Guide to Handheld LiDAR Scanning Principles
Credits: 7 PDH
PDH Course Description:
This course provides a rigorous and comprehensive examination of handheld Light Detection and Ranging (LiDAR) scanning technologies, principles, and applications. Designed for engineers and land surveyors, the course covers foundational physics, data acquisition theory, equipment calibration, SLAM algorithms, and geospatial data integration. Practical use cases in construction, geotechnical surveys, BIM, heritage documentation, and environmental monitoring are analyzed in depth.The course also addresses post-processing workflows, regulatory compliance, and accuracy assessment techniques. With a technical approach grounded in real-world field conditions, the course offers an essential knowledge base for professionals deploying handheld LiDAR systems.
Topics:
Upon completion of this course, participants will be able to:
- Explain the underlying principles of LiDAR and time-of-flight ranging
- Differentiate handheld LiDAR technologies from aerial, mobile, and terrestrial systems
- Evaluate the suitability of handheld LiDAR for diverse engineering and surveying applications
- Operate and calibrate handheld LiDAR devices with attention to scanning environments
- Apply SLAM-based scanning workflows and error-correction methodologies
- Interpret and manipulate point cloud data using professional-grade software tools
- Integrate LiDAR data with GIS, CAD, and BIM environments
- Assess accuracy, precision, and limitations of handheld LiDAR data
- Navigate regulatory and documentation requirements for survey-grade scans
To take this course:
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Intended Audience: This course is intended for civil, structural, geotechnical, and environmental engineers, as well as professional land surveyors and geomatics specialists involved in spatial data collection and analysis. It is particularly suited to professionals who use or plan to implement handheld LiDAR technology for site documentation, construction verification, infrastructure assessment, or digital modeling within GIS, CAD, or BIM workflows.
Publication Source: Cadistics Courseware