ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 189-196, 2015
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W4/189/2015/
doi:10.5194/isprsannals-II-3-W4-189-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
11 Mar 2015
MASSIVE-SCALE TREE MODELLING FROM TLS DATA
P. Raumonen1, E. Casella2, K. Calders3, S. Murphy4, M. Åkerblom1, and M. Kaasalainen1 1Tampere University of Technology, Tampere, Finland
2Forest Research, Farnham, UK
3Wageningen University, Wageningen, Netherlands
4Melbourne School of Land and Environment, University of Melbourne, Australia
Keywords: Quantitative structure models, automatic tree extraction, biomass, forest plot, ground truth, oak, eucalyptus, LiDAR 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.
Conference paper (PDF, 3486 KB)


Citation: Raumonen, P., Casella, E., Calders, K., Murphy, S., Åkerblom, M., and Kaasalainen, M.: MASSIVE-SCALE TREE MODELLING FROM TLS DATA, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 189-196, doi:10.5194/isprsannals-II-3-W4-189-2015, 2015.

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