MSc thesis subject: Characterising performance of the new In-situ Monitoring Lidar VEGNET

The new in-situ monitoring lidar system VEGNET offers the chance to revolutionise the acquisition of Plant Area Index and Vegetation Density Profiles. It would allow to monitor these variables on a day to day basis and thereby identify phenological metrics like start and end of season. However, it has not been compared yet to established instruments like the RIEGL VZ-400 scanner.

The aim of this study is to compare the VEGNET with the RIEGL scanner and thereby investigate the potentials and limitations of the VEGNET in respect to acquisition of canopy structural variables.


  • Conduct literature review on TLS systems to understand main characteristics of the sensors
  • Collect a dataset of co-occurring VEGNET and RIEGL observations under varying canopy conditions
  • Compare derived variables from both instruments (e.g. highest return points, plant area density profiles, canopy plant area index)



  • Scripting skills (e.g. R, Python, MatLab) are a preference
  • Fieldwork in Dutch forests

Theme(s): Sensing & measuring