Bedload transport measurement in a Japanese gravel river using synchronized hydrodynamic and hydroacoustic pressure sensing

Tsubaki, Ryota; Fuentes‐Pérez, Juan Francisco; Kawamura, Satomi; Tuhtan, Jeffrey A.; Sumitomo, Keizo

doi:10.1201/b22619-204

Cited by 2 publications

(1 citation statement)

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“…Video sequences were obtained using the proposed system during flushing discharge from a dam. The river section surveyed in our study is a side channel within the downstream reach of the Satsunai River, a tributary of the Tokachi River (Japan) system (Figure 7, Tsubaki et al, 2020;Zhu and Tsubaki, 2020). The Satsunai River Dam, a multipurpose dam (Figure 7B), discharged water.…”

Section: Site Descriptionmentioning

confidence: 99%

Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground Camera

Tsubaki

Zhu

2021

Front. Water

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Image-based stream flow observation consists of three components: (i) image acquisition, (ii) ortho-rectification, and (iii) an image-based velocity estimation. Ortho-rectification is a type of coordinate transformation. When ortho-rectifying a raster image, pixel interpolation is needed and causes the degradation of image resolution, especially in areas located far from the camera and in the direction parallel to the viewing angle. When measuring the water surface flow of rivers with a wide channel width, reduced and distorted image resolution limits the applicability of image-based flow observations using terrestrial image acquisition. Here, we propose a new approach for ortho-rectification using an optical system. We employed an optical system embedded in an ultra-short throw projector. In the proposed approach, ortho-rectified images were obtained during the image acquisition phase, and the image resolution of recorded images was almost uniform in terms of physical coordinates. By conducting field measurements, characteristics of the proposed approach were validated and compared to a conventional approach.

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Section: Site Descriptionmentioning

confidence: 99%