TY - GEN
T1 - Gravel bed roughness determined from airborne laser scanning
AU - Huang, Guo Hao
AU - Wang, Chi Kuei
PY - 2011/12/1
Y1 - 2011/12/1
N2 - We use the airborne laser scanning (ALS) to scan the exposed dry surface of Nan-Shin river in Taiwan with a nominal point density of 100 points/m 2. Numerous studies showed that the fractal dimension is a good measure of the roughness of the gravel surface. The fractal dimension can be estimated from the slope of the log-log plot of the variogram. Because the gravel surface exhibits the anisotropic property, we first use variogram maps of the gravel surfaces to determine the anisotropic directions. Since the gravel surfaces show the self-affinity property, the directional variograms are then used for calculating the fractal dimension in the directions of maximum and minimum continuity. This study may lead to a better understanding of the roughness of the gravel surface using ALS data for the large-scale areas.
AB - We use the airborne laser scanning (ALS) to scan the exposed dry surface of Nan-Shin river in Taiwan with a nominal point density of 100 points/m 2. Numerous studies showed that the fractal dimension is a good measure of the roughness of the gravel surface. The fractal dimension can be estimated from the slope of the log-log plot of the variogram. Because the gravel surface exhibits the anisotropic property, we first use variogram maps of the gravel surfaces to determine the anisotropic directions. Since the gravel surfaces show the self-affinity property, the directional variograms are then used for calculating the fractal dimension in the directions of maximum and minimum continuity. This study may lead to a better understanding of the roughness of the gravel surface using ALS data for the large-scale areas.
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M3 - Conference contribution
AN - SCOPUS:84865697768
SN - 9781618394972
T3 - 32nd Asian Conference on Remote Sensing 2011, ACRS 2011
SP - 1927
EP - 1932
BT - 32nd Asian Conference on Remote Sensing 2011, ACRS 2011
T2 - 32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Y2 - 3 October 2011 through 7 October 2011
ER -