Rapid characterisation of forest structure from TLS and 3D modelling

Burt, A., Disney, M. I., Raumonen, P., Armston, J., Calders, K. and Lewis, P. (2013). Rapid characterisation of forest structure from TLS and 3D modelling. In: 2013 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, Melbourne, Australia, (3387-3390). 21-26 July 2013. doi:10.1109/IGARSS.2013.6723555

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Author Burt, A.
Disney, M. I.
Raumonen, P.
Armston, J.
Calders, K.
Lewis, P.
Title of paper Rapid characterisation of forest structure from TLS and 3D modelling
Conference name 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Conference location Melbourne, Australia
Conference dates 21-26 July 2013
Proceedings title 2013 IEEE International Geoscience and Remote Sensing Symposium: Proceedings
Journal name IEEE International Geoscience and Remote Sensing Symposium Proceedings
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2013
Sub-type Fully published paper
DOI 10.1109/IGARSS.2013.6723555
Open Access Status Not Open Access
ISBN 9781479911141
ISSN 2153-6996
Start page 3387
End page 3390
Total pages 4
Abstract/Summary 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.
Subjects 1900 Earth and Planetary Sciences
1706 Computer Science Applications
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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