home
focus and scope
journal policies
Focus and scope Peer review process Openness and transparency Publication frequency Archiving Article processing charges Criteria for authorship and contributors Conflicts of interest Allegations of misconduct Complaints process Sponsors Journal History
author instructions
General Metadata Article Categories Openness and transparency Submission of manuscripts Manuscript text Citation standards Tables and figures Acknowledgements, funding and availability of research materials and data Supplementary files Procedures for revised and accepted manuscripts
special issues
editors
open access
other journals
Metsätieteen aikakauskirja Dissertationes Forestales Suo - Mires and Peat
contact
financial information
Full text of this article is only available in PDF format.

Johan Holmgren (email), Andreas Barth, Henrik Larsson, Håkan Olsson

Prediction of stem attributes by combining airborne laser scanning and measurements from harvesters

Holmgren J., Barth A., Larsson H., Olsson H. (2012). Prediction of stem attributes by combining airborne laser scanning and measurements from harvesters. Silva Fennica vol. 46 no. 2 article id 56. https://doi.org/10.14214/sf.56

Abstract

In this study, a new method was validated for the first time that predicts stem attributes for a forest area without any manual measurements of tree stems by combining harvester measurements and Airborne Laser Scanning (ALS) data. A new algorithm for automatic segmentation of tree crowns from ALS data based on tree crown models was developed. The test site was located in boreal forest (64°06’N, 19°10’E) dominated by Norway spruce (Picea abies) and Scots Pine (Pinus sylvestris).The trees were harvested on field plots, and each harvested tree was linked to the nearest tree crown segment derived from ALS data. In this way, a reference database was created with both stem data from the harvester and ALS derived features for linked tree crowns. To estimate stem attributes for a tree crown segment in parts of the forest where trees not yet have been harvested, tree stems are imputed from the most similar crown segment in the reference database according to features extracted from ALS data. The imputation of harvester data was validated on a sub-stand-level, i.e. 2–4 aggregated 10 m radius plots, and the obtained RMSE of stem volume, mean tree height, mean stem diameter, and stem density (stems per ha) estimates were 11%, 8%, 12%, and 19%, respectively. The imputation of stem data collected by harvesters could in the future be used for bucking simulations of not yet harvested forest stands in order to predict wood assortments.

Keywords
ALS data; pre-harvest inventory; tree detection

Author Info
  • Holmgren, Swedish University of Agricultural Sciences, Forest Resource Management, Umeå, Sweden E-mail johan.holmgren@slu.se (email)
  • Barth, The Forestry Research Institute of Sweden, Uppsala, Sweden E-mail ab@nn.se
  • Larsson, Swedish University of Agricultural Sciences, Forest Resource Management, Umeå, Sweden E-mail hl@nn.se
  • Olsson, Swedish University of Agricultural Sciences, Forest Resource Management, Umeå, Sweden E-mail ho@nn.se

Received 10 November 2011 Accepted 20 March 2012 Published 31 December 2012

Views 3865

Available at https://doi.org/10.14214/sf.56 | Download PDF

Creative Commons License CC BY-SA 4.0
Register
Click this link to register to Silva Fennica.
Log in
If you are a registered user, log in to save your selected articles for later access.
Contents alert
Sign up to receive alerts of new content
Export reference to EndNote / RefWorks
Related articles
Your selected articles
Send to email
Lippu J., (1998) Redistribution of 14C-labelled reserve carbon in.. Silva Fennica vol. 32 no. 1 article id 696 (remove) | Edit comment
Sinoquet H., Godin C. et al. (1997) Assessment of the three-dimensional architecture.. Silva Fennica vol. 31 no. 3 article id 5624 (remove) | Edit comment
Juntunen M.-L., (2001) Use of pesticides in Finnish forest nurseries in.. Silva Fennica vol. 35 no. 2 article id 592 (remove) | Edit comment
Reunala A., Virtanen P. (1987) The forest as a Finnish cultural entity Silva Fennica vol. 21 no. 4 article id 5321 (remove) | Edit comment
Roulund H., Skrøppa T. (1991) Summary of main topics and conclusions from the .. Silva Fennica vol. 25 no. 4 article id 5457 (remove) | Edit comment
Waga K., Malinen J. et al. (2021) Locally invariant analysis of forest road qualit.. Silva Fennica vol. 55 no. 1 article id 10371 (remove) | Edit comment
Huotari M., Jaskari M. et al. (2003) Responses of olfactory receptor neurons of the l.. Silva Fennica vol. 37 no. 1 article id 517 (remove) | Edit comment
Szewczyk G., Spinelli R. et al. (2020) The mental workload of harvester operators worki.. Silva Fennica vol. 54 no. 3 article id 10355 (remove) | Edit comment
Repo T., Volanen V. et al. (2022) No difference in the maximum frost hardiness of .. Silva Fennica vol. 56 no. 2 article id 10620 (remove) | Edit comment
Jylhä P., Laitila J. (2007) Energy wood and pulpwood harvesting from young s.. Silva Fennica vol. 41 no. 4 article id 470 (remove) | Edit comment
Siipilehto J., (1999) Improving the accuracy of predicted basal-area d.. Silva Fennica vol. 33 no. 4 article id 650 (remove) | Edit comment
Your search results
Olofsson K., Holmgren J. (2022) Co-registration of single tree maps and data cap.. Silva Fennica vol. 56 no. 3 article id 10712
Saad R., Wallerman J. et al. (2016) Local pivotal method sampling design combined wi.. Silva Fennica vol. 50 no. 2 article id 1414
Holmgren J., Barth A. et al. (2012) Prediction of stem attributes by combining airbo.. Silva Fennica vol. 46 no. 2 article id 56
Silva Fennica · Finnish Society of Forest Science