I will process and classify lidar point clouds into dem, dsm, and contours

I process raw LiDAR and photogrammetry-derived point clouds into clean, classified, analysis-ready outputs. This is core to my work in LiDAR perception engineering (sensor fusion, autonomous vehicle/robotics pipelines) and geospatial data engineering, so I'm comfortable with both survey-grade and drone-derived point clouds.

What you get:

• Point cloud cleaning, denoising, and georeferencing
• Ground/non-ground/building/vegetation classification
• DEM (bare-earth) and DSM (surface) generation
• Contour line generation at your chosen interval
• Export in LAS/LAZ, GeoTIFF, DXF, or your preferred format

Why work with me:

• Background spans both GIS point-cloud workflows and LiDAR perception for autonomous systems I understand the data at a lower level than a typical GIS generalist
• Python-based processing where useful, so large tiles/datasets don't have to be handled fully manually

How it works:

1. Send your raw point cloud (LAS/LAZ/PLY/E57) and tell me the end use (terrain model, volume, visualization, etc.)
2. I confirm point density, tile count, and output specs
3. I clean, classify, and generate your deliverables
4. You receive classified point cloud + DEM/DSM/contours in your requested format