Limitations of estimating branch volume from terrestrial laser scanning

Christopher Morhart, Zoe Schindler, Julian Frey, Jonathan P. Sheppard, Kim Calders, Mathias Disney, Felix Morsdorf, Pasi Raumonen, Thomas Seifert

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
2 Downloads (Pure)

Abstract

Quantitative structural models (QSMs) are frequently used to simplify single tree point clouds obtained by terrestrial laser scanning (TLS). QSMs use geometric primitives to derive topological and volumetric information about trees. Previous studies have shown a high agreement between TLS and QSM total volume estimates alongside field measured data for whole trees. Although already broadly applied, the uncertainties of the combination of TLS and QSM modelling are still largely unexplored. In our study, we investigated the effect of scanning distance on length and volume estimates of branches when deriving QSMs from TLS data. We scanned ten European beech (Fagus sylvatica L.) branches with an average length of 2.6 m. The branches were scanned from distances ranging from 5 to 45 m at step intervals of 5 m from three scan positions each. Twelve close-range scans were performed as a benchmark. For each distance and branch, QSMs were derived. We found that with increasing distance, the point cloud density and the cumulative length of the reconstructed branches decreased, whereas individual volumes increased. Dependent on the QSM hyperparameters, at a scanning distance of 45 m, cumulative branch length was on average underestimated by − 75%, while branch volume was overestimated by up to + 539%. We assume that the high deviations are related to point cloud quality. As the scanning distance increases, the size of the individual laser footprints and the distances between them increase, making it more difficult to fully capture small branches and to adjust suitable QSMs.

Original languageEnglish
JournalEUROPEAN JOURNAL OF FOREST RESEARCH
DOIs
Publication statusE-pub ahead of print - 2024
Publication typeA1 Journal article-refereed

Keywords

  • Above-ground volume
  • European beech
  • LiDAR
  • QSM
  • Remote sensing
  • TLS

Publication forum classification

  • Publication forum level 2

ASJC Scopus subject areas

  • Forestry
  • Plant Science

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