Articles | Volume 17, issue 9
https://doi.org/10.5194/nhess-17-1505-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-1505-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Sep 2017
Research article |
| 13 Sep 2017
Application of UAV-SfM photogrammetry and aerial lidar to a disastrous flood: repeated topographic measurement of a newly formed crevasse splay of the Kinu River, central Japan
Atsuto Izumida
CORRESPONDING AUTHOR
Graduate School of Frontier Sciences, the University of Tokyo, Kashiwa, Chiba 277-8563, Japan
Shoichiro Uchiyama
Graduate School of Frontier Sciences, the University of Tokyo, Kashiwa, Chiba 277-8563, Japan
National Research Institute for Earth Science and Disaster Prevention,
Tsukuba, Ibaraki 305-0006, Japan
Toshihiko Sugai
Graduate School of Frontier Sciences, the University of Tokyo, Kashiwa, Chiba 277-8563, Japan
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- Influence of flight altitude and control points in the georeferencing of images obtained by unmanned aerial vehicle L. Santos Santana et al. 10.1080/22797254.2020.1845104
- Social networks impact flood risk mitigation behavior: A case study of lidar adoption in the Pacific Northwest, US T. Pozzi & V. Hillis 10.1016/j.crm.2023.100527
- Flood Susceptibility Mapping Using Logistic Regression Analysis In Lam Khan Chu Watershed, Chaiyaphum Province, Thailand K. Waiyasusri et al. 10.24057/2071-9388-2022-159
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- UAV-borne, LiDAR-based elevation modelling: a method for improving local-scale urban flood risk assessment K. Trepekli et al. 10.1007/s11069-022-05308-9
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- DEM Generation from Fixed-Wing UAV Imaging and LiDAR-Derived Ground Control Points for Flood Estimations J. Escobar Villanueva et al. 10.3390/s19143205
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26 citations as recorded by crossref.
- Rivers Try Harder. Reversed “Differential Erosion” as Geological Control of Flood in the Large Fluvial Systems in Poland J. Bihałowicz & G. Wierzbicki 10.3390/w13040424
- Unmanned Aerial Systems-Aided Post-Flood Peak Discharge Estimation in Ephemeral Streams E. Andreadakis et al. 10.3390/rs12244183
- The application of UAV-derived SfM-MVS photogrammetry for the investigation of storm wave boulder deposits on a small rocky island in the semi-enclosed Northern Adriatic Sea V. Vaccher et al. 10.1080/19475705.2023.2295817
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- Experience of using non‐specialized unmanned aerial vehicles for aerial surveys in the studies of exogenous geological processes A. Rybchenko et al. 10.5800/GT-2019-10-4-0457
- Influence of flight altitude and control points in the georeferencing of images obtained by unmanned aerial vehicle L. Santos Santana et al. 10.1080/22797254.2020.1845104
- Social networks impact flood risk mitigation behavior: A case study of lidar adoption in the Pacific Northwest, US T. Pozzi & V. Hillis 10.1016/j.crm.2023.100527
- Flood Susceptibility Mapping Using Logistic Regression Analysis In Lam Khan Chu Watershed, Chaiyaphum Province, Thailand K. Waiyasusri et al. 10.24057/2071-9388-2022-159
- Preface: The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazards D. Giordan et al. 10.5194/nhess-18-3085-2018
- Geological setting control of flood dynamics in lowland rivers (Poland) G. Wierzbicki et al. 10.1016/j.scitotenv.2018.04.250
- Using UAV LiDAR to Extract Vegetation Parameters of Inner Mongolian Grassland X. Zhang et al. 10.3390/rs13040656
- Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
- Multiscale characterization of splays produced by a historic, rain‐on‐snow flood on a large braided stream (Platte River, Central USA) J. Korus et al. 10.1002/esp.5997
- Individual Tree Canopy Parameters Estimation Using UAV-Based Photogrammetric and LiDAR Point Clouds in an Urban Park E. Ghanbari Parmehr & M. Amati 10.3390/rs13112062
- KNN Local Linear Regression for Demarcating River Cross-Sections with Point Cloud Data from UAV Photogrammetry URiver-X T. Lee et al. 10.3390/rs16101820
- Geomorphic effectiveness of check dams in a debris-flow catchment using multi-temporal topographic surveys S. Cucchiaro et al. 10.1016/j.catena.2018.11.004
- Comparing LiDAR and SfM digital surface models for three land cover types J. Liao et al. 10.1515/geo-2020-0257
- UAV-borne, LiDAR-based elevation modelling: a method for improving local-scale urban flood risk assessment K. Trepekli et al. 10.1007/s11069-022-05308-9
- The use of UAVs for landslide disaster risk research and disaster risk management: a literature review R. Garnica-Peña & I. Alcántara-Ayala 10.1007/s11629-020-6467-7
- DEM Generation from Fixed-Wing UAV Imaging and LiDAR-Derived Ground Control Points for Flood Estimations J. Escobar Villanueva et al. 10.3390/s19143205
- Statewide USGS 3DEP Lidar Topographic Differencing Applied to Indiana, USA C. Scott et al. 10.3390/rs14040847
- Quantification and visualization of flood-induced morphological changes in meander structures by UAV-based monitoring S. Akay et al. 10.1016/j.jestch.2021.05.020
1 citations as recorded by crossref.
Latest update: 25 Dec 2024
Short summary
Geomorphic impact of the 2015 flood of the Kinu River, which created a new crevasse splay on its floodplain, was quantified by volumetric calculations using three topographic data obtained by aerial laser scanning (ALS) and UAV photogrammetry. Topographic changes on the order of 0.1 m were detected, and the erosive character of the crevasse splay was revealed. The results suggest that a combination of ALS and UAV is useful for quantification of sudden topographic changes through disasters.
Geomorphic impact of the 2015 flood of the Kinu River, which created a new crevasse splay on its...
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