LiDAR Training - Information, Fee, Syllabus.

LiDAR Training Information

Course Title: Working with LiDAR Data
Duration: 40 hours
Training Modes: Online, Part time, Offline, Full time

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LiDAR Training Eligibility

• Knowledge of GIS concepts
• MicroStation is covered. (refer MicroStation Course)
• Understanding of isometric and orthographic views will add benefits

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LiDAR Training Overview

In India and Asian countries LiDAR technology is emerging and being employed extensively. LiDAR can be used for mapping urban areas, rapid surveys, building 3D city models, monitoring infrastructure projects, mining etc. Skilled map power on LiDAR data processing has huge demand in India. LiDAR skills can be employed or has job opportunities in building construction, infrastructure development, archology, heritage preservation, agriculture and may other sectors. LiDAR training will be useful for DJI Zenmuse L1 Surveying data processing.

This LiDAR training course on teaches the fundamentals concepts of LiDAR technologies along with hand on exercise on software tools. This includes Principles, Laser physics, Operation, Data formats, Modern trends, Applications, Error analysis, Data processing-concepts and issues, Information extraction, feature extraction, Integration with spectral data, 3D city model generation. Practical assignment covers data format conversion, visualisation, accuracies, point classification, error analysis, DEM generation, contour generation, feature extraction like building, powerline and trees, Integration of LiDAR.

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Modules covered in LiDAR Training

1. Work with MicroStation tools
2. Describe concepts of LiDAR data, how it works
3. Enumerate various applications of LiDAR surveying
4. Describe the procedures of LiDAR data collection
5. Understand various LiDAR sensors available in Indian market with its specification
6. Describe characteristics of photogrammetric vs LiDAR point cloud data
7. Visualise the point cloud in different interactive ways
8. Describe accuracies and errors in LiDAR data output products like DSM, DTM
9. Use feature interpretation and extraction technics
10. Understand common problems in classifying ground, restoration methods, noise removal methods. Usages of macros for automation
11. Classify point cloud using automatic and manual methods
12. Identify, Classify and extraction feature like building, powerline, trees, water bodies, vegetation classification, road, bridge, culvert etc
13. Create the surface model and edit the surface
14. Create digital elevation, digital terrain models
15. Create topographical contour using ground point cloud

Softwares taught in LiDAR Training

1. Microostation
2. Terra Tools

Technologies included in LiDAR Training

1. GIS
2. LiDAR