Abstract
The aim of this study is to derive the scaling behavior of gravel-bed roughness of terrestrial laser scanning (TLS) from airborne laser scanning (ALS). We use the fractal dimension, which can be estimated from the slope of log-log variogram of laser scanning data, to represent gravel-bed roughness. The study area is located near the confluence of the Nan-Shih River and Pei-Shih River, northern Taiwan. Two gravel-bed sites with the extent of 6m × 6m were acquired by FARO photon 80, and then in-situ digital surface models (DSMs) were generated with 1 cm × 1cm resolution. ALS survey was conducted by an Optech ALTM 3070 at the density of 247 points/m2. The point cloud data were collected by ALS, which showed smoothed surface of TLS counterparts. In this study, we used the deconvolution procedure to derive the variograms of TLS-derived DSM from the variograms of ALS data. Hence, we could establish the link between the gravel-bed roughness of TLS-derived DSM and ALS data. The results will lead a better understanding of gravel-bed roughness using ALS data for the large-scale areas.
| Original language | English |
|---|---|
| Title of host publication | 34th Asian Conference on Remote Sensing 2013, ACRS 2013 |
| Publisher | Asian Association on Remote Sensing |
| Pages | 1635-1640 |
| Number of pages | 6 |
| Volume | 2 |
| ISBN (Print) | 9781629939100 |
| Publication status | Published - 2013 |
| Event | 34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia Duration: 2013 Oct 20 → 2013 Oct 24 |
Other
| Other | 34th Asian Conference on Remote Sensing 2013, ACRS 2013 |
|---|---|
| Country | Indonesia |
| City | Bali |
| Period | 13-10-20 → 13-10-24 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
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Super-resolution mapping of gravel bed surface roughness using terrestrial laser scanning and airborne laser scanning. / Huang, Guo Hao; Wang, Chi-Kuei.
34th Asian Conference on Remote Sensing 2013, ACRS 2013. Vol. 2 Asian Association on Remote Sensing, 2013. p. 1635-1640.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Super-resolution mapping of gravel bed surface roughness using terrestrial laser scanning and airborne laser scanning
AU - Huang, Guo Hao
AU - Wang, Chi-Kuei
PY - 2013
Y1 - 2013
N2 - The aim of this study is to derive the scaling behavior of gravel-bed roughness of terrestrial laser scanning (TLS) from airborne laser scanning (ALS). We use the fractal dimension, which can be estimated from the slope of log-log variogram of laser scanning data, to represent gravel-bed roughness. The study area is located near the confluence of the Nan-Shih River and Pei-Shih River, northern Taiwan. Two gravel-bed sites with the extent of 6m × 6m were acquired by FARO photon 80, and then in-situ digital surface models (DSMs) were generated with 1 cm × 1cm resolution. ALS survey was conducted by an Optech ALTM 3070 at the density of 247 points/m2. The point cloud data were collected by ALS, which showed smoothed surface of TLS counterparts. In this study, we used the deconvolution procedure to derive the variograms of TLS-derived DSM from the variograms of ALS data. Hence, we could establish the link between the gravel-bed roughness of TLS-derived DSM and ALS data. The results will lead a better understanding of gravel-bed roughness using ALS data for the large-scale areas.
AB - The aim of this study is to derive the scaling behavior of gravel-bed roughness of terrestrial laser scanning (TLS) from airborne laser scanning (ALS). We use the fractal dimension, which can be estimated from the slope of log-log variogram of laser scanning data, to represent gravel-bed roughness. The study area is located near the confluence of the Nan-Shih River and Pei-Shih River, northern Taiwan. Two gravel-bed sites with the extent of 6m × 6m were acquired by FARO photon 80, and then in-situ digital surface models (DSMs) were generated with 1 cm × 1cm resolution. ALS survey was conducted by an Optech ALTM 3070 at the density of 247 points/m2. The point cloud data were collected by ALS, which showed smoothed surface of TLS counterparts. In this study, we used the deconvolution procedure to derive the variograms of TLS-derived DSM from the variograms of ALS data. Hence, we could establish the link between the gravel-bed roughness of TLS-derived DSM and ALS data. The results will lead a better understanding of gravel-bed roughness using ALS data for the large-scale areas.
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M3 - Conference contribution
AN - SCOPUS:84903437613
SN - 9781629939100
VL - 2
SP - 1635
EP - 1640
BT - 34th Asian Conference on Remote Sensing 2013, ACRS 2013
PB - Asian Association on Remote Sensing
ER -