{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T05:27:09Z","timestamp":1773725229342,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2021,9,10]],"date-time":"2021-09-10T00:00:00Z","timestamp":1631232000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"EVA4.0","award":["CZ.02.1.01\/0.0\/0.0\/16_019\/0000803"],"award-info":[{"award-number":["CZ.02.1.01\/0.0\/0.0\/16_019\/0000803"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Simple and accurate determination of merchantable tree height is needed for accurate estimations of merchantable volume. Conventional field methods of forest inventory can lead to biased estimates of tree height and diameter, especially in complex forest structures. Terrestrial laser scanner (TLS) data can be used to determine merchantable height and diameter at different heights with high accuracy and detail. This study focuses on the use of the random sampling consensus method (RANSAC) for generating the length and diameter of logs to estimate merchantable volume at the tree level using Huber\u2019s formula. For this study, we used two plots; plot A contained deciduous trees and plot B consisted of conifers. Our results demonstrated that the TLS-based outputs for stem modelling using the RANSAC method performed very well with low bias (0.02 for deciduous and 0.01 for conifers) and a high degree of accuracy (97.73% for deciduous and 96.14% for conifers). We also found a high correlation between the proposed method and log length (\u22120.814 for plot A and \u22120.698 for plot B), which is an important finding because this information can be used to determine the optimum log properties required for analyzing stem curvature changes at different heights. Furthermore, the results of this study provide insight into the applicability and ergonomics during data collection from forest inventories solely from terrestrial laser scanning, thus reducing the need for field reference data.<\/jats:p>","DOI":"10.3390\/rs13183610","type":"journal-article","created":{"date-parts":[[2021,9,12]],"date-time":"2021-09-12T21:48:01Z","timestamp":1631483281000},"page":"3610","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Reliable Estimates of Merchantable Timber Volume from Terrestrial Laser Scanning"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5937-3341","authenticated-orcid":false,"given":"Dimitrios","family":"Panagiotidis","sequence":"first","affiliation":[{"name":"Faculty of Forestry and Wood Sciences, Czech University of Life Sciences (CZU Prague), Kam\u00fdck\u00e1 129, 165 21 Prague, Czech Republic"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4065-8056","authenticated-orcid":false,"given":"Azadeh","family":"Abdollahnejad","sequence":"additional","affiliation":[{"name":"Faculty of Forestry and Wood Sciences, Czech University of Life Sciences (CZU Prague), Kam\u00fdck\u00e1 129, 165 21 Prague, Czech Republic"}]}],"member":"1968","published-online":{"date-parts":[[2021,9,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Bauwens, S., Bartholomeus, H., Calders, K., and Lejeune, P. (2016). Forest Inventory with Terrestrial LiDAR: A Comparison of Static and Hand-Held Mobile Laser Scanning. Forests, 7.","DOI":"10.3390\/f7060127"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Sun, Y., Liang, X., Liang, Z., Welham, C., and Li, W. (2016). Deriving Merchantable Volume in Poplar through a Localized Tapering Function from Non-Destructive Terrestrial Laser Scanning. Forests, 7.","DOI":"10.3390\/f7040087"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.isprsjprs.2018.11.008","article-title":"Is field-measured tree height as reliable as believed\u2014A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning in a boreal forest","volume":"147","author":"Wang","year":"2019","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"111309","DOI":"10.1016\/j.rse.2019.111309","article-title":"In situ biomass estimation at tree and plot levels: What did data record and what did algorithms derive from terrestrial and aerial point clouds in boreal forest","volume":"232","author":"Wang","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Forsman, M., B\u00f6rlin, N., and Holmgren, J. (2016). Estimation of tree stem attributes using terrestrial photogrammetry with a camera rig. Forests, 7.","DOI":"10.3390\/f7030061"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.foreco.2004.09.020","article-title":"Evaluation of the laser-relascope","volume":"204","author":"Kalliovirta","year":"2005","journal-title":"For. Ecol. Manag."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1284","DOI":"10.1016\/j.jenvman.2018.09.100","article-title":"Factors influencing the accuracy of ground-based tree height measurements for major European tree species","volume":"231","author":"Mielcarek","year":"2019","journal-title":"J. Environ. Manag."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Panagiotidis, D., Abdollahnejad, A., and Slav\u00edk, M. (2021). Assessment of Stem Volume on Plots Using Terrestrial Laser Scanner: A Precision Forestry Application. Sensors, 21.","DOI":"10.3390\/s21010301"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1007\/BF02760304","article-title":"Representation of tree stem taper curves and their dynamic, using a linear model and the centroaffine transformation","volume":"3","author":"Gaffrey","year":"1998","journal-title":"J. For. Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2755","DOI":"10.1016\/j.biombioe.2011.03.012","article-title":"Comparison of the performance of several hybrid poplar clones and their potential suitability for use in northern China","volume":"35","author":"Gong","year":"2011","journal-title":"Biomass Bioenerg."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"741","DOI":"10.5558\/tfc2013-136","article-title":"Sensitivity of predictions of merchantable tree height, log production, and lumber recovery to tree taper","volume":"89","author":"Chao","year":"2013","journal-title":"For. Chron."},{"key":"ref_12","first-page":"464","article-title":"Additively on nonlinear stem taper functions: A case for Corsican pine in Northern Spain","volume":"59","year":"2013","journal-title":"For. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1093\/njaf\/27.2.50","article-title":"Evaluating height\u2013age determination methods for jack pine and black spruce plantations using stem analysis data","volume":"27","author":"Subedi","year":"2010","journal-title":"North. J. Appl. For."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.foreco.2013.01.007","article-title":"Response of ecosystem carbon fluxes to drought events in a poplar plantation in Northern China","volume":"300","author":"Zhou","year":"2013","journal-title":"For. Ecol. Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"357","DOI":"10.17221\/92\/2015-JFS","article-title":"Accuracy of Structure from Motion models in comparison with terrestrial laser scanner for the analysis of DBH and height influence on error behaviour","volume":"62","author":"Panagiotidis","year":"2016","journal-title":"J. For. Sci."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Cabo, C., Del Pozo, S., Rodr\u00edguez-Gonz\u00e1lvez, P., Ord\u00f3\u00f1ez, C., and Gonz\u00e1lez-Aguilera, D. (2018). Comparing Terrestrial Laser Scanning (TLS) and Wearable Laser Scanning (WLS) for Individual Tree Modeling at Plot Level. Remote Sens., 10.","DOI":"10.3390\/rs10040540"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Liu, G., Wang, J., Dong, P., Chen, Y., and Liu, Z. (2018). Estimating Individual Tree Height and Diameter at Breast Height (DBH) from Terrestrial Laser Scanning (TLS) Data at Plot Level. Forests, 9.","DOI":"10.3390\/f9070398"},{"key":"ref_18","first-page":"86","article-title":"Terrestrial laser scanning for measuring the solid wood volume, including branches, of adult standing trees in the forest environment","volume":"89","author":"Dassot","year":"2012","journal-title":"Electron. Agricult."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Iizuka, K., Hayakawa, Y.S., Ogura, T., Nakata, Y., Kosugi, Y., and Yonehara, T. (2020). Integration of Multi-Sensor Data to Estimate Plot-Level Stem Volume Using Machine Learning Algorithms\u2013Case Study of Evergreen Conifer Planted Forests in Japan. Remote Sens., 12.","DOI":"10.3390\/rs12101649"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Panagiotidis, D., and Abdollahnejad, A. (2021). Accuracy Assessment of Total Stem Volume Using Close-Range Sensing: Advances in Precision Forestry. Forests, 12.","DOI":"10.3390\/f12060717"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1111\/2041-210X.12933","article-title":"Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach","volume":"9","author":"Ploton","year":"2018","journal-title":"Methods Ecol. Evol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1111\/2041-210X.12904","article-title":"Estimation of above-ground biomass of large tropical trees with terrestrial LiDAR","volume":"9","author":"Lau","year":"2018","journal-title":"Methods Ecol. Evol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1219","DOI":"10.1007\/s00468-018-1704-1","article-title":"Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling","volume":"32","author":"Lau","year":"2018","journal-title":"Trees"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.compag.2013.01.012","article-title":"Residual biomass calculation from individual tree architecture using terrestrial laser scanner and groundlevel measurements","volume":"93","author":"Sajdak","year":"2013","journal-title":"Comput. Electron. Agric."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.isprsjprs.2019.03.007","article-title":"Detecting and characterizing downed dead wood using terrestrial laser scanning","volume":"151","author":"Yrttimaa","year":"2019","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Amiri, N., Polewski, P., Yao, W., Krzystek, P., and Skidmore, A.K. (2017, January 18\u201322). Detection of Single Tree Stems in Forested Areas from High Density ALS Point Clouds Using 3d Shape Descriptors. Proceedings of the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Wuhan, China.","DOI":"10.5194\/isprs-annals-IV-2-W4-35-2017"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4323","DOI":"10.3390\/rs6054323","article-title":"Tree Stem and Height Measurements using Terrestrial Laser Scanning and the RANSAC Algorithm","volume":"6","author":"Olofsson","year":"2014","journal-title":"Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.isprsjprs.2014.05.012","article-title":"Automated registration of dense terrestrial laser-scanning point clouds using curves","volume":"3","author":"Yang","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.isprsjprs.2016.05.007","article-title":"Dynamic occlusion detection and inpainting of in situ captured terrestrial laser scanning point clouds sequence","volume":"119","author":"Chen","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Chen, S., Liu, H., Feng, Z., Shen, C., and Chen, P. (2019). Applicability of personal laser scanning in forestry inventory. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0211392"},{"key":"ref_31","unstructured":"(2019, October 12). Trimble RealWorks 10.2 User Guide. Available online: https:\/\/www.trimble.com\/3d-laser-scanning\/realworks.aspx."},{"key":"ref_32","unstructured":"Girardeau-Montaut, D. (2016, December 19). Cloud Compare. Available online: http:\/\/www.danielgm.org."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Zhang, W., Qi, J., Wan, P., Wang, H., Xie, D., Wang, X., and Yan, G. (2016). An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation. Remote Sens., 8.","DOI":"10.3390\/rs8060501"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1007\/s13595-019-0800-8","article-title":"Harmonisation of stem volume estimates in European National Forest Inventories","volume":"76","author":"Gschwantner","year":"2019","journal-title":"Ann. For. Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1111\/j.1467-8659.2007.01016.x","article-title":"Efficient RANSAC for point-cloud shape detection","volume":"26","author":"Schnabel","year":"2007","journal-title":"Comput. Graph. Forum"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Baronti, L., Alston, M., Mavrakis, N., Ghalamzan, E.A.M., and Castellani, M. (2019). Primitive Shape Fitting in Point Clouds Using the Bees Algorithm. Appl. Sci., 9.","DOI":"10.3390\/app9235198"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.isprsjprs.2016.01.006","article-title":"Terrestrial laser scanning in forest inventories","volume":"115","author":"Liang","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Mayamanikandan, T., Reddy, R.S., and Jha, C. (2019, January 17\u201320). Non-Destructive Tree Volume Estimation using Terrestrial Lidar Data in Teak Dominated Central Indian Forests. Proceedings of the 2019 IEEE Recent Advances in Geoscience and Remote Sensing: Technologies, Standards and Applications (TENGARSS), Kochi, India.","DOI":"10.1109\/TENGARSS48957.2019.8976068"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"P\u00e9rez-Mart\u00edn, E., L\u00f3pez-Cuervo Medina, S., Herrero-Tejedor, T., P\u00e9rez-Souza, M.A., Aguirre de Mata, J., and Ezquerra-Canalejo, A. (2021). Assessment of Tree Diameter Estimation Methods from Mobile Laser Scanning in a Historic Garden. Forests, 12.","DOI":"10.3390\/f12081013"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.rse.2017.04.030","article-title":"Data acquisition considerations for terrestrial laser scanning of forest plots","volume":"196","author":"Wilkes","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"117","DOI":"10.5194\/isprs-annals-III-8-117-2016","article-title":"The effect of wind on tree stem parameter estimation using terrestrial laser scanning","volume":"8","author":"Vaaja","year":"2016","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/18\/3610\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:00:16Z","timestamp":1760166016000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/18\/3610"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,10]]},"references-count":41,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2021,9]]}},"alternative-id":["rs13183610"],"URL":"https:\/\/doi.org\/10.3390\/rs13183610","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,10]]}}}