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Conference paper2015Peer reviewed

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

Title: Proceedings of SilviLaser 2015
Publisher: IGN, LIF


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

    UKÄ Subject classification

    Remote Sensing
    Forest Science

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