Multiscale geostatistical estimation of gravel-bed roughness from terrestrial and airborne laser scanning

Guo Hao Huang, Chi-Kuei Wang

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The aim of this study is to establish the link between the scaling behavior of gravel-bed roughness of Terrestrial Laser Scanning (TLS) and Airborne Laser Scanning (ALS) data. The fractal dimension calculated from the log-log variogram was used to represent the roughness at two gravel-bed sites with the extent of 6 m × 6 m. In situ digital surface models (DSMs) were generated from TLS. The 3-D point data were collected by ALS, which showed smoothed surfaces of the TLS counterparts. We used the regularization method to derive the variograms of the ALS footprint from the variograms of in situ DSMs and compared it with the variograms of ALS data in the directions of maximum and minimum continuity identified in the 2-D variogram surfaces. Our results confirm that the 2-D variogram surfaces of ALS data show similar anisotropy pattern as their respective TLS-derived DSMs. In addition, we demonstrate that the regularization method is able to establish the scaling relations between TLS-derived DSMs and the ALS data. The results will lead a better understanding of the scaling characteristics of the gravel-bed roughness on the change of measurement scale. To the best of our knowledge, this letter presents the first study of examining the grave-bed roughness of cluster bedforms derived from ALS data.

Original languageEnglish
Article number6189032
Pages (from-to)1084-1088
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Volume9
Issue number6
DOIs
Publication statusPublished - 2012 May 8

Fingerprint

bed roughness
Gravel
gravel
laser
Surface roughness
Scanning
Lasers
variogram
bedform
Fractal dimension
footprint
roughness
Anisotropy
anisotropy

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Geotechnical Engineering and Engineering Geology

Cite this

@article{2590eb669ec542568e32b32b9069298e,
title = "Multiscale geostatistical estimation of gravel-bed roughness from terrestrial and airborne laser scanning",
abstract = "The aim of this study is to establish the link between the scaling behavior of gravel-bed roughness of Terrestrial Laser Scanning (TLS) and Airborne Laser Scanning (ALS) data. The fractal dimension calculated from the log-log variogram was used to represent the roughness at two gravel-bed sites with the extent of 6 m × 6 m. In situ digital surface models (DSMs) were generated from TLS. The 3-D point data were collected by ALS, which showed smoothed surfaces of the TLS counterparts. We used the regularization method to derive the variograms of the ALS footprint from the variograms of in situ DSMs and compared it with the variograms of ALS data in the directions of maximum and minimum continuity identified in the 2-D variogram surfaces. Our results confirm that the 2-D variogram surfaces of ALS data show similar anisotropy pattern as their respective TLS-derived DSMs. In addition, we demonstrate that the regularization method is able to establish the scaling relations between TLS-derived DSMs and the ALS data. The results will lead a better understanding of the scaling characteristics of the gravel-bed roughness on the change of measurement scale. To the best of our knowledge, this letter presents the first study of examining the grave-bed roughness of cluster bedforms derived from ALS data.",
author = "Huang, {Guo Hao} and Chi-Kuei Wang",
year = "2012",
month = "5",
day = "8",
doi = "10.1109/LGRS.2012.2189351",
language = "English",
volume = "9",
pages = "1084--1088",
journal = "IEEE Geoscience and Remote Sensing Letters",
issn = "1545-598X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "6",

}

Multiscale geostatistical estimation of gravel-bed roughness from terrestrial and airborne laser scanning. / Huang, Guo Hao; Wang, Chi-Kuei.

In: IEEE Geoscience and Remote Sensing Letters, Vol. 9, No. 6, 6189032, 08.05.2012, p. 1084-1088.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Multiscale geostatistical estimation of gravel-bed roughness from terrestrial and airborne laser scanning

AU - Huang, Guo Hao

AU - Wang, Chi-Kuei

PY - 2012/5/8

Y1 - 2012/5/8

N2 - The aim of this study is to establish the link between the scaling behavior of gravel-bed roughness of Terrestrial Laser Scanning (TLS) and Airborne Laser Scanning (ALS) data. The fractal dimension calculated from the log-log variogram was used to represent the roughness at two gravel-bed sites with the extent of 6 m × 6 m. In situ digital surface models (DSMs) were generated from TLS. The 3-D point data were collected by ALS, which showed smoothed surfaces of the TLS counterparts. We used the regularization method to derive the variograms of the ALS footprint from the variograms of in situ DSMs and compared it with the variograms of ALS data in the directions of maximum and minimum continuity identified in the 2-D variogram surfaces. Our results confirm that the 2-D variogram surfaces of ALS data show similar anisotropy pattern as their respective TLS-derived DSMs. In addition, we demonstrate that the regularization method is able to establish the scaling relations between TLS-derived DSMs and the ALS data. The results will lead a better understanding of the scaling characteristics of the gravel-bed roughness on the change of measurement scale. To the best of our knowledge, this letter presents the first study of examining the grave-bed roughness of cluster bedforms derived from ALS data.

AB - The aim of this study is to establish the link between the scaling behavior of gravel-bed roughness of Terrestrial Laser Scanning (TLS) and Airborne Laser Scanning (ALS) data. The fractal dimension calculated from the log-log variogram was used to represent the roughness at two gravel-bed sites with the extent of 6 m × 6 m. In situ digital surface models (DSMs) were generated from TLS. The 3-D point data were collected by ALS, which showed smoothed surfaces of the TLS counterparts. We used the regularization method to derive the variograms of the ALS footprint from the variograms of in situ DSMs and compared it with the variograms of ALS data in the directions of maximum and minimum continuity identified in the 2-D variogram surfaces. Our results confirm that the 2-D variogram surfaces of ALS data show similar anisotropy pattern as their respective TLS-derived DSMs. In addition, we demonstrate that the regularization method is able to establish the scaling relations between TLS-derived DSMs and the ALS data. The results will lead a better understanding of the scaling characteristics of the gravel-bed roughness on the change of measurement scale. To the best of our knowledge, this letter presents the first study of examining the grave-bed roughness of cluster bedforms derived from ALS data.

UR - http://www.scopus.com/inward/record.url?scp=84863459864&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863459864&partnerID=8YFLogxK

U2 - 10.1109/LGRS.2012.2189351

DO - 10.1109/LGRS.2012.2189351

M3 - Article

VL - 9

SP - 1084

EP - 1088

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

SN - 1545-598X

IS - 6

M1 - 6189032

ER -