Estimation of distributed flow resistance in vegetated rivers using airborne topo‐bathymetric LiDAR and its application to risk management tasks for Asahi River flooding-Reference-Cited by-同舟云学术

Estimation of distributed flow resistance in vegetated rivers using airborne topo‐bathymetric LiDAR and its application to risk management tasks for Asahi River flooding

Published:2019-12-12 Issue:1 Volume:13 Page:
ISSN:1753-318X
Container-title:Journal of Flood Risk Management
language:en
Short-container-title:J Flood Risk Management

Author:

Yoshida Keisuke¹^ORCID,Maeno Shiro¹,Ogawa Shuhei¹,Mano Koji²,Nigo Shinya³

Affiliation:

1. Graduate School of Environmental and Life ScienceOkayama University Okayama Japan

2. Pasco Corporation Osaka Japan

3. Ota River Office, Chugoku Regional Development BureauMinistry of Land, Infrastructure, Transport and Tourism Hiroshima Japan

Funder

JSPS KAKENHI

the Electric Technology Research Foundation of Chugoku

the Takahashi Industrial and Economic Research Foundation

the Wesco Scientific Promotion Foundation

Publisher

Wiley

Subject

Water Science and Technology,Safety, Risk, Reliability and Quality,Geography, Planning and Development,Environmental Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfr3.12584

Reference35 articles.

1. Spectral-ALS data fusion for different roughness parameterizations of forested floodplains

2. Fujikane M. Chino T. &Maeno S.(2016). Flood control plan for the Asahi River bifurcation point using a fixed weir constructed in the Edo period. InProc. IAHR‐APD 2016 Sri Lanka.

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessment of spawning habitat suitability for Amphidromous Ayu (Plecoglossus altivelis) in tidal Asahi River sections in Japan: Implications for conservation and restoration;River Research and Applications;2024-06-02

2. Development and characterization of expressed sequence tag-simple sequence repeat markers for <i>Anaphalis margaritacea</i> var. <i>yedoensis</i> (Asteraceae);Genes & Genetic Systems;2023-10-01

3. Quantitative Evaluation of Bathymetric LiDAR Sensors and Acquisition Approaches in Lærdal River in Norway;Remote Sensing;2023-01-02

4. Three-dimensional numerical modelling of floods in river corridor with complex vegetation quantified using airborne LiDAR imagery;Journal of Hydraulic Research;2022-11-28

5. Dynamic Roughness Modeling of Seasonal Vegetation Effect: Case Study of the Nanakita River;Water;2022-11-12