A comparison of spatialisation methods for the aggregation of LiDAR forest estimates at the compartment level
Comparaison de méthode de spatialisation pour l'agrégation d'estimations LiDAR par parcelle forestière
Résumé
From the plot to compartment level, prediction error decreases from 15 to 6.4% for basal area, 26 to 7.7% for stem density and 6.5 to 3.4% for dominant diameter. The major criterion for spatialisation is to respect the calibration plot size, whereas for aggregation the issue of compartment borders depends on the forest parameter.