LiDAR Point Clouds Processing in QGIS
Abderrazzaq Kharroubi
PhD in Geomatics · LiDAR & AI Specialist
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Build a complete QGIS workflow for 3D LiDAR point clouds.
A one-week live cohort to process LiDAR point clouds end-to-end inside QGIS. You build the full workflow: loading and styling, ground filtering and classification, DTM, DSM and Canopy Height Model derivation, building footprint extraction, Virtual Point Clouds for scale, COPC streaming, and interactive 3D editing... and more.
Our anchor application is an urban context on European LiDAR datasets. It transfers directly to forest modelling, infrastructure inspection, archaeology, and any national LiDAR programme
What you’ll learn
Loading and styling at scale
You open LAZ, COPC, EPT, and Virtual Point Cloud collections without crashing your machine.
You style with classification, RGB, intensity ramps, Eye-Dome Lighting, and ambient occlusion.
You use PDAL inside the Processing toolbox to filter ground,
export DTMs and DSMs, build Canopy Height Models, and derive LOD1 building footprints from classified points.
You profile cross-sections through buildings and treelines.
You re-classify misclassified points interactively in the 3D view (QGIS 3.42+) and save the corrected layer back to COPC.
Learn directly from Abderrazzaq
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Abderrazzaq Kharroubi
PhD in Geomatics, LiDAR & AI specialist
Who this course is for
A GIS analyst or geomatics technician.
A surveyor or land specialist.
A forestry, urban, or environmental researcher.
What's included
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Live sessions
Learn directly from Abderrazzaq Kharroubi in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
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Course syllabus
3 live sessions • 9 lessons
Week 1
Jun
24
Laod, visualise and profile
Wed 6/245:00 PM—6:30 PM (UTC)Jun
26
Products extraction from LiDAR data
Fri 6/265:00 PM—6:30 PM (UTC)Jun
28
3D point cloud classification with AI
Sun 6/2811:00 AM—12:30 PM (UTC)
See it: loading, styling, profiling
Process it: from points to rasters and buildings
Scale it: VPC, COPC streaming, and editing
Schedule
Live sessions
4-6 hrs
Wed, Jun 24
5:00 PM—6:30 PM (UTC)
Fri, Jun 26
5:00 PM—6:30 PM (UTC)
Sun, Jun 28
11:00 AM—12:30 PM (UTC)
Projects
2 hrs
Async content
2 hrs
Frequently asked questions
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