Introduction

LiDAR360 is a powerful LiDAR point cloud data processing and analysis platform which can simultaneously process more than 300G point cloud data with more than 10 advanced point cloud data processing algorithms. The platform includes a wealth of editing tools and automatic navigation tape splicing capabilities for the terrain, forestry, mining and power industries (see LiPowerline software).

The Terrain module is a suite of GIS tools used primarily for the generation of industry-standard topographic products. Our point cloud filtering algorithm can precisely extract ground points under complex landscapes and therefore improve the terrain surveying accuracy. The module can also fuse point cloud and image to produce real projective image and other products.

The Forestry module brings important technological innovations to forest inventory and analysis. The parameters of tree height, DBH and crown diameter can be obtained by individual tree segmentation algorithm. A range of regression models for predicting forest structures from LiDAR variables are also provided.

Specifically, LiDAR360 has the following modules:

• Strip Alignment: — Point clouds from overlapped strips can be automatically aligned based on strict geometric model. The software can display aligned strips in real-time and generate aligned point clouds with high accuracy. In addition, the software provides a range of data quality inspection and analysis tools to ensure data accuracy.

• Data Management: — LiDAR360 provides management tools for point cloud and raster data, which include format conversion, point cloud de-noising, normalization, raster band calculation and so on.

• Statistics — Statistical analysis of point clouds based on points, point density, Z value, etc., and evaluate data quality.

• Classification — LiDAR360 provides a variety of classification functions, including ground point classification, model key points classification, selection area ground point classification, machine learning model classification (can efficiently separate buildings, vegetation, street lights and other general categories), deep learning model classification, custom deep learning classification, etc.

• Vector Editing — Vector editing function completes the vectorization part of the digital line drawing process. Relying on the excellent display effect of point cloud, it provides a high-contrast base map, which can clearly distinguish the contouring of ground objects such as houses, vegetation areas, roads, street lamps, water areas and bridges to assist the vectorization of ground objects. At the same time, vector results can be edited, checked and drawn by combining image or model data. A variety of semi-automatic and manual vector chemical tools can be provided to facilitate the acquisition of two-dimensional and three-dimensional vectorization results.

• Terrain — LiDAR360 generates useful terrain and forest information by generating digital elevation models, digital surface models and canopy height models; the provided section analysis tools can generate cross-section products; It can also generate contour line, mountain shadow, slope, slope direction, roughness and other products. At the same time, it also provides the model data editing function.

• ALS Forest — Based on ALS (Airborne Laser Scanning) data, the module can extract a series of forestry parameters (such as height quantile, leaf area index, canopy density, etc.), segment individual trees and extract their parameters (including tree position, tree height, DBH, CBH, crown width, etc.), and use multiple regression analysis functions of the software combining with ground survey data to invert functional parameters such as forest biomass and stock.

• TLS Forest — Based on TLS (Terrestrial Laser Scanning) or backpack lidar point cloud data, it can extract DBH (Diameter at Breast Height) and the number of trees with batch processing, segment individual tree and calculate parameters of them (position, height, DBH, etc.), measure and edit individual tree attributes.

• Mine - Based on LiDAR point cloud data, it can build underground roadway 3D model construction, closed model volume measurement, volume change analysis, and open-pit mine slope line extraction, etc.

• Building Modeling - Providing a set of airborne point cloud data 3D vectorization construction tools. The 3D building model can be automatically constructed by using 2D base map, which preserves the topological structure of the building model, and provides a series of surface editing and edge editing tools. The model is at LOD2 level according to the model level description.

• Geology — Extraction of terrain features, geological structure surface features, etc. based on airborne lidar point cloud data.

• Power Line — A clearance distance analysis report can be obtained based on airborne LiDAR point cloud data, including calibration tower, data classification, and danger point detection.

• Photo — The photo module can recover the detailed 3D geometric structure of objects based on overlapping image data, merge point clouds, and generate a series of standard mapping products. The image module can process nadir, oblique, and multispectral images. Core functions include feature point extraction and matching, block adjustment, self-calibration of cameras, generation of DEM/DSM, intelligent orthoimage mosaicking, orthoimage generation, seamline editing, and more.

• Photo — Supports the construction of photogrammetric models from nadir, oblique true color, infrared, and hyperspectral images. It allows for the addition of control points to generate image projects with real-world coordinates. Features include camera calibration, distortion correction, regional network adjustment, and interactive feature point handling, ensuring users achieve optimal orthophoto results.

LiDAR360 Versions

Get Started

Please refer to Installation and License to install LiDAR360 software. Please refer to the User Guide to use the software.