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Chinese Academy of Sciences Institutional Repositories Grid
Assessing Through-Water Structure-from-Motion Photogrammetry in Gravel-Bed Rivers under Controlled Conditions

文献类型:期刊论文

作者Zhang, Chendi1,2,3; Sun, Ao'ran2; Hassan, Marwan A.4; Qin, Chao2
刊名Remote Sensing
出版日期2022-10-26
卷号14期号:21页码:5351
DOIhttps://doi.org/10.3390/rs14215351
英文摘要

Structure-from-Motion (SfM) photogrammetry has become a popular solution for three-dimensional topographic data collection in geosciences and can be used for measuring submerged bed surfaces in shallow and clear water systems. However, the performance of through-water SfM photogrammetry has not been fully evaluated for gravel-bed surfaces, which limits its application to the morphodynamics of gravel-bed rivers in both field investigations and flume experiments. In order to evaluate the influence of bed texture, flow rate, ground control point (GCP) layout, and refraction correction (RC) on the measurement quality of through-water SfM photogrammetry, we conducted a series of experiments in a 70 m-long and 7 m-wide flume with a straight artificial channel. Bed surfaces with strongly contrasting textures in two 4 m-long reaches were measured under five constant flow regimes with three GCP layouts, including both dry and underwater GCPs. All the submerged surface models with/without RC were compared with the corresponding dry bed surfaces to quantify their elevation errors. The results illustrated that the poorly sorted gravel-bed led to the better performance of through-water SfM photogrammetry than the bed covered by fine sand. Fine sediment transport caused significant elevation errors, while the static sand dunes and grain clusters did not lead to noticeable errors in the corrected models with dry GCPs. The elevation errors of the submerged models linearly increased with water depth for all the tested conditions of bed textures, GCP layouts, and discharges in the uncorrected models, but the slopes of the increasing relations varied with texture. The use of underwater GCPs made significant improvements to the performance of direct through-water SfM photogrammetry, but counteracted with RC. The corrected models with dry GCPs outperformed the uncorrected ones with underwater GCPs, which could still be used to correct the underestimation in surface elevation caused by RC. Based on the new findings, recommendations for through-water SfM photogrammetry in measuring submerged gravel-bed surfaces were provided.

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语种英语
源URL[http://ir.igsnrr.ac.cn/handle/311030/184624]  
专题陆地表层格局与模拟院重点实验室_综合自然地理研究室
作者单位1.Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2.State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
3.Department of Geography, University of British Columbia, Vancouver, BC V6T 1Z2, Canada
4.State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
推荐引用方式
GB/T 7714
Zhang, Chendi,Sun, Ao'ran,Hassan, Marwan A.,et al. Assessing Through-Water Structure-from-Motion Photogrammetry in Gravel-Bed Rivers under Controlled Conditions[J]. Remote Sensing,2022,14(21):5351.
APA Zhang, Chendi,Sun, Ao'ran,Hassan, Marwan A.,&Qin, Chao.(2022).Assessing Through-Water Structure-from-Motion Photogrammetry in Gravel-Bed Rivers under Controlled Conditions.Remote Sensing,14(21),5351.
MLA Zhang, Chendi,et al."Assessing Through-Water Structure-from-Motion Photogrammetry in Gravel-Bed Rivers under Controlled Conditions".Remote Sensing 14.21(2022):5351.

入库方式: OAI收割

来源:地理科学与资源研究所

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