Learn how to turn raw LiDAR into clean, reliable ground surfaces in LP360. In this session from the 2025 LP360 User Conference, LP360 support expert Eian Margaret Davis provides an in-depth guide on how to perform different Ground Classification methods for high-density LiDAR datasets in LP360. During this session, Eian walks you step by step through ground classification workflows, including noise filtering, seed surface generation, Adaptive TIN settings, and AI Ground Classification. She also emphasizes the importance of understanding the nature of the ground surface for the Adaptive TIN Method for ground classification. Whether you are new to LP360 or refining your existing workflows, this presentation will help you build better terrain models and smarter deliverables from your point cloud data.
Join us for a hands-on session filled with insights and expert tricks to streamline data handling, overcome common hurdles, and optimize your workflow for efficient ground classification.
Download Data
The sample dataset for this exercise ("2025_LP360_UC_GroundClassification") is available on the LP360 Cloud.
To download the sample data set along with the related point cloud tasks (PCTs), follow the instructions on the Folders page > LP360 Sample Data section.
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