[general]
name=TrailScan
qgisMinimumVersion=3.38
description=Deep learning-based segmentation of skid trails from airborne LiDAR data
about=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.
version=0.1.2
tracker=https://github.com/GISLAB-HAWK/TrailScan-QGIS-Plugin/issues
author=HAWK Forest Monitoring Lab (Tanja Kempen, Mathias Gröbe, Maximilian Freudenberg, Paul Magdon)
email=tanja.kempen@hawk.de
repository=https://github.com/GISLAB-HAWK/TrailScan-QGIS-Plugin
homepage=https://github.com/GISLAB-HAWK/TrailScan-QGIS-Plugin
icon=TrailScan_Logo.png
tags=LiDAR, Point Cloud, Deep Learning, Forestry, Skid Trails, ALS
hasProcessingProvider=True
category=Raster
experimental=FALSE
changelog=Error handling for ALS Data classification, CRS and point density. Shape check added to avoid different output sizes of raster layers.
