Home › LiDAR & point cloud › Aerial LiDAR Classifier
Aerial LiDAR Classifier QGIS 4 compatibility
QGIS 4 ready Active
Yes — Aerial LiDAR Classifier supports QGIS 4 (declared max version 4.99.0).
Classify airborne and mobile mapping LiDAR point clouds with deep learning (LitePT-L, SegFormer 3D).
About
Classifies airborne and mobile mapping LiDAR point clouds (LAS / LAZ / COPC) with deep-learning models. For mobile mapping, LitePT-L MLS is a point transformer using 5 cm voxels. It labels ground, low and high vegetation, buildings, pole-like objects, vehicles, fences and barriers, wires and other objects, and each class code can be edited. For airborne LiDAR, LitePT-L at 10 cm (default on NVIDIA GPUs) and the UrbanFiltering 3D SegFormer from NRCan's TreeAIBox (GPU or CPU) write standard ASPRS codes. The LitePT-L models need an NVIDIA CUDA GPU. External dependencies: PyTorch, laspy, lazrs, timm, scipy and, on NVIDIA GPUs, spconv. A one-click setup installs them into a separate per-user folder on first use (no admin rights, nothing to configure), and the model weights download automatically. Files in feet are converted from their CRS; tiling and streaming handle files larger than RAM. Model weights are CC BY-NC 4.0. Documentation: https://github.com/akharroubi/AerialLidarClassifier The plugin author teaches a live cohort, LiDAR Point Clouds Processing in QGIS: https://maven.com/geomatics/qgis3d?utm_source=plugins.qgis.org&utm_medium=listing&utm_campaign=qgis3d
| Author | Abderrazzaq Kharroubi (GeoScITY Lab, University of Liege) |
|---|---|
| Downloads | 2,401 |
| Latest version | 1.2.1 |
| Last updated | 2026-10-10 (5 days ago) |
| Min QGIS | 3.34.0 |
| Max QGIS | 4.99.0 |
| QGIS 4 ready | Yes |
| Maintenance | Active |
| Categories | LiDAR & point cloud, AI & machine learning |
| Tags | classification, point cloud, lidar, las, laz, asprs, pytorch, machine learning, aerial, deep learning, semantic segmentation, treeaibox, segformer, copc, litept, point transformer, mobile mapping, mls, mms |
Homepage · Repository · Issue tracker · Official page
Alternatives in LiDAR & point cloud
- LAStoolsQGIS 4 ready
batch-scriptable, multicore command-line tools for processing point clouds in LAS, LAZ, and ASCII formats
- Pobieracz danych GUGiKQGIS 4 ready
Pozwala na pobranie danych z zasobów GUGiK z interfejsu QGIS. EN: Allows user to download spatial data of Poland based on GUGiK's services.(
- FUSION for ProcessingQGIS 4 ready
Suite of tools for LiDAR analysis and visualisation
Related plugins
- QGIS2PotreeQGIS 4 ready
Integrates a Potree point-cloud viewer into QGIS 3 and QGIS 4 and exports portable Potree projects from LAS, LAZ and COPC layers.
- LiDAR AutoVector StudioQGIS 4 ready
Interactive LiDAR-to-vector automation with independent extraction of water, vegetation, low vegetation, settlements, buildings, cropland, b
- GeoOSAMNot QGIS 4 ready
AI-powered segmentation for QGIS — SAM2.1 & SAM3 with text prompts, similar object detection, vector ROI, and professional GIS workflow feat
- PDALtoolsNot QGIS 4 ready
Installs PDALtools Processing provider
- FlaiQGIS 4 ready
Provides GUI access to Flai’s Open Lidar Data Hub and local control over the Flai CLI for AI-powered geospatial classification.
- AI Segmentation by TerraLabQGIS 4 ready
AI segmentation in QGIS 3.22 to 4. Draw a zone, name an object and get every building footprint, tree or solar panel as vector polygons, or
Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.