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.
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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.
- Input data from point cloud, models, rasters, vectors and more
- Classification tools
- Automatic strip alignment
- Display by elevation, intensity, category, RGB, combination, etc
- Display modes: Mixed display, treeID, EDL, Glass
- Display and measure flight path files
- Clip flight path
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.
- Generate DEM, DSM, canopy height models & more
- Generate and edit TIN models based on point cloud
- Generate contour lines from rasters
- Generate TDOM models
- Calculate terrain slope, aspect, roughness, hillshade and more from terrain surface models
Aerial & Terrestrial Forestry Metrics
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.
- Height Variables
- Intensity Variables
- Leaf Area Index (LAI)
- Artificial Neural Network Regression
- CHM Segmentation
- Point Cloud Segmentation
- Ground Point Filtering
- Extract by treeID