Rapid technological advancements in aerospace technology and imagery capture have seen a
dramatic rise in sensor types available, which has expanded the potential use unmanned aerial
vehicles (UAVs) in remote sensing research applications. This study is designed to examine the
application and utility of two fundamentally different LiDAR systems, specifically designed for UAV
operations with the objectives of system characterisation, quantitative performance assessment and
development of a comparative matrix. Utilised globally across a wide range of applications, the
ability to assess LiDAR system capabilities and have a standardised basis for comparison represents
an essential component in the ability of UAV operators to make informed decisions in instrument
selection and the logistical planning processes associated with to site‐specific limitations, project
objectives and UAV operations. The proposed study is uniquely positioned to address a fundamental
knowledge gap in global UAV remote sensing applications, which is, development of a standard
method for the assessment of UAV LiDAR systems in the efficient acquisition of accurate 3‐D point
clouds and key deliverables in global UAV survey and mapping operations.

Funding: Research Training Program (RTP)
Advisors: Dr Chris Roelfsema, Prof Stuart Phinn

 

Project members

Jeremy Sofonia

Jeremy SOFONIA

PhD candidate