Can through-water Structure-from-Motion photogrammetry characterize topographic statistics of gravel-bed surfaces?
文献类型：期刊论文
| 作者 | Zhang, Chendi3; Li, Wenqi1,2; Hassan, Marwan A.1 |
| 刊名 | GEOMORPHOLOGY
 |
| 出版日期 | 2025-12-15 |
| 卷号 | 491页码:110045 |
| 关键词 | Gravel-bed river Structure-from-Motion (SfM) Through-water photogrammetry Second-order structural function |
| ISSN号 | 0169-555X |
| DOI | 10.1016/j.geomorph.2025.110045 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Through-water Structure-from-Motion (SfM) photogrammetry can be utilized to acquire high-resolution 3D underwater topographic measurement for gravel-bed surfaces. However, whether the statistical properties of the submerged gravel-bed surfaces, which provides insights for the roughness dimensions, and armoring and structuring processes of bed surfaces, can be characterized by this technique remain unclear. We aimed to fill this knowledge gap by carrying out a series of flume experiments in a straight channel with the spatial scale similar to a natural gravel-bed stream. The conditions of bed surface texture (sand cover vs. gravel cover), flow rate, ground control point (GCP) layout (underwater GCPs vs. dry GCPs), and refraction correction were well controlled. The probability density functions, first four moments, and second-order structural function (SSF) of each submerged surface model were calculated and compared with the corresponding dry bed surfaces to quantify the errors in the topographic statistics. The results show that all the four moments could be accurately estimated from the submerged models for both gravel and sand covered bed surfaces at low flows with limited sediment transport. Underwater GCPs and refraction correction improved the performance of through-water SfM photogrammetry in predicting the four moments for sand- and gravel-bed surface respectively. The large errors in horizontal correlation lengths and hurst coefficients for the bed surfaces made this technique infeasible for estimating these SSF outcomes directly. However, the general shapes and orientations of the 2D contours of SSF were well recorded by the submerged models for both bed textures at various flow conditions. Our results highlight the feasibility of through-water SfM photogrammetry in characterizing the statistical properties of submerged gravel-bed surfaces at low flows and provide recommendations for the use of this technique at high flows with increased sediment transport. |
| URL标识 | 查看原文 |
| WOS研究方向 | Physical Geography ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001594721800001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217484]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Zhang, Chendi; Li, Wenqi |
| 作者单位 | 1.Univ British Columbia, Dept Geog, Vancouver, BC V6T 1Z2, Canada 2.Changjiang River Sci Res Inst, Wuhan 430014, Peoples R China; 3.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Zhang, Chendi,Li, Wenqi,Hassan, Marwan A.. Can through-water Structure-from-Motion photogrammetry characterize topographic statistics of gravel-bed surfaces?[J]. GEOMORPHOLOGY,2025,491:110045. |
| APA | Zhang, Chendi,Li, Wenqi,&Hassan, Marwan A..(2025).Can through-water Structure-from-Motion photogrammetry characterize topographic statistics of gravel-bed surfaces?.GEOMORPHOLOGY,491,110045. |
| MLA | Zhang, Chendi,et al."Can through-water Structure-from-Motion photogrammetry characterize topographic statistics of gravel-bed surfaces?".GEOMORPHOLOGY 491(2025):110045. |
入库方式： OAI收割
来源：地理科学与资源研究所
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