Accuracy of forest inventory using airborne laser scanning: evaluating the first nordic full-scale operational project
This research reports the major results from an evaluation of the first Nordic operational stand-based forest inventory using airborne laser scanner data. Laser data from a forest area of 250 km 2 were used to predict six biophysical stand variables used in forest planning. The predictions were based on regression equations estimated from 250 m 2 field training plots distributed systematically throughout the forest area. Test plots with an approximate size of 0.1-0.4 ha were used for validation. The testing revealed standard deviations between ground-truth values and predicted values of 0.36-1.37 m (1.9-7.6%) for mean height, 0.70-1.55 m (3.0-7.6%) for dominant height, 2.38-4.88 m 2 ha −1 (7.8-14.2%) for basal area and 13.9-45.9 m 3 ha −1 (6.5-13.4%) for stand volume. No serious bias was detected.
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Document Type: Research Article
Publication date: 2004-12-01