1,074
Views
3
CrossRef citations to date
0
Altmetric
Research Article

An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster

ORCID Icon, ORCID Icon, ORCID Icon, & ORCID Icon
Pages 1130-1150 | Received 22 Feb 2021, Accepted 20 Aug 2021, Published online: 08 Sep 2021

References

  • Aicardi, I., P. Dabove, A. M. Lingua, and M. Piras. 2016. “Integration between TLS and UAV Photogrammetry Techniques for Forestry Applications.” IForest-Biogeosciences and Forestry 10 (1): 41. SISEF-Italian Society of Silviculture and Forest Ecology. doihttps://doi.org/10.3832/ifor1780-009.
  • Alegria, C., and T. Margarida. 2011. “A Set of Models for Individual Tree Merchantable Volume Prediction for Pinus Pinaster Aiton in Central Inland of Portugal.” European Journal of Forest Research 130 (5): 871–879. Springer. doihttps://doi.org/10.1007/s10342-011-0479-3.
  • Bi, H., and Y. Long. 2001. “Flexible Taper Equation for Site-Specific Management of Pinus Radiata in New South Wales, Australia.” Forest Ecology and Management 148 (1–3): 79–91. Elsevier. doihttps://doi.org/10.1016/S0378-1127(00)00526-0.
  • Birant, D., and A. Kut. 2007. “ST-DBSCAN: An Algorithm for Clustering Spatial–Temporal Data.” Data & Knowledge Engineering 60 (1): 208–221. doi:https://doi.org/10.1016/j.datak.2006.01.013.
  • Burkhart, H. E. 1977. “Cubic-Foot Volume of Loblolly Pine to Any Merchantable Top Limit.” Southern Journal of Applied Forestry 1 (2): 7–9. Oxford University Press. doihttps://doi.org/10.1093/sjaf/1.2.7.
  • Cabo, C., A. Kukko, S. García-Cortés, H. Kaartinen, J. Hyyppä, and O. Celestino. 2016. “An Algorithm for Automatic Road Asphalt Edge Delineation from Mobile Laser Scanner Data Using the Line Clouds Concept.” Remote Sensing 8 (9): 740. doi:https://doi.org/10.3390/rs8090740.
  • Cabo, C., C. Ordóñez, C. A. López-Sánchez, and J. Armesto. 2018b. “Automatic Dendrometry: Tree Detection, Tree Height and Diameter Estimation Using Terrestrial Laser Scanning.” International Journal of Applied Earth Observation and Geoinformation 69: 164–174. doi:https://doi.org/10.1016/j.jag.2018.01.011.
  • Cabo, C., D. P. Susana, P. Rodríguez-Gonzálvez, C. Ordóñez, and G.-A. Diego. 2018a. “Comparing Terrestrial Laser Scanning (TLS) and Wearable Laser Scanning (WLS) for Individual Tree Modeling at Plot Level.” Remote Sensing 10 (4): 540. doi:https://doi.org/10.3390/rs10040540.
  • Calders, K., J. Adams, J. Armston, H. Bartholomeus, S. Bauwens, L. P. Bentley, J. Chave, F. M. Danson, M. Demol, and M. Disney. 2020. “Terrestrial Laser Scanning in Forest Ecology: Expanding the Horizon.” Remote Sensing of Environment 251: 112102. Elsevier. doi:https://doi.org/10.1016/j.rse.2020.112102.
  • Cao, Q. V., H. E. Burkhart, and T. A. Max. 1980. “Evaluation of Two Methods for Cubic-Volume Prediction of Loblolly Pine to Any Merchantable Limit.” Forest Science 26 (1): 71–80. Oxford University Press. doihttps://doi.org/10.1093/forestscience/26.1.71.
  • Chen, Y., S. Wei, L. Jing, and Z. Sun. 2009. “Hierarchical Object Oriented Classification Using Very High Resolution Imagery and LIDAR Data over Urban Areas.” Advances in Space Research 43 (7): 1101–1110. doi:https://doi.org/10.1016/j.asr.2008.11.008.
  • Clark, A., and C. E. Thomas. 1984. “Weight Equations for Southern Tree Species: Where We are and What Is Needed.„ In: Daniels R. F., and P. H. Dunhan (Eds.), Proceedings of the 1983 southern forest biomass workshop, USDA Forest Service, Southern Forest Experimental Station, Ashevile, Northern Carolina, 100–106.
  • Clutter, J. L. 1980. “Development of Taper Functions from Variable-Top Merchantable Volume Equations.” Forest Science 26 (1): 117–120. Oxford University Press.
  • Corral-Rivas, J., U. Javier, S. Diéguez-Aranda, C. Rivas, and F. C. Dorado. 2007. “A Merchantable Volume System for Major Pine Species in El Salto, Durango (Mexico).” Forest Ecology and Management 238 (1–3): 118–129. doi:https://doi.org/10.1016/j.foreco.2006.09.074.
  • Crecente-Campo, F., A. R. Alboreca, and D.-A. Ulises. 2009. “A Merchantable Volume System for Pinus Sylvestris L. In the Major Mountain Ranges of Spain.” Annals of Forest Science 66 (8): 808. doi:https://doi.org/10.1051/forest/2009078.
  • Dassot, M., A. Colin, P. Santenoise, M. Fournier, and T. Constant. 2012. “Terrestrial Laser Scanning for Measuring the Solid Wood Volume, Including Branches, of Adult Standing Trees in the Forest Environment.” Computers and Electronics in Agriculture 89: 86–93. doi:https://doi.org/10.1016/j.compag.2012.08.005.
  • Demaerschalk, J. P. 1972. “Converting Volume Equations to Compatible Taper Equations.” Forest Science 18 (3): 241–245. doi:https://doi.org/10.1093/forestscience/18.3.241.
  • Fang, Z., B. E. Borders, and R. L. Bailey. 2000. “Compatible Volume-Taper Models for Loblolly and Slash Pine Based on a System with Segmented-Stem Form Factors.” Forest Science 46 (1): 1–12. doi:https://doi.org/10.1093/forestscience/46.1.1.
  • Faro. 2018. http://www.faro.com (Accessed 31 April 2019).
  • Fröhlich, C., and M. Mettenleiter. 2004. “Terrestrial Laser Scanning—New Perspectives in 3D Surveying.” International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 36 (Part 8): W2.
  • Gabriel, R. S. 2017. “The Use of Terrestrial Laser Scanning and Computer Vision in Tree Level Modelling.” Master Thesis. Oregon State University.
  • González, Á., J. Gabriel, V. G. Klaus, and P. R. Hermosilla. 2001. “Modelización Del Crecimiento y La Evolución de Bosques.” IUFRO World Series 12: 242.
  • Hackenberg, J., C. Morhart, J. Sheppard, H. Spiecker, and M. Disney. 2014. “Highly Accurate Tree Models Derived from Terrestrial Laser Scan Data: A Method Description.” Forests 5 (5): 1069–1105. doi:https://doi.org/10.3390/f5051069.
  • Hadas, E., A. Borkowski, J. Estornell, and P. Tymkow. 2017. “Automatic Estimation of Olive Tree Dendrometric Parameters Based on Airborne Laser Scanning Data Using Alpha-Shape and Principal Component Analysis.” GIScience & Remote Sensing 54 (6): 898–917. Taylor & Francis. doihttps://doi.org/10.1080/15481603.2017.1351148.
  • Hauglin, M., T. Gobakken, R. Astrup, L. Ene, and E. Na esset. 2014. “Estimating Single-Tree Crown Biomass of Norway Spruce by Airborne Laser Scanning: A Comparison of Methods with and without the Use of Terrestrial Laser Scanning to Obtain the Ground Reference Data.” Forests 5 (3): 384–403. doi:https://doi.org/10.3390/f5030384.
  • Henning, J. G., and P. J. Radtke. 2006. “Detailed Stem Measu rements of Standing Trees from Ground-Based Scanning Lidar.” Forest Science 52 (1): 67–80. doi:https://doi.org/10.1093/forestscience/52.1.67.
  • Hollaus, M., M. Mokroš, and Y. Wang. 2019. “International Benchmarking of Terrestrial Image-Based Point Clouds for Forestry.” In European Geosciences Union, General Assembly 2019, Vienna. Geophysical Research Abstracts, 21: 1–1.
  • Holopainen, M., M. Vastaranta, V. Kankare, M. Räty, M. Vaaja, X. Liang, X. Yu, J. Hyyppä, H. Hyyppä, and R. Viitala. 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: 91–95. doi:https://doi.org/10.5194/isprsarchives-XXXVIII-5-W12-91-2011.
  • Jung, S.-E., D.-A. Kwak, T. Park, W.-K. Lee, and S. Yoo. 2011. “Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners.” Remote Sensing 3 (11): 2346–2363. doi:https://doi.org/10.3390/rs3112346.
  • Kankare, V., J. Vauhkonen, T. Tanhuanpää, M. Holopainen, M. Vastaranta, M. Joensuu, A. Krooks, J. Hyyppä, H. Hyyppä, and P. Alho. 2014. “Accuracy in Estimation of Timber Assortments and Stem Distribution–A Comparison of Airborne and Terrestrial Laser Scanning Techniques.” ISPRS Journal of Photogrammetry and Remote Sensing 97: 89–97. doi:https://doi.org/10.1016/j.isprsjprs.2014.08.008.
  • Larsen, D. R. 2017. “Simple Taper: Taper Equations for the Field Forester.” In: J. M. Kabrick, D. C. Dey, B. O. Knapp, D. R. Larsen, S. R. Shifley, and H. E. Stelzer, Eds. Proceedings of the 20th Central Hardwood Forest Conference; 2016 March 28-April 1; Columbia, MO. General Technical Report NRS-P-167. Newtown Square, PA: US Department of Agriculture, Forest Service, Northern Research Station, 265-278, 265–278.
  • LaRue, E. A., F. W. Wagner, S. Fei, J. W. Atkins, R. T. Fahey, C. M. Gough, and B. S. Hardiman. 2020. “Compatibility of Aerial and Terrestrial LiDAR for Quantifying Forest Structural Diversity.” Remote Sensing 12 (9): 1407. Multidisciplinary Digital Publishing Institute. doihttps://doi.org/10.3390/rs12091407.
  • Laurin, G. V., N. Puletti, W. Hawthorne, V. Liesenberg, P. Corona, D. Papale, Q. Chen, and R. Valentini. 2016. “Discrimination of Tropical Forest Types, Dominant Species, and Mapping of Functional Guilds by Hyperspectral and Simulated Multispectral Sentinel-2 Data.” Remote Sensing of Environment 176: 163–176. doi:https://doi.org/10.1016/j.rse.2016.01.017.
  • Li, L., M. Xihan, M. Soma, P. Wan, Q. Jianbo, H. Ronghai, W. Zhang, Y. Tong, and G. Yan. 2020. “An Iterative-Mode Scan Design of Terrestrial Laser Scanning in Forests for Minimizing Occlusion Effects.” IEEE Transactions on Geoscience and Remote Sensing. IEEE. doi:https://doi.org/10.1109/TGRS.2020.3018643.
  • Liang, X., and J. Hyyppä. 2013. “Automatic Stem Mapping by Merging Several Terrestrial Laser Scans at the Feature and Decision Levels.” Sensors 13 (2): 1614–1634. Multidisciplinary Digital Publishing Institute.
  • Liang, X., J. Hyyppä, A. Kukko, H. Kaartinen, A. Jaakkola, and Y. Xiaowei. 2014. “The Use of a Mobile Laser Scanning System for Mapping Large Forest Plots.” IEEE Geoscience and Remote Sensing Letters 11 (9): 1504–1508. IEEE. doihttps://doi.org/10.1109/LGRS.2013.2297418.
  • Liang, X., J. Hyyppä, H. Kaartinen, M. Holopainen, and T. Melkas. 2012. “Detecting Changes in Forest Structure over Time with Bi-Temporal Terrestrial Laser Scanning Data.” ISPRS International Journal of Geo-Information 1 (3): 242–255. Multidisciplinary Digital Publishing Institute. doihttps://doi.org/10.3390/ijgi1030242.
  • Liang, X., J. Hyyppä, H. Kaartinen, M. Lehtomäki, J. Pyörälä, N. Pfeifer, M. Holopainen, G. Brolly, P. Francesco, and J. Hackenberg. 2018. “International Benchmarking of Terrestrial Laser Scanning Approaches for Forest Inventories.” ISPRS Journal of Photogrammetry and Remote Sensing 144: 137–179. doi:https://doi.org/10.1016/j.isprsjprs.2018.06.021.
  • Liang, X., V. Kankare, J. Hyyppä, Y. Wang, A. Kukko, H. Haggrén, and Y. Xiaowei. 2016. “Terrestrial Laser Scanning in Forest Inventories.” ISPRS Journal of Photogrammetry and Remote Sensing 115 (May): 63–77. Theme issue “State-of-the-art in photogrammetry, remote sensing and spatial information science”. doihttps://doi.org/10.1016/j.isprsjprs.2016.01.006.
  • Maas, H.-G., A. Bienert, S. Scheller, and E. Keane. 2008. “Automatic Forest Inventory Parameter Determination from Terrestrial Laser Scanner Data.” International Journal of Remote Sensing 29 (5): 1579–1593. doi:https://doi.org/10.1080/01431160701736406.
  • Marchi, M., R. Scotti, G. Rinaldini, and P. Cantiani. 2020. “Taper Function for Pinus Nigra in Central Italy: Is a More Complex Computational System Required?.” Forests 11 (4): 405. doi:https://doi.org/10.3390/f11040405.
  • Menéndez-Miguélez, M., E. Canga, P. Álvarez-Álvarez, and J. Majada. 2014. “Stem Taper Function for Sweet Chestnut (Castanea Sativa Mill.) Coppice Stands in Northwest Spain.” Annals of Forest Science 71 (7): 761–770. doi:https://doi.org/10.1007/s13595-014-0372-6.
  • Mengesha, T., M. Hawkins, and M. Nieuwenhuis. 2015. “Validation of Terrestrial Laser Scanning Data Using Conventional Forest Inventory Methods.” European Journal of Forest Research 134 (2): 211–222. Springer. doihttps://doi.org/10.1007/s10342-014-0844-0.
  • Mohammed, H. I., Z. Majid, and L. N. Izah. 2018. “Terrestrial Laser Scanning for Tree Parameters Inventory.” IOP Conference Series: Earth and Environmental Science, Kuala Lumpur, Malaysia; 169, (July), 012096. doi: https://doi.org/10.1088/1755-1315/169/1/012096.
  • Morales-Hidalgo, D., C. Kleinn, and C. T. Scott. 2017. Voluntary Guidelines on National Forest Monitoring. FAO.
  • Newnham, R. M. 1992. “Variable-Form Taper Functions for Four Alberta Tree Species.” Canadian Journal of Forest Research 22 (2): 210–223. doi:https://doi.org/10.1139/x92-028.
  • Olofsson, K., and J. Holmgren. 2016. “Single Tree Stem Profile Detection Using Terrestrial Laser Scanner Data, Flatness Saliency Features and Curvature Properties.” Forests 7 (12): 207. doi:https://doi.org/10.3390/f7090207.
  • Oviedo-de, L. F., C. C. Manuel, C. Ordóñez, and R.-P. Javier. 2021. “A Distance Correlation Approach for Optimum Multiscale Selection in 3D Point Cloud Classification.” Mathematics 9 (12): 1328. doi:https://doi.org/10.3390/math9121328.
  • Pang, L., M. Yongpeng, R. P. Sharma, S. Rice, X. Song, and F. Liyong. 2016. “Developing an Improved Parameter Estimation Method for the Segmented Taper Equation through Combination of Constrained Two-Dimensional Optimum Seeking and Least Square Regression.” Forests 7 (9): 194. Multidisciplinary Digital Publishing Institute. doihttps://doi.org/10.3390/f7090194.
  • Parresol, B. R., J. E. Hotvedt, and Q. V. Cao. 1987. “A Volume and Taper Prediction System for Bald Cypress.” Canadian Journal of Forest Research 17 (3): 250–259. doi:https://doi.org/10.1139/x87-042.
  • Pfeifer, N., and D. Winterhalder. 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.
  • Picard, N., L. Saint-André, and M. Henry. 2012. Manual for Building Tree Volume and Biomass Allometric Equations: From Field Measurement to Prediction. FAO/CIRAD.
  • Pitkänen, T. P., P. Raumonen, and A. Kangas. 2019. “Measuring Stem Diameters with TLS in Boreal Forests by Complementary Fitting Procedure.” ISPRS Journal of Photogrammetry and Remote Sensing 147: 294–306. Elsevier. doi:https://doi.org/10.1016/j.isprsjprs.2018.11.027.
  • Puletti, N., M. Grotti, C. Ferrara, and F. Chianucci. 2020. “Lidar-Based Estimates of Aboveground Biomass through Ground, Aerial, and Satellite Observation: A Case Study in A Mediterranean Forest.” Journal of Applied Remote Sensing 14 (4): 044501. International Society for Optics and Photonics. doihttps://doi.org/10.1117/1.JRS.14.044501.
  • Raumonen, P., E. Casella, K. Calders, S. Murphy, M. Ȧkerblom, and M. Kaasalainen. 2015. “Massive-scale Tree Modelling from TLS Data.” ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences 2:  189–196.
  • Reed, D. D., and E. J. Green. 1984. “Compatible Stem Taper and Volume Ratio Equations.” Forest Science 30 (4): 977–990. Oxford University Press. doihttps://doi.org/10.1093/forestscience/30.4.977.
  • Rodríguez, F., I. L. Torre, and F. B. Oviedo. 2015. Comparison of Stem Taper Equations for Eight Major Tree Species in the Spanish Plateau. European Journal of Forest Research 133(2):213–223. Springer. Forest Systems 24 (3). Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA): 2Rodriguez, Francisco, Inigo Lizarralde, Alfredo Fernández-Landa, and Sonia Condés. 2014. “Non-Destructive Measurement Techniques for Taper Equation Development: A Study Case in the Spanish Northern Iberian Range”.
  • RTA2017-00063-C04-02.2017. Research project: Evaluation of relevant characters for the sustainable management of Pinus Pinaster Ait. and its interaction with new climate scenarios. INIA. (National Institute of Agrarian Research). Principal investigator: Juan Pedro Majada Guijo.
  • Saarinen, N., V. Kankare, J. Pyörälä, T. Yrttimaa, X. Liang, M. A. Wulder, M. Holopainen, J. Hyyppä, and M. Vastaranta. 2019. “Assessing the Effects of Sample Size on Parametrizing a Taper Curve Equation and the Resultant Stem-Volume Estimates.” Forests 10 (10): 848. doi:https://doi.org/10.3390/f10100848.
  • SADEI. 2018. Statistical Yearbook of Asturias. Asturian Institute of Statistics. Oviedo: Regional Ministry of Rural Development and Natural Resources, Government of the Principality of Asturias.
  • Spurr, S. H. 1952. “Forest Inventory.” New York: Ronald Press.
  • Sun, Y., X. Liang, Z. Liang, C. Welham, and L. Weizheng. 2016. “Deriving Merchantable Volume in Poplar through a Localized Tapering Function from Non-Destructive Terrestrial Laser Scanning.” Forests 7 (4): 87. doi:https://doi.org/10.3390/f7040087.
  • Teshome, T. 2005. “A Ratio Method for Predicting Stem Merchantable Volume and Associated Taper Equations for Cupressus Lusitanica, Ethiopia.” Forest Ecology and Management 204 (2–3): 171–179. Elsevier. doihttps://doi.org/10.1016/j.foreco.2004.07.064.
  • Thies, M., N. Pfeifer, D. Winterhalder, and B. G. H. Gorte. 2004. “Three-Dimensional Reconstruction of Stems for Assessment of Taper, Sweep and Lean Based on Laser Scanning of Standing Trees.” Scandinavian Journal of Forest Research 19 (6): 571–581. doi:https://doi.org/10.1080/02827580410019562.
  • Tiago, D. C., K. Olofsson, E. B. Görgens, L. Carlos, E. Rodriguez, and G. Almeida. 2017. “Performance of Stem Denoising and Stem Modelling Algorithms on Single Tree Point Clouds from Terrestrial Laser Scanning.” Computers and Electronics in Agriculture 143: 165–176. doi:https://doi.org/10.1016/j.compag.2017.10.019.
  • Tian, J., T. Dai, L. Haidong, C. Liao, W. Teng, H. Qingwu, M. Weibo, and X. Yannan. 2019. “A Novel Tree Height Extraction Approach for Individual Trees by Combining TLS and UAV Image-Based Point Cloud Integration.” Forests 10 (7): 537. Multidisciplinary Digital Publishing Institute. doihttps://doi.org/10.3390/f10070537.
  • Torresan, C., F. Pelleri, M. C. Manetti, C. Becagli, C. Castaldi, M. Notarangelo, and U. Chiavetta. 2021. “Comparison of TLS against Traditional Surveying Method for Stem Taper Modelling. A Case Study in European Beech (Fagus Sylvatica L.) Forests of Mount Amiata.” Annals of Silvicultural Research 46: 2.
  • Trincado, G., and H. E. Burkhart. 2006. “A Generalized Approach for Modeling and Localizing Stem Profile Curves.” Forest Science 52 (6): 670–682. doi:https://doi.org/10.1093/forestscience/52.6.670.
  • Trincado, G., V. G. Klaus, and V. Sandoval. 1997. “Estimación de Volumen Comercial En Latifoliadas.” Bosque 18 (1): 39–44. doi:https://doi.org/10.4206/bosque.1997.v18n1-05.
  • Van Deusen, P. C., A. D. Sullivan, and T. G. Matvey. 1981. “A Prediction System for Cubic Foot Volume of Loblolly Pine Applicable through Much of Its Range.” Southern Journal of Applied Forestry 5 (4): 186–189. Oxford University Press. doihttps://doi.org/10.1093/sjaf/5.4.186.
  • Westfall, J. A., and C. T. Scott. 2010. “Taper Models for Commercial Tree Species in the Northeastern United States.” Forest Science 56 (6): 515–528. Oxford University Press.
  • You, L., S. Tang, X. Song, Y. Lei, H. Zang, M. Lou, and C. Zhuang. 2016. “Precise Measurement of Stem Diameter by Simulating the Path of Diameter Tape from Terrestrial Laser Scanning Data.” Remote Sensing 8 (9): 717. doi:https://doi.org/10.3390/rs8090717.
  • Yousefpour, M., F. Fadaie Khoshkebijary, A. Fallah, and F. Naghavi. 2012. “Volume Equation and Volume Table of Pinus Pinaster Ait.” International Research Journal of Applied and Basic Sciences 3 (5): 1072–1076.
  • Yu, X., X. Liang, J. Hyyppä, V. Kankare, M. Vastaranta, and M. Holopainen. 2013. “Stem Biomass Estimation Based on Stem Reconstruction from Terrestrial Laser Scanning Point Clouds.” Remote Sensing Letters 4 (4): 344–353. doi:https://doi.org/10.1080/2150704X.2012.734931.
  • Zong, X., T. Wang, A. K. Skidmore, and M. Heurich. 2021. “The Impact of Voxel Size, Forest Type, and Understory Cover on Visibility Estimation in Forests Using Terrestrial Laser Scanning.” GIScience & Remote Sensing 0 (0): 1–17. Taylor & Francis. doihttps://doi.org/10.1080/15481603.2021.1873588.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.