LiDAR 101 – Maximising organisational value

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Course objectives

  • Provide a clear understanding of what LiDAR is
  • Determine the various related data products that can be acquired at the same time as LiDAR
  • Explore the applications of the data and specifically how they relate to industry
  • Look at case studies and international best practice
  • Provide a clear understanding of how different strategies can provide maximum value to an organisation

Course Dates

Course Location

NM Group Technology Centre
North Yorkshire
United Kingdom

Course Content

  • What is it
  • How it works and the different sensor types
  • Platforms – the different ways in which LiDAR can be collected, from tripod to high altitude fixed wing aircraft
  • How it varies – the way in which sensors, flight regimes and aircraft types can vary and the impact this has on the resulting dataset
  • Applicability – What the different variations in sensor and platform do to impact how the data can be used
  • Data applications Understanding how to use LiDAR data to produce 3D models Output to Google Earth Vegetation data in a GIS
  • What cant it do (debunking myths)
  • Introduction to classification
  • Why classifying LiDAR data is important
  • How it is performed (software, techniques, full manual, semi-automated, fully automated)
  • Classification best practice
  • What kind of imagery can be obtained
  • How it is processed and what differences this makes
  • Applications for industry
  • Understanding how to use LiDAR data to produce 3D models
  • Applications including output to Google Earth, vegetation data in a GIS
  • Maximising value – How the internal (to the customer) value proposition comes together, and how decision can improve this (cross-departmental collaboration, additional sensors on a flight, etc.)
  • Case studies – some international examples showing how all these different elements can be applied in different ways, and the lessons learnt
  • Q&A

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