Revealing changes in the stem form and volume allocation in diverse boreal forests using two-date terrestrial laser scanning

Ville Luoma*, Tuomas Yrttimaa, Ville Kankare, Ninni Saarinen, Jiri Pyörälä, Antero Kukko, Harri Kaartinen, Juha Hyyppä, Markus Holopainen, Mikko Vastaranta

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
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Tree growth is a multidimensional process that is affected by several factors. There is a continuous demand for improved information on tree growth and the ecological traits controlling it. This study aims at providing new approaches to improve ecological understanding of tree growth by the means of terrestrial laser scanning (TLS). Changes in tree stem form and stem volume allocation were investigated during a five-year monitoring period. In total, a selection of attributes from 736 trees from 37 sample plots representing different forest structures were extracted from taper curves derived from two-date TLS point clouds. The results of this study showed the capability of point cloud-based methods in detecting changes in the stem form and volume allocation. In addition, the results showed a significant difference between different forest structures in how relative stem volume and logwood volume increased during the monitoring period. Along with contributing to providing more accurate information for monitoring purposes in general, the findings of this study showed the ability and many possibilities of point cloud-based method to characterize changes in living organisms in particular, which further promote the feasibility of using point clouds as an observation method also in ecological studies.

Original languageEnglish
Article number835
Number of pages20
Issue number7
Publication statusPublished - Jul 2021
MoE publication typeA1 Journal article-refereed


  • Change detection
  • Forest monitoring
  • Forest science
  • Ground-based LiDAR
  • Growth and yield
  • Laser scanning
  • Point cloud processing
  • Time-series analysis
  • Tree growth


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