MASSIVE-SCALE TREE MODELLING FROM TLS DATA

Autor: P. Raumonen, E. Casella, K. Calders, S. Murphy, M. Åkerblom, M. Kaasalainen
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3/W4, Pp 189-196 (2015)
Druh dokumentu: article
ISSN: 2194-9042
2194-9050
DOI: 10.5194/isprsannals-II-3-W4-189-2015
Popis: 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.
Databáze: Directory of Open Access Journals