Explore how LP360 AI Classification Add-Ons streamline LiDAR point cloud processing, reduce manual classification, and improve geospatial workflow productivity.
GeoCue is excited to invite you to our next LP360 webinar, Meet the New LP360 AI Classification Add-Ons, taking place on Wednesday, May 27, 2026, at 10:00 AM CST.
As LiDAR projects continue to grow in size and complexity, users are always looking for ways to reduce manual processing time, simplify classification workflows, and move from raw data to finished deliverables more efficiently. The latest AI Classification Add-Ons in LP360 are designed to do exactly that.
In this informative webinar, we’ll take a closer look at the new cloud-powered AI classification tools now available in LP360 and show how they can help streamline point cloud classification across a wide range of applications, including surveying, forestry, utilities, infrastructure, mapping, and geospatial production workflows.
Attendees will get a guided overview of the new AI Classification tab inside LP360 and see how these tools fit into the existing LP360 processing workflow. Whether you’re looking to improve ground classification, extract advanced features, analyze forestry data, or support utility corridor mapping, these new AI-powered tools can help reduce manual cleanup and give you a faster path to reliable deliverables.
The webinar will highlight the available AI Classification bundles, including AI Ground Only, AI Ground+ Classification, AI Forestry, and AI Utilities.
AI Ground Only is designed to help automate ground and non-ground segmentation, giving users a faster way to begin the classification process and reduce the amount of manual editing typically required.
AI Ground+ Classification expands on that capability by identifying additional above-ground features such as vegetation, buildings, roofs, walls, vehicles, bridge decks, water surfaces, and more. This gives users a more complete classification starting point for complex projects and helps improve overall workflow efficiency.
For forestry applications, AI Forestry provides powerful tools for tree segmentation and vegetation analysis. We’ll review outputs such as individual tree locations, DBH points, crown polygons, canopy height model raster outputs, and other forestry-focused deliverables that can help users better understand and analyze LiDAR data in forested environments.
We’ll also explore AI Utilities, which is designed to support transmission line and utility corridor workflows. This tool can help identify and classify key utility features, including vegetation, wires, towers or poles, insulators, cables, guard wires, jumper wires, and attachment points. For users working in utilities, vegetation management, or corridor mapping, this can provide a more efficient way to extract meaningful information from complex datasets.
Throughout the webinar, we’ll discuss how these AI tools can help reduce manual classification and cleanup time while still keeping users in control of their final deliverables. AI classification is not intended to replace professional review and QA/QC, but it can serve as a powerful accelerator inside the LP360 workflow.
Join us on Wednesday, May 27, 2026, at 10:00 AM CST to see how LP360’s new AI Classification Add-Ons can help you work faster, simplify your processing workflow, and get more value from your LiDAR data.
Register now: