Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
doi:10.5194/nhess-2017-42
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
02 Feb 2017
Review status
This discussion paper is under review for the journal Natural Hazards and Earth System Sciences (NHESS).
Application of UAV-SfM photogrammetry and aerial LiDAR to a disastrous flood: multitemporal topographic measurement of a newly formed crevasse splay of the Kinu River, central Japan
Atsuto Izumida1, Shoichiro Uchiyama1,2, and Toshihiko Sugai1 1Department of Natural Environmental Studies, the University of Tokyo, Kashiwa, Chiba 277-8563, Japan
2National Research Institute for Earth Science and Disaster Prevention, Tsukuba, Ibaraki 305-0006, Japan
Abstract. Geomorphic impacts of a disastrous crevasse splay that formed in September 2015 and its post-formation modifications were quantitatively documented by using multitemporal, high-definition digital surface models (DSMs) of an inhabited and cultivated floodplain of the Kinu River, central Japan. The DSMs used were based on pre-flood (resolution, 2 m) and post-flood (resolution, 1 m) aerial light detection and ranging (LiDAR) data from January 2007 and September 2015, respectively, and structure-from-motion (SfM) photogrammetry data (resolution, 3.8 cm) derived from aerial photos taken by an unmanned aerial vehicle (UAV) in December 2015. After elimination of systematic errors among the DSMs, differential DSMs were produced by subtraction and topographic changes on the order of 10−1 m were detected. These changes were found to be consistent with previously reported ground survey data. The detected changes included not only topographic changes but also growth of vegetation, vanishing of floodwaters, and restoration and repair works carried out by people. The results suggest that DSMs with different resolutions and acquisition periods acquired by using a combination of UAV-SfM and LiDAR data can be used to quantify, rapidly and in rich detail, sudden topographic changes on floodplains caused by floods. Moreover, they have the great advantage that they can be used to archive such changes that occur in residential areas and urban areas where their preservation potential is low.

Citation: Izumida, A., Uchiyama, S., and Sugai, T.: Application of UAV-SfM photogrammetry and aerial LiDAR to a disastrous flood: multitemporal topographic measurement of a newly formed crevasse splay of the Kinu River, central Japan, Nat. Hazards Earth Syst. Sci. Discuss., doi:10.5194/nhess-2017-42, in review, 2017.
Atsuto Izumida et al.
Atsuto Izumida et al.
Atsuto Izumida et al.

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Short summary
Geomorphic impacts of the 2015 flood of the Kinu River were quantified by multitemporal digital surface models (DSMs) based on aerial LiDAR and UAV photogrammetry. Elevation changes on the order of 0.1 m, including natural and anthropogenic processes on the topography, were detected. The results suggest that DSMs acquired by a combination of UAV-SfM and LiDAR data can be used to quantify sudden topographic changes on floodplains caused by floods.
Geomorphic impacts of the 2015 flood of the Kinu River were quantified by multitemporal digital...
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