@inproceedings{771542ef48b94d38ae972e0851cde47f,
title = "Massive-Scale Tree Modelling from TLS Data",
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 model, automatic tree extraction, biomass, forest plot, ground truth, oak, eucalyptus, LiDAR, laser scanner data, terrestrial",
author = "P. Raumonen and E. Casella and K. Calders and S. Murphy and M. {\AA}kerblom and M. Kaasalainen",
note = "JUFOID=81104; Joint ISPRS Conference on Photogrammetric Image Analysis (PIA) and High Resolution Earth Imaging for Geospatial Information (HRIGI) ; Conference date: 25-03-2015 Through 27-03-2015",
year = "2015",
doi = "10.5194/isprsannals-II-3-W4-189-2015",
language = "English",
volume = "II-3/W4",
series = "International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences",
publisher = "COPERNICUS GESELLSCHAFT MBH",
pages = "189--196",
editor = "U Stilla and C Heipke",
booktitle = "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
}