About
LiDAR360 is GreenValley International's flagship point cloud and photogrammetry post-processing software, designed for professionals working with LiDAR data across a wide range of industries. Launched in 2013, it integrates over ten internationally leading point cloud algorithms alongside artificial intelligence and machine learning to maximize the value of LiDAR datasets. The platform offers distributed computing that supports multi-task parallel scheduling across cloud and local clusters, dramatically reducing processing times and hardware costs compared to traditional single-machine workflows. Its AI Classification module can automatically classify over 32 feature types and integrates the Segment Anything Model for image-based outline extraction, while also enabling users to train custom classification models. The Model Builder allows users to freely combine 200+ functional modules to design automated, repeatable workflows — with support for command-line and distributed execution. Preprocessing tools cover trajectory adjustment, multi-station data registration, color harmonization, and coordinate reprojection. The Photogrammetry module generates RGB, infrared, and multispectral orthophotographs, supports GCP matching, and produces reliable data for AI classification and 3D building texturing. LiDAR360 is purpose-built for UAV, TLS, and MLS data and includes dedicated quality control modules for UAV LiDAR accuracy inspection. An integrated AI Assistant helps users learn complex features and resolve issues faster. It is widely deployed in digital city mapping, powerline inspection, forest inventory, tunnel surveying, and smart agriculture.
Key Features
- Automatic AI Classification: Classifies over 32 feature types automatically using deep AI integration, including the Segment Anything Model for image-based outline extraction and custom model training.
- Distributed Computing: Supports multi-task parallel scheduling across cloud and local clusters, delivering significantly faster processing at lower hardware costs compared to traditional single-machine methods.
- Model Builder with 200+ Modules: Enables users to freely combine over 200 functional modules to build custom automated workflows, with support for distributed and command-line execution.
- Comprehensive Preprocessing Tools: Includes trajectory adjustment, multi-station data registration, color harmonization, and coordinate reprojection to ensure clean, reliable point cloud data.
- Photogrammetry & UAV LiDAR QC: Generates RGB, infrared, and multispectral orthophotographs with GCP matching, plus one-click UAV LiDAR calibration and accuracy inspection across the full data workflow.
Use Cases
- Processing UAV-captured LiDAR point clouds for precision agriculture and crop monitoring workflows.
- Inspecting powerline corridors with automated AI classification to detect infrastructure hazards.
- Creating high-accuracy 3D digital city models by fusing multi-source LiDAR and photogrammetry data.
- Conducting forest inventory and biomass estimation using UAV or TLS point cloud data with automated tree segmentation.
- Performing tunnel and underground infrastructure surveys with multi-station scan registration and quality-controlled point cloud outputs.
Pros
- Comprehensive Industry Coverage: Supports diverse verticals including digital cities, powerline inspection, forestry, tunnel surveying, and smart agriculture with specialized modules for each.
- Scalable Distributed Processing: Cloud and local cluster support allows large datasets to be processed efficiently without requiring expensive single-machine hardware upgrades.
- Deep AI Integration: AI-driven classification, the Segment Anything Model, and custom model training provide highly automated, accurate, and adaptable workflows.
- Flexible Workflow Automation: The Model Builder lets professionals build, save, and reuse complex automated pipelines, significantly reducing repetitive manual work.
Cons
- Steep Learning Curve: The platform's breadth of 200+ modules and professional-grade features can be overwhelming for new users without a strong LiDAR or GIS background.
- Paid Licensing Only: LiDAR360 is a commercial product with no apparent free tier, making it cost-prohibitive for individual researchers or small teams on tight budgets.
- Niche Use Case: The software is purpose-built for LiDAR and photogrammetry workflows, limiting its utility outside of geospatial and remote sensing industries.
Frequently Asked Questions
What types of LiDAR data does LiDAR360 support?
LiDAR360 supports data from UAV, TLS (Terrestrial Laser Scanning), and MLS (Mobile Laser Scanning) platforms, as well as multi-source data fusion from various sensors.
Can LiDAR360 handle large-scale datasets?
Yes. The platform includes distributed computing that supports multi-task parallel processing across cloud and local clusters, enabling efficient handling of massive point cloud datasets.
Does LiDAR360 support custom AI model training?
Yes. Users can train their own AI models for point cloud classification and image feature extraction to meet the specific automation needs of their applications.
What industries is LiDAR360 designed for?
LiDAR360 is widely used in digital city mapping, smart electricity and powerline inspection, geographic information systems (GIS), smart agriculture, forestry inventory, and tunnel surveying.
Is LiDAR360 available on multiple operating systems?
LiDAR360 is designed to run on multiple platforms and supports integration with cloud and local computing clusters, though it is primarily a desktop application targeted at Windows environments.
