Thesis subject

MSc thesis topic: Use of Terrestrial Laser Scanning to analyse variation in tree architecture

As a consequence of climate change, trees have to adapt to new conditions. To study which beech tree from which location will be best adapted to future climate, (beech) trees from all over Europe were planted in a randomized block experiment called a provenance trial. These trees are regularly measured.

Background

In the experimental plot at the Oostereng (close to Wageningen), 33 different each provenances were planted 25 years ago, in subplots of 10x10m, each containing 50 trees. The plot has been scanned with a terrestrial laser scanner in 2022, but data have not been thoroughly analysed yet, because of a number of technical challenges with processing such large datasets. Now, with available software like Raycloudtools we are able to segment individual trees and create tree models efficiently and hopefully answer a number of burning questions about the beech provenances. Since it has been a few years since the last scans were made, the thesis will likely include scanning the plot again, so bring some sturdy shoes! This means changes over those few years can be included in the analysis.

Relevance to research/projects at GRS or other groups

The provenance trial is a long-term experiment where multiple WUR groups are involved.

Objectives

  • Collect TLS data of the beech provenance trial
  • Derive individual tree parameters (e.g. stem and crown biomass, branch architecture) using automated tools like raycloudtools (or comparable software).
  • Evaluate how well such tools perform by comparing outcomes with field observations
  • Analyse if there are differences in tree architecture between the different provenances and if they relate to e.g. site conditions

Requirements

  • Scripting skills (e.g. R, Python) are a preference
  • Basic knowledge of forestry
  • Completion GRS32306 Advanced Earth Observation

Literature

Theme(s): Sensing & measuring; Integrated Land Monitoring