OpenTopography Tool Registry

The OpenTopography Tool Registry provides a community populated clearinghouse of software, utilities, and tools oriented towards high-resolution topography data (e.g. collected with lidar technology) handling, processing, and analysis. Tools registered below range from source code to full-featured software applications. We welcome contributions to the registry via the Contribute a Tool page.

Appearance of a tool in the OpenTopography Tool Registry does not imply endorsement, recommendation, or support, by the NSF OpenTopography Facility and is meant simply as a service to our users. OpenTopography does not guarantee the completeness or accessibility of specific content and links contributed by users. If you have been directly involved with the development of a registered tool and are not the original contributor of the tool to the registry, please email info@opentopography.org to supply updates or modifications to its entry.
Date   Tool Name Tool Type Keywords Rating
30 Mar 2011 VRMesh Survey: LiDAR Point Cloud Classification Tool

Description: Vrmesh Survey is an intelligent solution for automatic point cloud classification and bare-earth extraction. It automatically and accurately classifies LIDAR point clouds into ground, vegetation, building, and others. More than 90% identification jobs will be done in a one-click process. Manual adjustments can be easily performed in a cross section view. It also provides comprehensive functionalities to generate accurate triangle meshes.
 
Software Suite lidar, bare earth, point cloud, classification
(0 rating)
5 Mar 2015 Global Mapper LiDAR Module

Description: The Global Mapper LiDAR Module is an optional enhancement to the software that provides numerous advanced LiDAR processing tools, including automatic point cloud classification, feature extraction, cross-sectional viewing and editing, dramatically faster surface generation, and much more. At a fraction of the cost of comparable applications, it is a must-have for anyone using or managing LiDAR data.
 
Visualization, Point Cloud Analysis automatic point cloud classification, feature extraction, cross-sectional viewing and editing, drama
(0 rating)