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Operational prediction of forest attributes using standardised harvester data and airborne laser scanning data in Sweden

Söderberg, Jon and Wallerman, Jörgen and Almäng, Anders and Möller, Johan J. and Willén, Erik (2021). Operational prediction of forest attributes using standardised harvester data and airborne laser scanning data in Sweden. Scandinavian Journal of Forest Research. 36
[Research article]

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Abstract

With cut-to-length harvesters, tree stems are measured and cut into different timber assortments at the time of felling. These measurement data collected from harvested trees can be used for decision-support at different levels of the forest industry chain and also for forest planning when combined with remote sensing data. The aim of this study was to examine the operational application for predicting merchantable stem volume, basal area, basal area-weighted mean tree height, basal area-weighted mean stem diameter and diameter distribution at stand level with airborne laser scanning data and harvester data from final felling operations. The area-based approach using k-MSN estimation was evaluated for six different variants of spatial partitioning. The results were stand level predictions with relative root mean square errors of 11-14%, 10-15%, 3-4% and 6-7% for merchantable stem volume, basal area, basal area-weighted mean tree height and basal area-weighted mean stem diameter, respectively. Predictions of stem diameter distributions resulted in error indices of 0.13-0.14. The results demonstrate that harvester data from cut forests may serve as ground truth to airborne laser scanning data and provide accurate forest estimates at stand level. The predicted diameter distributions could be useful for improving yield estimates and bucking simulations.

Authors/Creators:Söderberg, Jon and Wallerman, Jörgen and Almäng, Anders and Möller, Johan J. and Willén, Erik
Title:Operational prediction of forest attributes using standardised harvester data and airborne laser scanning data in Sweden
Series Name/Journal:Scandinavian Journal of Forest Research
Year of publishing :2021
Volume:36
Number of Pages:9
Publisher:TAYLOR AND FRANCIS AS
ISSN:0282-7581
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Keywords:Forestry, planning, airborne laser scanning, harvester data
URN:NBN:urn:nbn:se:slu:epsilon-p-112013
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-112013
Additional ID:
Type of IDID
DOI10.1080/02827581.2021.1919751
Web of Science (WoS)000648044700001
ID Code:24799
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:05 Jul 2021 08:47
Metadata Last Modified:05 Jul 2021 08:51

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