1. Introduction to LiDAR Technology

• Principles of LiDAR and laser scanning
• Types of LiDAR systems: airborne, terrestrial, and mobile
• LiDAR components and how they work
• Advantages and limitations of LiDAR technology

2. Terrestrial Laser Scanning

• Terrestrial laser scanner types and specifications
• Field procedures and best practices
• Scan registration and georeferencing
• Quality control and accuracy assessment

3. Mobile LiDAR Systems

• Mobile LiDAR system components and integration
• Vehicle-mounted and backpack LiDAR solutions
• Trajectory computation and GNSS/INS integration
• Mobile mapping workflows and challenges

4. Point Cloud Processing and Analysis

• Point cloud data structures and formats
• Filtering, classification, and segmentation techniques
• Feature extraction and object recognition
• Data fusion with other geospatial data sources

5. LiDAR Applications in Surveying

• Topographic mapping and terrain modeling
• Infrastructure and asset management
• Building Information Modeling (BIM) integration
• Volumetric calculations and stockpile measurements

6. Advanced Topics and Future Trends

• Multi-spectral and Geiger-mode LiDAR
• Integration with photogrammetry and computer vision
• Artificial intelligence and machine learning in LiDAR processing
• Emerging applications and industry developments

Project 1: Terrestrial Laser Scanning Survey

Conduct a terrestrial laser scanning survey of a complex structure, process the data, and create deliverables including a registered point cloud and 3D mesh model.

Project 2: Mobile LiDAR Mapping

Plan and execute a mobile LiDAR survey of a road corridor, process the trajectory data, and extract features such as road edges, signs, and utilities.

Project 3: LiDAR Data Analysis and Visualization

Perform advanced analysis on a large LiDAR dataset, including classification, feature extraction, and integration with other geospatial data. Create visually compelling 3D visualizations of the results.