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Assessing Handheld Mobile Laser Scanners for Forest Surveys

Faculty of Engineering, The University of Nottingham, Nottingham NG7 2RD, UK
RPS, Nelson House, Axminster, Devon EX13 5AX, UK
Laser Mapping, Unit 1 Moorbridge Court, Bingham NG13 8GG, UK
School of Life Sciences, The University of Nottingham, Nottingham NG7 2RD, UK
Author to whom correspondence should be addressed.
Current address: OXBOTICA Ltd, 23 Banbury Road, Oxford, OX2 6NN, UK
Academic Editors: Nicolas Baghdadi and Prasad S. Thenkabail
Remote Sens. 2015, 7(1), 1095-1111;
Received: 29 August 2014 / Accepted: 12 January 2015 / Published: 19 January 2015
PDF [45226 KB, uploaded 19 January 2015]


A handheld mobile laser scanning (HMLS) approach to forest inventory surveying allows virtual reconstructions of forest stands and extraction of key structural parameters from beneath the canopy, significantly reducing survey time when compared against static laser scan and fieldwork methods. A proof of concept test application demonstrated the ability of this technique to successfully extract diameter at breast height (DBH) and stem position compared against a concurrent terrestrial laser scan (TLS) survey. When stems with DBH > 10 cm are examined, an HMLS to TLS modelling success rate of 91% was achieved with the root mean square error (RMSE) of the DBH and stem position being 1.5 cm and 2.1 cm respectively. The HMLS approach gave a survey coverage time per surveyor of 50 m2/min compared with 0.85 m2/min for the TLS instrument and 0.43 m2/min for the field study. This powerful tool has potential applications in forest surveying by providing much larger data sets at reduced operational costs to current survey methods. HMLS provides an efficient, cost effective, versatile forest surveying technique, which can be conducted as easily as walking through a plot, allowing much more detailed, spatially extensive survey data to be collected. View Full-Text
Keywords: forest; laser scanning; handheld mobile laser scanning; forest inventory forest; laser scanning; handheld mobile laser scanning; forest inventory

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Ryding, J.; Williams, E.; Smith, M.J.; Eichhorn, M.P. Assessing Handheld Mobile Laser Scanners for Forest Surveys. Remote Sens. 2015, 7, 1095-1111.

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