TY  - GEN
UR  - https://archiv.ub.uni-heidelberg.de/volltextserver/37017/
KW  - Three-dimensional
KW  -  LIDAR
KW  -  Surface
KW  -  DEM/DTM
KW  -  Retrieval
KW  -  Geomorphology
KW  -  Roughness
SP  - 287
CY  - Lemmer
ID  - heidok37017
Y1  - 2010///
A1  - Hollaus, Markus
A1  - Höfle, Bernhard
T3  - International archives of photogrammetry, remote sensing and spatial information sciences
EP  - 292
TI  - Terrain roughness parameters from full-waveform airborne LiDAR data
N2  - As an active remote sensing technique airborne laser scanning (ALS) is able to capture the topography with high precision even for densely forested areas. Due to the high pulse repetition frequency of up to 400 kHz a high sampling rate on the ground can be achieved, which allows the description of the terrain surface in decimeter scale. In this contribution two approaches to characterize terrain roughness are described. In the first approach the standard deviation of detrended terrain points is calculated. To achieve a high spatial resolution of the derived roughness layer a high terrain point density is essential, which requires especially in dense forested areas a very high sampling rate. In addition to the 3D position of backscattering objects, full-waveform ALS systems provide the width of each detectable echo, which provides information on the range distribution of scatterers within the laser footprint that contribute to one echo. It is therefore, an indicator for surface roughness and the slope of the target. In comparison to the roughness layer derived from the first approach using high point densities, the derived echo width image shows similar spatial patterns of terrain roughness even for moderate point densities. The results show that both the echo widths and the vertical distribution of terrain echoes are useful to derive reliable geometric terrain roughness layers of large areas.
PB  - GITC
AV  - public
ER  -