I will classify lidar point clouds and extract buildings, terrain, roads and 3d feature

I develop custom LiDAR processing, point cloud classification, feature extraction, and 3D mapping workflows for complex spatial datasets.

I can process LiDAR and point cloud data to identify and separate important real-world features such as:

• Building and roof extraction
• Ground and terrain classification
• Vegetation and tree detection
• Road and surface extraction
• Object classification
• Point cloud segmentation
• Noise and outlier removal
• 3D feature extraction
• Building footprint generation
• Elevation and spatial analysis
• Point cloud filtering
• Automated LiDAR workflows

I work with Python, Open3D, NumPy, PDAL, machine learning, and custom 3D processing pipelines to turn raw spatial data into structured and usable information.

My workflows are suitable for surveying, mapping, construction, urban planning, robotics, geospatial analysis, and 3D reconstruction.

Send me your LiDAR/point cloud dataset, required classes, and desired output before ordering.