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Field calibration of merchantable and sawlog volumes in forest inventories based on airborne laser scanning

Karjalainen, Tomi ; Mehtätalo, Lauri ; Packalen, Petteri ; Gobakken, Terje ; Næsset, Erik ; Maltamo, Matti

Canadian journal of forest research, 2020-12, Vol.50 (12), p.1352-1364 [Periódico revisado por pares]

1840 Woodward Drive, Suite 1, Ottawa, ON K2C 0P7: NRC Research Press

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Título:
Field calibration of merchantable and sawlog volumes in forest inventories based on airborne laser scanning
Autor: Karjalainen, Tomi ; Mehtätalo, Lauri ; Packalen, Petteri ; Gobakken, Terje ; Næsset, Erik ; Maltamo, Matti
Assuntos: Airborne lasers ; approche par surface ; area-based approach ; balayage laser aéroporté ; Calibration ; Clearcutting ; Distribution ; données de l’abatteuse-tronçonneuse ; Environmental aspects ; estimated best linear unbiased predictor ; Finland ; Forest management ; Forests and forestry ; harvester data ; Harvesters ; Inventories ; Laser applications ; Lasers ; LiDAR ; meilleur prédicteur linéaire sans biais estimé ; Methods ; Optical radar ; Picea abies ; Pine trees ; Predictions ; quality ; qualité ; Root-mean-square errors ; Scanning ; Trees
É parte de: Canadian journal of forest research, 2020-12, Vol.50 (12), p.1352-1364
Descrição: 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 m 2 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.
Editor: 1840 Woodward Drive, Suite 1, Ottawa, ON K2C 0P7: NRC Research Press
Idioma: Inglês

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Field calibration of merchantable and sawlog volumes in forest inventories based on airborne laser scanning

Karjalainen, Tomi ; Mehtätalo, Lauri ; Packalen, Petteri ; Gobakken, Terje ; Næsset, Erik ; Maltamo, Matti

1840 Woodward Drive, Suite 1, Ottawa, ON K2C 0P7: NRC Research Press

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