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Terrestrial LiDAR: 3D Scanning and Data Processing Techniques

--Enercomp Solutions Pvt. Ltd.--

This course designed to teach the fundamentals of terrestrial LiDAR technology. Over five days, participants will explore how to set up and operate LiDAR systems for 3D scanning, acquire high-quality data, and process point clouds. The course covers basic to advanced data processing techniques, including noise reduction, classification, and feature extraction. Attendees will also learn about practical applications of LiDAR data and emerging trends in the field. By the end of the course, participants will be equipped with the skills to handle real- world LiDAR projects effectively.

COURSE INFORMATION :


COURSE DURATION

5 Days





LOCATION

179 Pushkar Industrial and Logistics Park, Behind Satyam Mall, Changodar, Ahmedabad-382213, Gujarat, India


COURSE FEE

Fee Of Course= 3,500/- + 18% GST
Total Fee = 4,130/-
(inclusive of all materials , practical training and software access)



TIMING

10 am onwards



RECOMMENDED

Civil Engineering

Geomatics

Surveying

Geography

Architecture

Environmental Science

Transportation

Urban planning

Heritage conservationists

Mining and Quarrying

Forensic Experts

THEORY AND PRACTICAL TOPICS COVERED:

Day 1: Introduction to Terrestrial LiDAR and 3D Scanning

  • Introduction to LiDAR Technology

  • Key components: Laser, scanner, and GPS/IMU

  • Characteristics and applications of terrestrial LiDAR

  • Types of LiDAR Systems

  • Comparison of different terrestrial LiDAR scanners

  • Key specifications: Range, accuracy, resolution

  • Principles of 3D Scanning

  • Coordinate systems and data formats

  • Hands-on demonstration of a terrestrial LiDAR scanner

  • Setup and calibration of the scanner

  • Basic data capture procedure


Day 2: Data Acquisition and Scanning Techniques

  • Planning a LiDAR Survey

  • Scanning Strategies and Techniques

  • Data Acquisition in the Field

  • Downloading and organizing scan data

  • Initial data review and quality checks


Day 3: Point Cloud Processing and Management

  • Understanding point cloud data: Structure and characteristics

  • Data storage and management

  • Practical Data Processing

  • Data Cleaning and Classification

  • Importance of data quality and accuracy

  • Basic editing and adjustments tools.

  • Generating 3D models from point clouds

  • Exporting data to different formats

  • Creating visualizations and reports


Day 4: Advanced Processing and Analysis

  • Surface modeling and mesh generation

  • Generating and analyzing DEMs and DSMs

  • Feature extraction: Measurements, sections, and contours

  • Combining LiDAR data with other data sources

  • Performing advanced data processing tasks

  • Creating detailed models and analysis

  • Reviewing case studies of LiDAR applications in various industries

  • Hands-on exercise: Applying learned techniques to a case study


Day 5: Practical Applications and Future Trends

  • Applications in construction, heritage preservation, urban planning, and environmental monitoring

  • Case studies and examples of successful LiDAR projects

  • Future Trends and Innovations

  • Group project: Plan and execute a small LiDAR scanning and processing task

  • Reviewing key concepts and skills learned

  • Q&A session and course wrap-up, including feedback and additional resources

Why Choose Us?

  • With over 10 years of experience, we handled large-scale projects covering more than 10,000 sq. km., ensuring precise and reliable results.
  • We specialize in tailored data processing for land surveys, mining, agriculture, archaeological sites and power line inspections, adapting to the unique needs of each project.
  • We manage end-to-end data collection and processing, providing comprehensive solutions for large and complex projects.
  • Leveraging the latest drone and software technology, we deliver superior data quality and efficiency.
  • Our skilled professionals bring years of hands-on experience, ensuring every project is executed to the highest standards.