TY  - GEN
A1  - Hollaus, Markus
A1  - Mücke, Werner
A1  - Höfle, Bernhard
A1  - Dorigo, Wouter
A1  - Pfeifer, Norbert
A1  - Wagner, Wolfgang
A1  - Bauerhansl, Christoph
A1  - Regner, Bruno
ID  - heidok36973
N2  - Airborne laser scanning is an evolving operational measurement technique for deriving forest parameters. The objective of the current study was to analyze the potential of full-waveform airborne laser scanning for tree species classification of a mixed woodland. The quantities used were the echo width, backscatter cross section, as well as the distribution of the echoes in vertical direction. Based on segmented tree crowns the mean backscatter cross section of all echoes above the 50th height percentile was computed. Additionally, the canopy density, describing the ratio of the number of all echoes above the 50th height percentile and the total number of echoes, was used for a knowledge-based classification of coniferous and deciduous trees. The achieved overall accuracy was 83%. Furthermore, the standard deviation of the echo widths per crown segment was applied for a separation of spruce and larch. An overall accuracy of the classified tree species red beech, larch and spruce of 75% was obtained. The presented results show that combining geometric information and backscattering properties of full-waveform airborne laser scanning data has a high potential for tree species classification.
Y1  - 2009///
CY  - College Station, Texas, USA
EP  - 62
TI  - Tree species classification based on full-waveform airborne laser scanning data
SP  - 54
AV  - public
UR  - https://archiv.ub.uni-heidelberg.de/volltextserver/36973/
PB  - SILVILASER
ER  -