of skid trail presence, ready for further GIS analysis.", "homepage": "https://github.com/GISLAB-HAWK/TrailScan-QGIS-Plugin", "repository": "https://github.com/GISLAB-HAWK/TrailScan-QGIS-Plugin", "tracker": "https://github.com/GISLAB-HAWK/TrailScan-QGIS-Plugin/issues", "author": "HAWK Forest Monitoring Lab (Tanja Kempen, Mathias Gr\u00f6be, Maximilian Freudenberg, Paul Magdon)", "tags": ["lidar", "point cloud", "forestry", "als", "deep learning", "skid trails"], "downloads": 1476, "latest_version": "0.2.0", "versions": [{"version": "0.2.0", "experimental": false, "qgis_min": "3.38.0", "qgis_max": "4.99.0", "downloads": 283, "uploaded_by": "hawkgislab", "upload_datetime": "2026-05-26T04:02:59.680731"}, {"version": "0.1.2", "experimental": false, "qgis_min": "3.38.0", "qgis_max": "3.99.0", "downloads": 825, "uploaded_by": "hawkgislab", "upload_datetime": "2025-10-09T13:06:14.812275"}, {"version": "0.1.1", "experimental": true, "qgis_min": "3.38.0", "qgis_max": "3.99.0", "downloads": 253, "uploaded_by": "hawkgislab", "upload_datetime": "2025-10-07T04:11:10.673962"}, {"version": "0.1.0", "experimental": true, "qgis_min": "3.38.0", "qgis_max": "3.99.0", "downloads": 129, "uploaded_by": "hawkgislab", "upload_datetime": "2025-09-24T07:30:12.684734"}]}