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
Abstract
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.
Keywords
LiDAR; reflectance; vegetation; forestry; NIR; NDVI
Published in
Title: Proceedings of SilviLaser 2015
Publisher: IGN, LIF
Conference
SilviLaser 2015 : 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems
UKÄ Subject classification
Remote Sensing
Forest Science
Permanent link to this page (URI)
https://res.slu.se/id/publ/69039