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Conference paper - Peer-reviewed, 2015

Multi-wavelength Airborne Laser Scanning for Characterization of Tree Species

Lindberg, Eva; Briese, Christian; Doneus, Michael; Hollaus, Markus; Schroiff, Anke; Pfeifer, Norbert


This study analyses ALS data with three different wavelengths (1064 nm, 1550 nm and 532 nm) from a forest area to investigate the potential for tree species classification. Including both spectral and geometric information from ALS data may characterize tree species better than geometric information from one wavelength only.


LiDAR; reflectance; vegetation; forestry; NIR; NDVI

Published in

Book title: Proceedings of SilviLaser 2015
Publisher: IGN, LIF


SilviLaser 2015 : 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems

Authors' information

Vienna University of Technology (TU Wien)
Briese, Christian
Vienna University of Technology (TU Wien)
Doneus, Michael
University of Vienna
Hollaus, Markus
Vienna University of Technology (TU Wien)
Schroiff, Anke
Yggdrasil Diemer
Pfeifer, Norbert
Vienna University of Technology (TU Wien)

UKÄ Subject classification

Remote Sensing
Forest Science

URI (permanent link to this page)