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Anisotropy characteristics of exposed gravel beds revealed in high-point-density airborne laser scanning data

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Anisotropy characteristics of exposed gravel beds revealed in high-point-density airborne laser scanning data. / Huang, Guo-Hao; Wang, Chi-Kuei; Wu, Fu-Chun et al.
In: IEEE Geoscience and Remote Sensing Letters, Vol. 13, No. 8, 08.2016, p. 1044-1048.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Huang, G-H, Wang, C-K, Wu, F-C & Atkinson, PM 2016, 'Anisotropy characteristics of exposed gravel beds revealed in high-point-density airborne laser scanning data', IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 8, pp. 1044-1048. https://doi.org/10.1109/LGRS.2016.2562061

APA

Vancouver

Huang G-H, Wang C-K, Wu F-C, Atkinson PM. Anisotropy characteristics of exposed gravel beds revealed in high-point-density airborne laser scanning data. IEEE Geoscience and Remote Sensing Letters. 2016 Aug;13(8):1044-1048. Epub 2016 May 23. doi: 10.1109/LGRS.2016.2562061

Author

Huang, Guo-Hao ; Wang, Chi-Kuei ; Wu, Fu-Chun et al. / Anisotropy characteristics of exposed gravel beds revealed in high-point-density airborne laser scanning data. In: IEEE Geoscience and Remote Sensing Letters. 2016 ; Vol. 13, No. 8. pp. 1044-1048.

Bibtex

@article{66d2a44c27464427824e99abfbe0ad8e,
title = "Anisotropy characteristics of exposed gravel beds revealed in high-point-density airborne laser scanning data",
abstract = "The aim of this study was to examine the relationship between the anisotropy direction of exposed gravel bed and flow direction. Previous studies have shown that the anisotropy direction of a gravel bed surface can be visually determined in the elliptical contours of 2-D variogram surface (2DVS). In this letter, airborne laser scanning (ALS) point clouds were acquired at a gravel bed, and the whole data set was divided into a series of 6 m × 6 m subsets. To estimate the direction of anisotropy, we proposed an ellipse-fitting-based automatic procedure with consideration given to the grain size characteristic d50 to estimate the primary axis of anisotropy [hereafter referred to as the primary continuity direction (PCD)] in the 2DVS. The ALS-derived PCDs were compared to the flow directions (for both high and low flow) derived from hydrodynamic model simulation. Comparison of ALS-derived PCDs and simulated flow directions suggested that ALS-derived PCDs could be used to infer flow direction at different flow rates. Furthermore, we found that the ALS-derived PCDs estimated from any elliptical contour of the 2DVS exhibited a similar orientation when the contours of the 2DVS reveal the clear anisotropic structure, demonstrating the robustness of the technique.",
author = "Guo-Hao Huang and Chi-Kuei Wang and Fu-Chun Wu and Atkinson, {Peter Michael}",
note = "{\textcopyright}2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2016",
month = aug,
doi = "10.1109/LGRS.2016.2562061",
language = "English",
volume = "13",
pages = "1044--1048",
journal = "IEEE Geoscience and Remote Sensing Letters",
issn = "1545-598X",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "8",

}

RIS

TY - JOUR

T1 - Anisotropy characteristics of exposed gravel beds revealed in high-point-density airborne laser scanning data

AU - Huang, Guo-Hao

AU - Wang, Chi-Kuei

AU - Wu, Fu-Chun

AU - Atkinson, Peter Michael

N1 - ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2016/8

Y1 - 2016/8

N2 - The aim of this study was to examine the relationship between the anisotropy direction of exposed gravel bed and flow direction. Previous studies have shown that the anisotropy direction of a gravel bed surface can be visually determined in the elliptical contours of 2-D variogram surface (2DVS). In this letter, airborne laser scanning (ALS) point clouds were acquired at a gravel bed, and the whole data set was divided into a series of 6 m × 6 m subsets. To estimate the direction of anisotropy, we proposed an ellipse-fitting-based automatic procedure with consideration given to the grain size characteristic d50 to estimate the primary axis of anisotropy [hereafter referred to as the primary continuity direction (PCD)] in the 2DVS. The ALS-derived PCDs were compared to the flow directions (for both high and low flow) derived from hydrodynamic model simulation. Comparison of ALS-derived PCDs and simulated flow directions suggested that ALS-derived PCDs could be used to infer flow direction at different flow rates. Furthermore, we found that the ALS-derived PCDs estimated from any elliptical contour of the 2DVS exhibited a similar orientation when the contours of the 2DVS reveal the clear anisotropic structure, demonstrating the robustness of the technique.

AB - The aim of this study was to examine the relationship between the anisotropy direction of exposed gravel bed and flow direction. Previous studies have shown that the anisotropy direction of a gravel bed surface can be visually determined in the elliptical contours of 2-D variogram surface (2DVS). In this letter, airborne laser scanning (ALS) point clouds were acquired at a gravel bed, and the whole data set was divided into a series of 6 m × 6 m subsets. To estimate the direction of anisotropy, we proposed an ellipse-fitting-based automatic procedure with consideration given to the grain size characteristic d50 to estimate the primary axis of anisotropy [hereafter referred to as the primary continuity direction (PCD)] in the 2DVS. The ALS-derived PCDs were compared to the flow directions (for both high and low flow) derived from hydrodynamic model simulation. Comparison of ALS-derived PCDs and simulated flow directions suggested that ALS-derived PCDs could be used to infer flow direction at different flow rates. Furthermore, we found that the ALS-derived PCDs estimated from any elliptical contour of the 2DVS exhibited a similar orientation when the contours of the 2DVS reveal the clear anisotropic structure, demonstrating the robustness of the technique.

U2 - 10.1109/LGRS.2016.2562061

DO - 10.1109/LGRS.2016.2562061

M3 - Journal article

VL - 13

SP - 1044

EP - 1048

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

SN - 1545-598X

IS - 8

ER -