An Automatic Individual Tree 3D Change Detection Method for Allometric Parameters Estimation in Mixed Uneven-Aged Forest Stands from ALS Data

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 18; p. 4666
• Main Authors: Spadavecchia, Claudio, Belcore, Elena, Piras, Marco, Kobal, Milan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 19.09.2022
• Subjects: 3D change detection; aboveground biomass; airborne laser scanning (ALS); Airborne lasers; Algorithms; allometry; Area; Automation; Biomass; Carbon; Change detection; climate; data collection; decision support systems; Decision trees; Diameters; forestry; Forests; ice; Image segmentation; Lasers; Lidar; light detection and ranging (LiDAR); Mathematical analysis; multitemporal analysis; Parameter estimation; Remote sensing; storms; tree and stand measurements; tree crown; Trees; Slovenia

Forests play a central role in the management of the Earth’s climate. Airborne laser scanning (ALS) technologies facilitate the monitoring of large and impassable areas and can be used to monitor the 3D structure of forests. While the ALS-based forest measures have been studied in depth, 3D change d...