Strip Adjustment, Statistics, Data Management, Classification
LiDAR360's Terrain module contains tools for generating topographic models and vector editor
ALS/TLS Forest contains tools for extracting individual tree metrics from LiDAR data.
LiDAR360 is a comprehensive software solution that provides tools for efficiently visualizing, generating & manipulating LiDAR data. A free 30-Day trial is available to all first-time users here.
The LiDAR360 Framework lays the foundation for the entire software suite. With TB-level processing power, the Framework contains tools required for effectively interacting and manipulating LiDAR point cloud data. Functions include data management, automatic strip alignment, and point cloud classification. It also allows users to upgrade to application-specific modules such as terrain, ALS/ TLS Forestry, and Geological Analysis. In the latest version 4.0, LiDAR360 perfectly supports all the attributes of LAS 1.4 (expect the waveform attribute), which meet users’ needs for the attribute extension of point cloud data.
The terrain model provides a series of automatic and manual-editing tools for classifying ground points from LiDAR point clouds. It also provides a set of GIS tools for interpolating surface models (e.g., digital elevation model/DEM, digital surface model/DSM), and visualizing and editing them in 3D. Additionally, it contains tools for repairing surface models from spikes and holes. Furthermore, It allows users to analyze the terrain model to generate derivatives from the surface models, e.g. slope, aspect, and roughness. In the latest version, the change detection and deviation analysis functions to better support users' needs in different fields, e.g., disaster monitoring, land-use change analysis.
The forestry module contains tools to process point cloud data acquired from aerial laser scanning (ALS) systems (e.g., LiAir, LiEagle), terrestrial laser scanning ( TLS) systems (e.g., LiBackpack), and mobile laser scanning systems (e.g., LiMobile). This module provides effective individual tree segmentation and editing tools for all kinds of point cloud data. And users can recover the topographic information with denormalization tool after the segmentation and editing.
Segment individual trees based on point cloud from both aerial and terrestrial LiDAR systems. Supports both CHM-based and point cloud based segmentation algorithms. After the segmentation, users can manually modify the segmentation result to improve accuracy. And then recalculate the individual tree metrics based on the modified result.
Automatically calculate forest metrics including elevation, intensity, canopy cover, LAI, etc., and provide regression tools to derive parameters of forests that cannot be directly extracted from LiDAR point clouds, such as biomass and stem volume.
Automatically calculate individual tree parameters based on the segmented point cloud including tree location, tree height, diameter at breast height (DBH), crown area, crown diameter , crown area and so on.
New Features v.5.0: