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Volumetric overestimation of small branches in 3D reconstructions of Fraxinus excelsior

Miro Demol, Phil Wilkes, Pasi Raumonen, Sruthi Krishna Moorthy Parvathi (UGent) , Kim Calders (UGent) , Bert Gielen and Hans Verbeeck (UGent)
(2022) SILVA FENNICA. 56(1).
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Abstract
Terrestrial laser scanning (TLS) has been applied to estimate forest wood volume based on detailed 3D tree reconstructions from point cloud data. However, sources of uncertainties in the point cloud data (alignment and scattering errors, occlusion, foliage...) and the reconstruction algorithm type and parameterisation are known to affect the reconstruction, especially around finer branches. To better understand the impacts of these uncertainties on the accuracy of TLS-derived woody volume. high-quality TLS scans were collected in leaf-off conditions prior to destructive harvesting of two forest-grown common ash trees (Fraxinus excelsior L.; diameter at breast height -28 cm. woody volume of 732 and 868 L). We manually measured branch diameters at 265 locations in these trees. Estimates of branch diameters and tree volume from Quantitative Structure Models (QSM) were compared with these manual measurements. The accuracy of QSM branch diameter estimates decreased with smaller branch diameters. Tree woody volume was overestimated (+336 L and +392 L) in both trees. Branches measuring < 5 cm in diameter accounted for 80% and 83% of this overestimation respectively. Filtering for scattering errors or improved coregistration approximately halved the overestimation. Range filtering and modified scanning layouts had mixed effects. The small branch overestimations originated primarily in limitations in scanner characteristics and coregistration errors rather than suboptimal QSM parameterisation. For TLS-derived estimates of tree volume. a higher quality point cloud allows smaller branches to be accurately reconstructed. Additional experiments need to elucidate if these results can be generalised beyond the setup of this study.
Keywords
Ecological Modeling, Forestry, cavelab, aboveground biomass, common ash, crown architecture, lidar, quantitative structure models, woody tree volume, TERRESTRIAL LIDAR, TREE MODELS, WOOD VOLUME, STEM, BIOMASS, TLS, WIND

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Citation

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MLA
Demol, Miro, et al. “Volumetric Overestimation of Small Branches in 3D Reconstructions of Fraxinus Excelsior.” SILVA FENNICA, vol. 56, no. 1, 2022, doi:10.14214/sf.10550.
APA
Demol, M., Wilkes, P., Raumonen, P., Krishna Moorthy Parvathi, S., Calders, K., Gielen, B., & Verbeeck, H. (2022). Volumetric overestimation of small branches in 3D reconstructions of Fraxinus excelsior. SILVA FENNICA, 56(1). https://doi.org/10.14214/sf.10550
Chicago author-date
Demol, Miro, Phil Wilkes, Pasi Raumonen, Sruthi Krishna Moorthy Parvathi, Kim Calders, Bert Gielen, and Hans Verbeeck. 2022. “Volumetric Overestimation of Small Branches in 3D Reconstructions of Fraxinus Excelsior.” SILVA FENNICA 56 (1). https://doi.org/10.14214/sf.10550.
Chicago author-date (all authors)
Demol, Miro, Phil Wilkes, Pasi Raumonen, Sruthi Krishna Moorthy Parvathi, Kim Calders, Bert Gielen, and Hans Verbeeck. 2022. “Volumetric Overestimation of Small Branches in 3D Reconstructions of Fraxinus Excelsior.” SILVA FENNICA 56 (1). doi:10.14214/sf.10550.
Vancouver
1.
Demol M, Wilkes P, Raumonen P, Krishna Moorthy Parvathi S, Calders K, Gielen B, et al. Volumetric overestimation of small branches in 3D reconstructions of Fraxinus excelsior. SILVA FENNICA. 2022;56(1).
IEEE
[1]
M. Demol et al., “Volumetric overestimation of small branches in 3D reconstructions of Fraxinus excelsior,” SILVA FENNICA, vol. 56, no. 1, 2022.
@article{8737931,
  abstract     = {{Terrestrial laser scanning (TLS) has been applied to estimate forest wood volume based on detailed 3D tree reconstructions from point cloud data. However, sources of uncertainties in the point cloud data (alignment and scattering errors, occlusion, foliage...) and the reconstruction algorithm type and parameterisation are known to affect the reconstruction, especially around finer branches. To better understand the impacts of these uncertainties on the accuracy of TLS-derived woody volume. high-quality TLS scans were collected in leaf-off conditions prior to destructive harvesting of two forest-grown common ash trees (Fraxinus excelsior L.; diameter at breast height -28 cm. woody volume of 732 and 868 L). We manually measured branch diameters at 265 locations in these trees. Estimates of branch diameters and tree volume from Quantitative Structure Models (QSM) were compared with these manual measurements. The accuracy of QSM branch diameter estimates decreased with smaller branch diameters. Tree woody volume was overestimated (+336 L and +392 L) in both trees. Branches measuring < 5 cm in diameter accounted for 80% and 83% of this overestimation respectively. Filtering for scattering errors or improved coregistration approximately halved the overestimation. Range filtering and modified scanning layouts had mixed effects. The small branch overestimations originated primarily in limitations in scanner characteristics and coregistration errors rather than suboptimal QSM parameterisation. For TLS-derived estimates of tree volume. a higher quality point cloud allows smaller branches to be accurately reconstructed. Additional experiments need to elucidate if these results can be generalised beyond the setup of this study.}},
  articleno    = {{10550}},
  author       = {{Demol, Miro and Wilkes, Phil and Raumonen, Pasi and Krishna Moorthy Parvathi, Sruthi and Calders, Kim and Gielen, Bert and Verbeeck, Hans}},
  issn         = {{0037-5330}},
  journal      = {{SILVA FENNICA}},
  keywords     = {{Ecological Modeling,Forestry,cavelab,aboveground biomass,common ash,crown architecture,lidar,quantitative structure models,woody tree volume,TERRESTRIAL LIDAR,TREE MODELS,WOOD VOLUME,STEM,BIOMASS,TLS,WIND}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{26}},
  title        = {{Volumetric overestimation of small branches in 3D reconstructions of Fraxinus excelsior}},
  url          = {{http://doi.org/10.14214/sf.10550}},
  volume       = {{56}},
  year         = {{2022}},
}
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