THE EFFECT of WIND on TREE STEM PARAMETER ESTIMATION USING TERRESTRIAL LASER SCANNING

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Volumn 3, Issue , 2016, Pages 117-122

  Vaaja, M T ^a   Virtanen, J P ^a   Kurkela, M ^a   Lehtola, V ^a,b   Hyyppa J ^b   Hyyppa H ^a,c  

^a AALTO UNIVERSITY   (Finland)

^b FINNISH GEOSPATIAL RESEARCH INSTITUTE   (Finland)

^c HELSINKI METROPOLIA UNIVERSITY OF APPLIED SCIENCES   (Finland)

Author keywords

Pine; Stem Diameter; Stem Location; Terrestrial Laser Scanning; Tree Reconstruction; Wind

Indexed keywords

EID: 85042119978     PISSN: 21949042     EISSN: 21949050     Source Type: Conference Proceeding    
DOI: 10.5194/isprs-annals-III-8-117-2016     Document Type: Conference Paper

References (29)

1. Bucher. I., 2004. Circle fit, MATLAB CENTRAL, http://www.mathworks.com/matlabcentral/fileexchange/5557-circle-fit.
2. Chow, J., Lichti, D. and Teskey, W., 2012. "Accuracy assessment of the FARO Focus3D and Leica HDS6100 panoramic-type terrestrial laser scanners through point-based and plane-based user self-calibration." In FIG Working Week 2012: Knowing to manage the territory, protect the environment, evaluate the cultural heritage, Rome, Italy, May 6-10, 2012.
3. Holopainen, M., Vastaranta, M., Kankare, V., Räty, M., Vaaja, M., Liang, X., ⋯ and Kaasalainen, S., 2011. Biomass estimation of individual trees using stem and crown diameter TLS measurements. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 3812, pp. 91-95.
4. Holopainen, M., Kankare, V., Vastaranta, M., Liang, X., Lin, Y., Vaaja, M., ⋯ & Alho, P., 2013. Tree mapping using airborne, terrestrial and mobile laser scanning: A case study in a heterogeneous urban forest. Urban Forestry & Urban Greening, 12(4), pp. 546-553.
5. Hopkinson, C., Chasmer, L., Young-Pow, C. and Treitz, P., 2004. Assessing forest metrics with a ground-based scanning lidar. Canadian Journal of Forest Research, 34(3), pp. 573-583.
6. Hyyppä, H. and Hyyppä, J., 2001. Effects of stand size on the accuracy of remote sensing-based forest inventory. IEEE Transactions on Geoscience and Remote Sensing, 39(12), pp. 2613-2621.
7. Hyyppä, J., Hyyppä, H., Yu, X., Kaartinen, H., Kukko, A. and Holopainen, M., 2009. Forest inventory using small-footprint airborne LiDAR. Topographic laser ranging and scanning: Principles and processing, pp. 335-370.
8. Jaakkola, A., Hyyppä, J., Kukko, A., Yu, X., Kaartinen, H., Lehtomäki, M. and Lin, Y., 2010. A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements. ISPRS journal of Photogrammetry and Remote Sensing, 65(6), pp. 514-522.
9. Kaartinen, H., Hyyppä, J., Kukko, A., Lehtomaki, M., Jaakkola, J., Vosselman, G., Elberink, S.O., Rutzinger, M., Pu, S. and Vaaja, M., 2013. Mobile mapping - Road environment mapping using mobile laser scanning. EuroSDR Official Publication, 62, pp. 49-95.
10. Kankare, V., Holopainen, M., Vastaranta, M., Puttonen, E., Yu, X., Hyyppä, J., Vaaja, M., Hyyppä, H. and Alho, P., 2013. Individual tree biomass estimation using terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 75, pp.64-75.
11. Kasa, I., 1976. A circle fitting procedure and its error analysis. IEEE Trans. Instrum. Meas, 25(1), pp. 8-14.
12. Krooks, A., Kaasalainen, S., Kankare, V., Joensuu, M., Raumonen, P. and Kaasalainen, M., 2014. Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models. Silva Fennica, 48(2).
13. Lehtomäki, M., Jaakkola, A., Hyyppä, J., Kukko, A. and Kaartinen, H., 2010. Detection of vertical pole-like objects in a road environment using vehicle-based laser scanning data. Remote Sensing, 2(3), pp. 641-664.
14. Liang, X., Hyyppä, J., Kankare, V. and Holopainen, M., 2011. Stem curve measurement using terrestrial laser scanning. In: Proceedings of 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems, pp. 1-6.
15. Liang, X., Litkey, P., Hyyppä, J., Kaartinen, H., Vastaranta, M. and Holopainen, M., 2012. Automatic stem mapping using single-scan terrestrial laser scanning. Geoscience and Remote Sensing, IEEE Transactions on, 50(2), pp. 661-670.
16. Liang, X., Kukko, A., Kaartinen, H., Hyyppä, J., Yu, X., Jaakkola, A. and Wang, Y., 2014. Possibilities of a personal laser scanning system for forest mapping and ecosystem services. Sensors, 14(1), pp. 1228-1248.
17. Liang, X., Kankare, V., Hyyppä, J., Wang, Y., Kukko, A., Haggrén, H., Yu, X., Kaartinen, H., Jaakkola, A., Guan, F. and Holopainen, M., 2016. Terrestrial laser scanning in forest inventories. ISPRS Journal of Photogrammetry and Remote Sensing, 115, pp. 63-77.
18. Maas, H. G., Bienert, A., Scheller, S. and Keane, E., 2008. Automatic forest inventory parameter determination from terrestrial laser scanner data. International journal of remote sensing, 29(5), pp. 1579-1593.
19. Mayer, H., 1987. Wind-induced tree sways. Trees, 1(4), pp. 195-206.
20. Pellikka, P. and Järvenpää, E., 2003. Forest stand characteristics and wind and snow induced forest damage in boreal forest. In Proceedings of the International Conference on Wind Effects on Trees, September, pp. 16-18.
21. Pfeifer, N. and Winterhalder, D., 2004. Modelling of tree cross sections from terrestrial laser scanning data with free-form curves. International Archives of Photogrammetry, remote sensing and spatial information sciences, 36(Part 8), W2.
22. Raumonen, P., Kaasalainen, M., Åkerblom, M., Kaasalainen, S., Kaartinen, H., Vastaranta, M., ⋯ and Lewis, P., 2013. Fast automatic precision tree models from terrestrial laser scanner data. Remote Sensing, 5(2), pp. 491-520.
23. Rutzinger, M., Pratihast, A. K., Oude Elberink, S., and Vosselman, G., 2010. Detection and modelling of 3D trees from mobile laser scanning data. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci, 38, pp. 520-525.
24. Schindler, D., Vogt, R., Fugmann, H., Rodriguez, M., Schönborn, J. and Mayer, H., 2010. Vibration behavior of plantation-grown Scots pine trees in response to wind excitation. Agricultural and forest meteorology, 150(7), pp. 984-993.
25. Schonborn, J., Schindler, D. and Mayer, H. 2009. Measuring vibrations of a single, solitary broadleaf tree. In Proceedings of the 2nd International Conference. Wind Effects on Trees, Mayer, H. and Schindler, D. (eds.), Albert-Ludwigs-University of Freiburg, Germany, pp. 135-139.
26. Tansey, K., Selmes, N., Anstee, A., Tate, N. J. and Denniss, A. 2009. Estimating tree and stand variables in a Corsican pine woodland from terrestrial laser scanner data. International Journal of Remote Sensing, 30(19), pp. 5195-5209.
27. Vanier, D. D., 2001. Why industry needs asset management tools. Journal of computing in civil engineering, 15(1), pp. 35-43.
28. Virtanen, J. P., Puustinen, T., Pennanen, K., Vaaja, M. T., Kurkela, M., Viitanen, K., Hyyppä, H. and Rönnholm, P., 2015. Customized visualizations of urban infill development scenarios for local stakeholders. Journal of Building Construction and Planning Research, 3(02), p. 68.
29. Watt, P. J. and Donoghue, D. N. M., 2005. Measuring forest structure with terrestrial laser scanning. International Journal of Remote Sensing, 26(7), pp. 1437-1446.