Does tree architectural complexity influence the accuracy of wood volume estimates of single young trees by terrestrial laser scanning?

Forests

Volumn 6, Issue 11, 2015, Pages 3847-3867

  Hess, Carsten ^a   Bienert, Anne ^b   Härdtle, Werner ^a   Von Oheimb, Goddert ^b  

^a LEUPHANA UNIVERSITY OF LÜNEBURG   (Germany)

^b DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Bounding box; Structural complexity; Tree architecture; Xylometric measurement; Young trees

Indexed keywords

ARCHITECTURE; LASER APPLICATIONS; SCANNING; STEEL BEAMS AND GIRDERS; SURFACE ANALYSIS; SURVEYING INSTRUMENTS; VOLUME MEASUREMENT;

ACER PSEUDOPLATANUS; BOUNDING BOX; STEPWISE MULTIPLE REGRESSION; STRUCTURAL COMPLEXITY; STRUCTURAL VARIABILITY; TERRESTRIAL LASER SCANNING; TREE ARCHITECTURES; YOUNG TREES;

FORESTRY;

ACCURACY ASSESSMENT; COMPLEXITY; DECIDUOUS TREE; ESTIMATION METHOD; PLANT ARCHITECTURE; REMOTE SENSING; VOLUME; WOOD;

ACER PSEUDOPLATANUS; BETULA PENDULA; SORBUS AUCUPARIA;

EID: 84949496292     PISSN: None     EISSN: 19994907     Source Type: Journal    
DOI: 10.3390/f6113847     Document Type: Article

References (33)

1. Wagner, S.; Huth, F.; Mohren, F.; Herrmann, I. Silvicultural systems and multiple service forestry. In Integrative Approaches as an Opportunity for the Conservation of Forest Biodiversity; Kraus, D., Krumm, F., Eds.; European Forest Institute: Freiburg, German, 2013, pp. 64-73.
2. Wutzler, T.; Wirth, C.; Schumacher, J. Generic biomass functions for Common beech (Fagus sylvatica L.) in Central Europe: Predictions and components of uncertainty. Can. J. For. Res. 2008, 38, 1661-1675.
3. Kramer, H.; Akça, A. Leitfaden zur Waldmesslehre, 5th ed; J. D. Sauerländers Verlag: Frankfurt am Main, Germany, 2008.
4. Zianis, D.; Muukkonen, P.; Makipaa, R.; Mencuccini, M. Biomass and stem volume equations for tree species in Europe. Silva Fennica Monographs 2005, 4, 1-2, 5-63.
5. Van Breugel, M.; Ransijn, J.; Craven, D.; Bongers, F.; Hall, J.S. Estimating carbon stock in secondary forests: Decisions and uncertainties associated with allometric biomass models. For. Ecol. Manag. 2011, 262, 1648-1657.
6. Ketterings, Q.M.; Coe, R.; van Noordwijk, M.; Ambagau', Y.; Palm, C.A. Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests. For. Ecol. Manag. 2001, 146, 199-209.
7. Kaasalainen, S.; Krooks, A.; Liski, J.; Raumonen, P.; Kaartinen, H.; Kaasalainen, M.; Puttonen, E.; Anttila, K.; Mäkipää, R. Change Detection of Tree Biomass with Terrestrial Laser Scanning and Quantitative Structure Modelling. Rem. Sens. 2014, 6, 3906-3922.
8. Pretzsch, H. Canopy space filling and tree crown morphology in mixed-species stands compared with monocultures. For. Ecol. Manag. 2014, 327, 251-264.
9. Fleck, S.; Mölder, I.; Jacob, M.; Gebauer, T.; Jungkunst, H.F.; Leuschner, C. Comparison of conventional eight-point crown projections with LIDAR-based virtual crown projections in a temperate old-growth forest. Ann. For. Sci. 2011, 68, 1173-1185.
10. Hopkinson, C.; Chasmer, L.E.; Zsigovics, G.; Creed, I.F.; Sitar, M.; Treitz, P.; Maher, R.V. Errors in LiDAR ground elevation and wetland vegetation height estimates. ISPRS Int. Arch. Photogramm. Rem. Sens. Spat. Inf. Sci. 2004, XXXVI-8/W2, 108-113.
11. Moskal, L.M.; Zheng, G. Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest. Rem. Sens. 2012, 4, 1-20.
12. Maas, H.-G.; Bienert, A.; Scheller, S.; Keane, E. Automatic forest inventory parameter determination from terrestrial laser scanner data. Int. J. Rem. Sens. 2008, 29, 1579-1593.
13. Li, Y.; Hess, C.; von Wehrden, H.; Härdtle, W.; von Oheimb, G. Assessing tree dendrometrics in young regenerating plantations using terrestrial laser scanning. Ann. For. Sci. 2014, 71, 453-462.
14. Seidel, D.; Beyer, F.; Hertel, D.; Fleck, S.; Leuschner, C. 3D-laser scanning: A non-destructive method for studying above-ground biomass and growth of juvenile trees. Agr. For. Meteorol. 2011, 151, 1305-1311.
15. Dassot, M.; Colin, A.; Santenoise, P.; Fournier, M.; Constant, T. Terrestrial laser scanning for measuring the solid wood volume, including branches, of adult standing trees in the forest environment. Comp. Elec. Agr. 2012, 89, 86-93.
16. Bienert, A.; Hess, C.; Maas, H.-G.; von Oheimb, G. A voxel-based technique to estimate the volume of trees from terrestrial laser scanner data. ISPRS Int. Arch. Photogramm. Rem. Sens. Spat. Inf. Sci. 2014, XL-5, 101-106.
17. Hackenberg, J.; Morhart, C.; Sheppard, J.; Spiecker, H.; Disney, M. Highly Accurate Tree Models Derived from Terrestrial Laser Scan Data: A Method Description. Forests 2014, 5, 1069-1105.
18. Vonderach, C.; Vögtle, T.; Adler, P.; Norra, S. Terrestrial laser scanning for estimating urban tree volume and carbon content. Int. J. Rem. Sens. 2012, 33, 6652-6667.
19. Hosoi, F.; Nakai, Y.; Omasa, K. 3-D voxel-based solid modeling of a broad-leaved tree for accurate volume estimation using portable scanning LIDAR. ISPRS J. Photogramm. Rem. Sens. 2013, 82, 41-48.
20. Gorte, B.; Winterhalder, D. Reconstruction of Laser-Scanned Trees using Filter Operations in the 3D-Raster Domain. ISPRS Int. Arch. Photogramm. Rem. Sens. Spat. Inf. Sci. 2004, XXXVI-8/W2, 39-44.
21. Pfeifer, N.; Gorte, B.; Winterhalder, D. Automatic Reconstruction of Single Trees from Terrestrial Laser Scanner Data. ISPRS Int. Arch. Photogramm. Rem. Sens. Spat. Inf. Sci. 2004, XXXV Part B5, 114-119.
22. Raumonen, P.; Kaasalainen, M.; Åkerblom, M.; Kaasalainen, S.; Kaartinen, H.; Vastaranta, M.; Holopainen, M.; Disney, M.; Lewis, P. Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data. Rem. Sens. 2013, 5, 491-520.
23. Pueschel, P.; Newnham, G.J.; Rock, G.; Udelhoven, T.; Werner, W.; Hill, J. The influence of scan mode and circle fitting on tree stem detection, stem diameter and volume extraction from terrestrial laser scans. ISPRS J. Photogramm. Rem. Sens. 2013, 77, 44-56.
24. Liang, X.; Kankare, V.; X.W. Yu; Hyyppa, J.; Holopainen, M. Automated Stem Curve Measurement Using Terrestrial Laser Scanning. IEEE Trans. Geosci. Remote Sens. 2014, 52, 1739-1748.
25. Astrup, R.; Ducey, M.J.; Granhus, A.; Ritter, T.; von Lüpke, N. Approaches for estimating stand-level volume using terrestrial laser scanning in a single-scan mode. Can. J. For. Res. 2014, 44, 666-676.
26. Calders, K.; Newnham, G.; Burt, A.; Murphy, S.; Raumonen, P.; Herold, M.; Culvenor, D.; Avitabile, V.; Disney, M.; Armston, J.; et al. Nondestructive estimates of above-ground biomass using terrestrial laser scanning. Meth. Ecol. Evol. 2015, 6, 198-208.
27. Bucksch, A.; Fleck, S. Automated detection of branch dimensions in woody skeletons of leafless fruit tree canopies. Photogramm. Eng. Rem. Sens. 2011, 229-240.
28. Hackenberg, J.; Wassenberg, M.; Spiecker, H.; Sun, D. Non Destructive Method for Biomass Prediction Combining TLS Derived Tree Volume and Wood Density. Forests 2015, 6, 1274-1300.
29. Pueschel, P. The influence of scanner parameters on the extraction of tree metrics from FARO Photon 120 terrestrial laser scans. ISPRS J. Photogramm. Rem. Sens. 2013, 78, 58-68.
30. FARO Technologies Inc. FARO Laser Scanner Photon 20/120: User's Manual, FARO Technologies Inc.: Korntal-Münchingen, Germany, 2010.
31. Team R.C. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2015.
32. Bucksch, A.; Khoshelham, K. Localized Registration of Point Clouds of Botanic Trees. IEEE Geosci. Rem. Sens. Lett. 2013, 10, 631-635.
33. Bienert, A.; Maas, H.-G. Methods for the automatic geometric registration of terrestrial laser scanner point clouds in forest stands. ISPRS Int. Arch. Photogramm. Rem. Sens. Spat. Inf. Sci. 2009, XXXVIII-3/W8, 93-98.