Assessment of handheld mobile terrestrial laser scanning for estimating tree parameters
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ORIGINAL PAPER
Assessment of handheld mobile terrestrial laser scanning for estimating tree parameters Cornelis Stal1,2 · Jeffrey Verbeurgt2 · Lars De Sloover2,3 · Alain De Wulf2
Received: 28 April 2020 / Accepted: 5 May 2020 © The Author(s) 2020
Abstract Sustainable forest management heavily relies on the accurate estimation of tree parameters. Among others, the diameter at breast height (DBH) is important for extracting the volume and mass of an individual tree. For systematically estimating the volume of entire plots, airborne laser scanning (ALS) data are used. The estimation model is frequently calibrated using manual DBH measurements or static terrestrial laser scans (STLS) of sample plots. Although reliable, this method is time-consuming, which greatly hampers its use. Here, a handheld mobile terrestrial laser scanning (HMTLS) was demonstrated to be a useful alternative technique to precisely and efficiently calculate DBH. Different data acquisition techniques were applied at a sample plot, then the resulting parameters were comparatively analysed. The calculated DBH values were comparable to the manual measurements for HMTLS, STLS, and ALS data sets. Given the comparability of the extracted parameters, with a reduced point density of HTMLS compared to STLS data, and the reasonable increase of performance, with a reduction of acquisition time with a factor of Project funding: The work was funded by University College Ghent and Ghent University. The online version is available at https://www.springerlink.com. Corresponding editor: Tao Xu. * Cornelis Stal [email protected] 1
Center for Applied Data Science, University College Ghent, Valentin Vaerwyckweg 1, 9000 Ghent, Belgium
2
Department of Geography, 3D Data Acquisition Research Unit, Ghent University, Krijgslaan 281, 9000 Ghent, Belgium
3
Department of Geography, CartoGIS Research Unit, Ghent University, Krijgslaan 281, 9000 Ghent, Belgium
5 compared to conventional STLS techniques and a factor of 3 compared to manual measurements, HMTLS is considered a useful alternative technique. Keywords Forest inventory · DBH · Airborne laser scanning · Terrestrial laser scanning · Handheld mobile laser scanning · Point cloud processing
Introduction Forest inventories are necessary to provide comprehensive information about the state, functioning and dynamics of forests for the management and planning of ecosystems, operational forest management, estimation of deforestation in tropical forests (Coomes et al. 2017) and decision-making. Large-scale forest inventories are primarily supported by the acquisition of airborne laser scanning point clouds (Jayathunga et al. 2018). Forest parameters such as tree species, diameter at breast height (DBH), tree height and biomass are frequently estimated using various techniques such as non-parametric models (Shang et al. 2016), areabased or tree-centered techniques (Coomes et al. 2017), or the projection of a probability density function (Wilkes et al. 2016). In many cases, the estimation of these paramete
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