< Back to Videos

How to Train a Custom Lidar Point Cloud Classification

Explore how to train your own lidar point cloud classification in a few steps. In addition to the standard automatic classifications such as ground, vegetation and buildings, use machine learning to further customize your workflow.

RELATED VIDEOS

How to Classify Point Clouds with the Path Profile View

Watch Now
From Drone to Map: Import lidar data into Global Mapper

Watch Now
Using Lidar Point Clouds to Identify Change in Tree Height

Watch Now
How to Create Custom Lidar Classifications

Watch Now
How to Create a Digital Terrain Model from Lidar

Watch Now
10 Tips & Tricks: Simplify Site Suitability & Lidar Analysis

Watch Now
The Impact of Climate Change on Coastal Communities

Watch Now
Creating a Tropical Dry Forest Map with Lidar Technology

Watch Now
Global Mapper’s Origins

Watch Now
How to Process Drone-Collected Data with Pixels to Points

Watch Now
Extract Tree Features from a 3D Point Cloud

Watch Now
How to Create a 3D Model from a Point Cloud

Watch Now

Companies using Blue Marble’s geospatial technology

Microsoft
Raytheon
Accuweather
United Nations
Boeing
Harvard University
NASA
Shell
Lockheed Martin
Chevron Corporation