Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests

Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute (National Land Survey of Finland), Geodeetinrinne 2, 02431 Masala, Finland

Author to whom correspondence should be addressed.

Remote Sens. 2019, 11(12), 1423; https://doi.org/10.3390/rs11121423

Received: 14 May 2019 / Revised: 6 June 2019 / Accepted: 13 June 2019 / Published: 14 June 2019

(This article belongs to the Section Forest Remote Sensing)

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Abstract

Terrestrial laser scanning (TLS) has proven to accurately represent individual trees, while the use of TLS for plot-level forest characterization has been studied less. We used 91 sample plots to assess the feasibility of TLS in estimating plot-level forest inventory attributes, namely the stem number (N), basal area (G), and volume (V) as well as the basal area weighed mean diameter (D_g) and height (H_g). The effect of the sample plot size was investigated by using different-sized sample plots with a fixed scan set-up to also observe possible differences in the quality of point clouds. The Gini coefficient was used to measure the variation in tree size distribution at the plot-level to investigate the relationship between stand heterogeneity and the performance of the TLS-based method. Higher performances in tree detection and forest attribute estimation were recorded for sample plots with a low degree of tree size variation. The TLS-based approach captured 95% of the variation in H_g and V, 85% of the variation in D_g and G, and 67% of the variation in N. By increasing the sample plot size, the tree detection rate was decreased, and the accuracy of the estimates, especially G and N, decreased. This study emphasizes the feasibility of TLS-based approaches in plot-level forest inventories in varying southern boreal forest conditions. View Full-Text

Keywords: TLS; ground-based LiDAR; point cloud; forest inventory

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MDPI and ACS Style

Yrttimaa, T.; Saarinen, N.; Kankare, V.; Liang, X.; Hyyppä, J.; Holopainen, M.; Vastaranta, M. Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests. Remote Sens. 2019, 11, 1423. https://doi.org/10.3390/rs11121423

AMA Style

Yrttimaa T, Saarinen N, Kankare V, Liang X, Hyyppä J, Holopainen M, Vastaranta M. Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests. Remote Sensing. 2019; 11(12):1423. https://doi.org/10.3390/rs11121423

Chicago/Turabian Style

Yrttimaa, Tuomas, Ninni Saarinen, Ville Kankare, Xinlian Liang, Juha Hyyppä, Markus Holopainen, and Mikko Vastaranta. 2019. "Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests" Remote Sensing 11, no. 12: 1423. https://doi.org/10.3390/rs11121423

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Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests

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