David Simon

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Big Data Capture – A LIDAR perspective

David Simon, Team Leader – Elevation, Geoscience Australia


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5 Things You Will Learn

  1. Collaborative
  2. Approach
  3. Planning for success
  4. Big Data needs different methods and thinking
  5. A working model for big LIDAR capture

Target Audience

People looking to undertake large-scale data capture interested in collaboration Government

Presentation Overview

Collecting big data that are measured in the size of terabytes is a challenging and time-consuming task. Geoscience Australia has worked on capturing flood plain LIDAR over key river areas in the Murray Darling Basin over the last 3 years. The survey areas were the largest attempted in Australia and with this brought challenges and issues not seen in the smaller scale capture work undertaken by Geoscience Australia and commercial LIDAR Suppliers within Australia.   This paper outlines issues and lessons learnt from this large scale LIDAR Capture program. It will discuss our mistakes and how we have used that knowledge to develop a new collaborative model for capturing, managing, quality assessing and delivering large LIDAR Capture. The change is not just one of technical change but also of developing and committing to a more collaborative model when working one these projects. The benefits from this change will translate through to better LIDAR specifications via ICSM, better QA and significant reductions in procurement time and costs leading to better value for money.


David Simon is the Team Leader of the Elevation area at Geoscience Australia. Over the last 4 years, David has worked to delivering the second biggest LIDAR capture program in the world. His background is varied in spatial science and environmental engineering.