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Article

Integrating Detailed Timber Assortments into Airborne Laser Scanning (ALS)-Based Assessments of Logging Recoveries

1
School of Forest Sciences, University of Eastern Finland, Yliopistokatu 7, FI-80101 Joensuu, Finland
2
Metsäteho Ltd., Vernissakatu 1, FI-01300 Vantaa, Finland
3
Suomen Metsäkeskus, Aleksanterinkatu 18 A, FI-15140 Lahti, Finland
4
Arbonaut Ltd., Kaislakatu 2, FI-80130 Joensuu, Finland
*
Author to whom correspondence should be addressed.
Academic Editors: Miloš Gejdoš, Aleš Zeidler and Alessio Giovannelli
Forests 2021, 12(9), 1221; https://doi.org/10.3390/f12091221
Received: 14 July 2021 / Revised: 3 September 2021 / Accepted: 6 September 2021 / Published: 8 September 2021
The methodology presented here can assist in making timber markets more efficient when assessing the value of harvestable timber stands and the amounts of timber assortments during the planning of harvesting operations. Information on wood quality and timber assortments is essential for wood valuation and procurement planning as varying wood dimensions and qualities may be utilized and refined in different places, including sawmills, plywood mills, pulp mills, heating plants or combined heat and power plants. We investigate here alternative approaches for generating detailed timber assortments for Norway spruce (Picea abies (L.) H.Karst.), Scots pine (Pinus sylvestris L.) and birch (Betula spp.) from airborne laser scanning (ALS) data, aerial images, harvester data and field data. For this purpose, we used 665 circular plots, and logging recovery information recorded from 249 clear-cut stands using cut-to-length harvesters. We estimated timber assortment volumes, economic values and wood paying capabilities (WPC) for each stand in different bucking scenarios, and used the resulting timber assortment estimates to assess logging recoveries. The bucking scenarios were (1) bucking-to-value using maximum sawlog and pulpwood volumes excluding quality (theoretical maximum), and (2) bucking-to-value using sawlog lengths at 30 cm intervals for Norway spruce and Scots pine and veneer logs of lengths 4.7 m, 5.0 m, 6.0 m and 6.7 m for birch, either excluding quality (the usual business practice) or including quality (a novel business practice). The results showed that our procedure can assist in locating stands that are likely to be more valuable and have the desired timber assortment distributions. We conclude that the method can estimate WPC with root mean square errors of 28.7%, 66.0% and 45.7% in Norway spruce, Scots pine and birch, respectively, for sawlogs and 19.3%, 63.7% and 29.5% for pulpwood. View Full-Text
Keywords: timber stand valuation; timber assortment recovery; cut-to-length (CTL) harvester; harvesting operations; forest planning; wood procurement; bucking; product yield pricing; light detection and ranging (LiDAR); remote sensing timber stand valuation; timber assortment recovery; cut-to-length (CTL) harvester; harvesting operations; forest planning; wood procurement; bucking; product yield pricing; light detection and ranging (LiDAR); remote sensing
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MDPI and ACS Style

Sanz, B.; Malinen, J.; Sirparanta, S.; Peuhkurinen, J.; Leppänen, V.; Melkas, T.; Riekki, K.; Kauranne, T.; Vastaranta, M.; Tokola, T. Integrating Detailed Timber Assortments into Airborne Laser Scanning (ALS)-Based Assessments of Logging Recoveries. Forests 2021, 12, 1221. https://doi.org/10.3390/f12091221

AMA Style

Sanz B, Malinen J, Sirparanta S, Peuhkurinen J, Leppänen V, Melkas T, Riekki K, Kauranne T, Vastaranta M, Tokola T. Integrating Detailed Timber Assortments into Airborne Laser Scanning (ALS)-Based Assessments of Logging Recoveries. Forests. 2021; 12(9):1221. https://doi.org/10.3390/f12091221

Chicago/Turabian Style

Sanz, Blanca, Jukka Malinen, Sanna Sirparanta, Jussi Peuhkurinen, Vesa Leppänen, Timo Melkas, Kirsi Riekki, Tuomo Kauranne, Mikko Vastaranta, and Timo Tokola. 2021. "Integrating Detailed Timber Assortments into Airborne Laser Scanning (ALS)-Based Assessments of Logging Recoveries" Forests 12, no. 9: 1221. https://doi.org/10.3390/f12091221

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