Working with LiDAR Data

Duration : 40 hours

In 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 is play vital role in projects implementation.
This training course on LiDAR 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 and error analysis, DEM generation, contour generation, feature extraction like building, powerline and trees, Integration of LiDAR and aerial photograph.

After completing the module you will be able to:

  • DefineLiDAR
  • Select different types of elevation data for specific application
  • Describe how LiDAR data is collected
  • Identify important characteristics of LiDAR data
  • Distinguish between different LiDAR product
  • Recognize data quality that impact data usability
  • Identify the feature information from LiDAR data
  • Use feature interpretation and extraction technics
  • Understand common problems in macro filtered ground, restoration methods, Noise removal methods, Usages of macros for ground editing
  • Classify LiDAR data as per the ASPRS standards
  • Identify, Classify and extraction feature like building, powerline, trees, water bodies, vegetation classification, bridge, culvert etc
  • Create the surface model and edit the surface
  • Create digital elevation, digital terrain models
  • Anybody who interested to learn LiDAR technology and its applications

Prerequisites

  • Basic Knowledge of MicroStation
  • Fundamental concepts of remote sensing and land Survey
  • Knowledge on Geospatial data formats
  • Knowledge of Geospatial data accuracy

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Schedule

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23 May 17Week Days2 to 5 PMKalyan, Mumbai Register
08 Aug 17Week Days10:30 to 2 PMPune Register

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Mumbai
A-214, Sidhivinayak Shankul, Oakbaug, Station Road, Kalyan (West), Mumbai

+91 9892 998 626

info@khagolam.com

Pune
206, Kedar Empire, Near Dhashabhuja Ganpati, Karve Road, Pune

+91 9892 998 521

info.pune@khagolam.com