Join Kevin Cowart from GeoCue's Technical Support team as he delivers an in-depth training session on ground classification in LP360 using the adaptive TIN algorithm for high-density LiDAR data at the LP360 User Conference. In this seminar, Kevin emphasizes the critical nature of ground classification as the foundational step for more advanced point cloud analyses like height and tree segmentation. Participants are walked through the entire process, from downloading the necessary data sets to detailed steps for using LP360’s tools to achieve precise and accurate ground classifications. This session is packed with practical tips on data handling, troubleshooting common issues, and optimizing project settings for efficient and effective ground classification.
The sample dataset for this exercise ("2024_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. Visit the LP360 Ground Classification Workflow page for additional information.
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