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Field calibration of merchantable and sawlog volumes in forest inventories based on airborne laser scanning.
- Source :
-
Canadian Journal of Forest Research . 2020, Vol. 50 Issue 12, p1352-1364. 13p. - Publication Year :
- 2020
-
Abstract
- In many countries, airborne laser scanning (ALS) inventories are implemented to produce predictions for stand-level forest attributes. Nevertheless, mature stands are usually field-visited prior to clear-cutting, so some measurements can be conducted on these stands to calibrate the ALS-based predictions. In this paper, we developed a seemingly unrelated multivariate mixed-effects model system that includes component models for basal area, merchantable volume, and sawlog volume for 225 m2 cells. We used ALS data and accurately positioned cut-to-length harvester observations from clear-cut stands dominated by Norway spruce (Picea abies (L.) Karst.). Our aim was to study the effect of 1–10 local angle-gauge basal area measurements on the accuracy of predicted merchantable and sawlog volumes. A seemingly unrelated mixed-effect model system was fitted to estimate cross-model correlations in residuals and random effects, which were then utilized to predict all the random effects of the system for calibrated stand-level predictions. The 10 angle-gauge plots decreased the relative root mean square error (RMSE%) of the basal area and merchantable volume predictions from 16.8% to 10.5% and from 15.8% to 11.9%, respectively. Cross-model correlations of the stand effects of sawlog volume with the other responses were low; therefore, the initial RMSE% of ∼22% was decreased only marginally by the calibration. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00455067
- Volume :
- 50
- Issue :
- 12
- Database :
- Academic Search Index
- Journal :
- Canadian Journal of Forest Research
- Publication Type :
- Academic Journal
- Accession number :
- 147026350
- Full Text :
- https://doi.org/10.1139/cjfr-2020-0033