Advanced search
Author
Organization
Abstract
This paper presents a method for reconstructing automatically the quantitative structure model of every tree in a forest plot from terrestrial laser scanner data. A new feature is the automatic extraction of individual trees from the point cloud. The method is tested with a 30-m diameter English oak plot and a 80-m diameter Australian eucalyptus plot. For the oak plot the total biomass was overestimated by about 17 %, when compared to allometry (N = 15), and the modelling time was about 100 min with a laptop. For the eucalyptus plot the total biomass was overestimated by about 8.5 %, when compared to a destructive reference (N = 27), and the modelling time was about 160 min. The method provides accurate and fast tree modelling abilities for, e. g., biomass estimation and ground truth data for airborne measurements at a massive ground scale.
Keywords
Quantitative structure models, automatic tree extraction, biomass, forest plot, ground truth, oak, eucalyptus, LiDAR, LASER SCANNER DATA, TERRESTRIAL, BIOMASS, LIDAR

Citation

Please use this url to cite or link to this publication:

Chicago
Raumonen, P, E Casella, Kim Calders, S Murphy, M Åkerbloma, and M Kaasalainen. 2015. “Massive-scale Tree Modelling from TLS Data.” In International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, ed. U Stilla and C Heipke, II-3/W4:189–196. Gottingen, Germany: Copernicus.
APA
Raumonen, P., Casella, E., Calders, K., Murphy, S., Åkerbloma, M., & Kaasalainen, M. (2015). Massive-scale tree modelling from TLS data. In U. Stilla & C. Heipke (Eds.), International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences (Vol. II-3/W4, pp. 189–196). Presented at the Joint ISPRS conference on Photogrammetric Image Analysis (PIA) and High Resolution Earth Imaging for Geospatial Information (HRIGI), Gottingen, Germany: Copernicus.
Vancouver
1.
Raumonen P, Casella E, Calders K, Murphy S, Åkerbloma M, Kaasalainen M. Massive-scale tree modelling from TLS data. In: Stilla U, Heipke C, editors. International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences. Gottingen, Germany: Copernicus; 2015. p. 189–96.
MLA
Raumonen, P et al. “Massive-scale Tree Modelling from TLS Data.” International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences. Ed. U Stilla & C Heipke. Vol. II-3/W4. Gottingen, Germany: Copernicus, 2015. 189–196. Print.
@inproceedings{8544413,
  abstract     = {This paper presents a method for reconstructing automatically the quantitative structure model of every tree in a forest plot from terrestrial laser scanner data. A new feature is the automatic extraction of individual trees from the point cloud. The method is tested with a 30-m diameter English oak plot and a 80-m diameter Australian eucalyptus plot. For the oak plot the total biomass was overestimated by about 17 %, when compared to allometry (N = 15), and the modelling time was about 100 min with a laptop. For the eucalyptus plot the total biomass was overestimated by about 8.5 %, when compared to a destructive reference (N = 27), and the modelling time was about 160 min. The method provides accurate and fast tree modelling abilities for, e. g., biomass estimation and ground truth data for airborne measurements at a massive ground scale.},
  author       = {Raumonen, P and Casella, E and Calders, Kim and Murphy, S and Åkerbloma, M and Kaasalainen, M},
  booktitle    = { International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences},
  editor       = {Stilla, U and Heipke, C},
  issn         = {2194-9050},
  keywords     = {Quantitative structure models,automatic tree extraction,biomass,forest plot,ground truth,oak,eucalyptus,LiDAR,LASER SCANNER DATA,TERRESTRIAL,BIOMASS,LIDAR},
  language     = {eng},
  location     = {Munich, Germany},
  pages        = {189--196},
  publisher    = {Copernicus},
  title        = {Massive-scale tree modelling from TLS data},
  url          = {http://dx.doi.org/10.5194/isprsannals-ii-3-w4-189-2015},
  volume       = {II-3/W4},
  year         = {2015},
}

Altmetric
View in Altmetric
Web of Science
Times cited: