This technique, referred to as Terrestrial laser scanning (TLS), opens up new opportunities in measuring forest structure, monitoring disturbances and simulating ecosystems.
“TLS provides us with a new way of looking at forests – not just from above, but from within. It helps us understand tree growth, forest responses to disturbances and the effects of forest structure on biodiversity and capacity for recovery,” says Associate Professor
Maeda notes that a deeper understanding helps researchers, decision-makers and communities to make increasingly justified decisions – and, ultimately, to better reconcile human activity with the environment.
The
The Tree-D Lab researchers have applied the TLS technique across the world in a range of ecosystems. In the tropics, such as Southeast Asia and the Amazon, laser scanning and machine learning have been used to assess the effects of forest fragmentation and logging. These investigations have revealed changes at the edges of clear-cut areas where the conditions are different from those in the middle of large forest areas.
In her doctoral thesis entitled
In Finland, research has provided new information on the effects of forest management on forest structure and growth, supporting increasingly sustainable practices and national forest monitoring.
Visualizing tree architecture using TLS-derived quantitative structure models (QSM):
The QSM was generated using the TreeQSM algorithm and consists of cylinders approximating the tree ’s woody component. Each branch is displayed in a different color. Four panels highlight quantitative structural information computed from the model.
- A: The total branch length per branch order (excluding the stem), highlighting the distribution of smaller, higher-order branches.
- B: Branch volume distribution across orders, indicating that larger branches are concentrated in lower orders.
- C: Branch volume to height, showcasing how woody branch volume is distributed vertically within the tree.
- D: The relationship between branch segment (excluding the stem) diameter and volume, emphasizing the contribution of smaller diameters to overall tree volume.