RAPID CHARACTERISATION OF FOREST STRUCTURE FROM TLS AND 3D MODELLING

被引:34
作者
Burt, A. [1 ]
Disney, M. I. [1 ,2 ]
Raumonen, P. [3 ]
Armston, J. [4 ,5 ]
Calders, K. [6 ]
Lewis, P. [1 ,2 ]
机构
[1] UCL, Dept Geog, London WC1E 6BT, England
[2] NERC, Natl Ctr Earth Observat, London, England
[3] Tampere Univ Technol, Dept Math, Tampere, Finland
[4] Univ Queensland, Ctr Spatial Environm Res, St Lucia, Qld, Australia
[5] Queensland Gov, Remote Sensing Ctr, St Lucia, Qld, Australia
[6] Wageningen Univ, Lab Geo Informat Sci & Remote Sensing, Wageningen, Netherlands
来源
2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年
关键词
TREE MODELS; CANOPY;
D O I
10.1109/IGARSS.2013.6723555
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Raumonen et al.[1] have developed a new method for reconstructing topologically consistent tree architecture from TLS point clouds. This method generates a cylinder model of tree structure using a stepwise approach. Disney et al.[2] validated this method with a detailed 3D tree model where structure is known a priori, establishing a reconstruction relative error of less than 2%. Here we apply the same method to data acquired from Eucalyptus racemosa woodland, Banksia ameula low open woodland and Eucalyptus spp. open forest using a RIEGL VZ-400 instrument. Individual 3D tree models reconstructed from TLS point clouds are used to drive Monte Carlo ray tracing simulations of TLS with the same characteristics as those collected in the field. 3D reconstruction was carried out on the simulated point clouds so that errors and uncertainty arising from instrument sampling and reconstruction could be assessed directly. We find that total volume could be recreated to within a 10.8% underestimate. The greatest constraint to this approach is the accuracy to which individual scans can be globally registered. Inducing a 1cm registration error lead to a 8.8% total volumetric overestimation across the data set.
引用
收藏
页码:3387 / 3390
页数:4
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