TY - JOUR
T1 - Characterizing vegetated rivers using novel unmanned aerial vehicle-borne topo-bathymetric green lidar
T2 - Seasonal applications and challenges
AU - Islam, Md Touhidul
AU - Yoshida, Keisuke
AU - Nishiyama, Satoshi
AU - Sakai, Koichi
AU - Tsuda, Tomoyuki
N1 - Funding Information:
The authors appreciate the Chugoku Regional Development Bureau, Ministry of Land, Infrastructure, Transport and Tourism, Japan, for offering necessary data collected at the Makiyama Hydraulic Station along the Asahi River. Furthermore, this research was funded in part by Japan Society for the Promotion of Science (JSPS) KAKENHI Grant No. 18K04370 and Chugoku Kensetsu Kousaikai. The authors would also like to express their gratitude to the anonymous reviewer for their useful comments and suggestions on the manuscript.
Publisher Copyright:
© 2021 John Wiley & Sons Ltd.
PY - 2021
Y1 - 2021
N2 - Topo-bathymetric surveys of stream channels and floodplains, along with their vegetation distributions, are difficult and expensive to quantify, but they are crucially important for balanced river management, addressing issues such as flood risk and ecosystem management. This study was conducted to demonstrate seasonal accuracy for the first time, appraising results of a novel cost-effective unmanned aerial vehicle (UAV)-borne topo-bathymetric light detection and ranging (lidar) used to examine the vegetated and gravel-bedded lower Asahi River, Japan. Compared with autumn, the winter findings were almost identical to those from ground-truth observations with outperformed accuracy ranging from around 2 to 12 cm of root-mean-square-error values. The results were compatible with the corresponding high-resolution aerial image. During winter, the three-dimensional laser point clouds identified details of the submerged artificial infrastructure of the river and the continuous topography of underwater (shallower than or equal to 2.08 m depth) and overland areas. In comparison, the autumn's bathymetric performance was limited to a depth of 1.20 m and turbidity of 5.50 NTU because measurements were conducted after a flooding event. Furthermore, this study applied novel approaches for accurate land cover mapping and vegetation height assessment, which can be readily applied in future riverine vegetation appraisal studies. In conclusion, because the point cloud data can be useful as input and validation data in hydrodynamic-numerical models and riparian vegetation identification, lidar can be regarded as a technique to inform the management of clear-flowing and shallow streams with vegetated floodplains.
AB - Topo-bathymetric surveys of stream channels and floodplains, along with their vegetation distributions, are difficult and expensive to quantify, but they are crucially important for balanced river management, addressing issues such as flood risk and ecosystem management. This study was conducted to demonstrate seasonal accuracy for the first time, appraising results of a novel cost-effective unmanned aerial vehicle (UAV)-borne topo-bathymetric light detection and ranging (lidar) used to examine the vegetated and gravel-bedded lower Asahi River, Japan. Compared with autumn, the winter findings were almost identical to those from ground-truth observations with outperformed accuracy ranging from around 2 to 12 cm of root-mean-square-error values. The results were compatible with the corresponding high-resolution aerial image. During winter, the three-dimensional laser point clouds identified details of the submerged artificial infrastructure of the river and the continuous topography of underwater (shallower than or equal to 2.08 m depth) and overland areas. In comparison, the autumn's bathymetric performance was limited to a depth of 1.20 m and turbidity of 5.50 NTU because measurements were conducted after a flooding event. Furthermore, this study applied novel approaches for accurate land cover mapping and vegetation height assessment, which can be readily applied in future riverine vegetation appraisal studies. In conclusion, because the point cloud data can be useful as input and validation data in hydrodynamic-numerical models and riparian vegetation identification, lidar can be regarded as a technique to inform the management of clear-flowing and shallow streams with vegetated floodplains.
KW - floodplain vegetation
KW - hydrodynamic modeling
KW - seasonal accuracy
KW - submerged infrastructure reproducibility
KW - topo-bathymetric lidar
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U2 - 10.1002/rra.3875
DO - 10.1002/rra.3875
M3 - Article
AN - SCOPUS:85117901234
JO - River Research and Applications
JF - River Research and Applications
SN - 1535-1459
ER -