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Assessing Handheld Mobile Laser Scanners for Forest Surveys

Ryding, Joseph; Williams, Emily; Smith, Martin J.; Eichhorn, Markus P.

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Authors

Joseph Ryding

Emily Williams

Martin J. Smith

Markus P. Eichhorn



Abstract

Abstract: 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 m 2/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.

Citation

Ryding, J., Williams, E., Smith, M. J., & Eichhorn, M. P. (2015). Assessing Handheld Mobile Laser Scanners for Forest Surveys. Remote Sensing, 7(1), 1095-1111. https://doi.org/10.3390/rs70101095

Journal Article Type Article
Acceptance Date Jan 12, 2015
Online Publication Date Jan 19, 2015
Publication Date Jan 19, 2015
Deposit Date Jun 16, 2016
Publicly Available Date Jun 16, 2016
Journal Remote Sensing
Electronic ISSN 2072-4292
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 7
Issue 1
Pages 1095-1111
DOI https://doi.org/10.3390/rs70101095
Public URL https://nottingham-repository.worktribe.com/output/742977
Publisher URL http://www.mdpi.com/2072-4292/7/1/1095
Contract Date Jun 16, 2016

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