Application of Structure‐from‐Motion photogrammetry to river restoration

• Published in: Earth surface processes and landforms Vol. 42; no. 3; pp. 503 - 515
• Main Authors: Marteau, Baptiste, Vericat, Damià, Gibbins, Chris, Batalla, Ramon J., Green, David R.
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 15.03.2017; Wiley
• Subjects: Channels; digital elevation models; Earth surface; Environmental Engineering; Environmental Sciences; Extraction; Freshwater; geomorphic change; Geomorphology; high resolution topography; Photogrammetry; Restoration; river restoration; Rivers; structure‐from‐motion; UAV; Workflow; ANE, British Isles, England; river restoration; geomorphic change; high resolution topography; photogrammetry; digital elevation models; UAV; structure-from-motion
• ISSN: 0197-9337; 1096-9837
• DOI: 10.1002/esp.4086

Structure‐from‐Motion (SfM) photogrammetry is now used widely to study a range of earth surface processes and landforms, and is fast becoming a core tool in fluvial geomorphology. SfM photogrammetry allows extraction of topographic information and orthophotos from aerial imagery. However, one field where it is not yet widely used is that of river restoration. The characterisation of physical habitat conditions pre‐ and post‐restoration is critical for assessing project success, and SfM can be used easily and effectively for this purpose. In this paper we outline a workflow model for the application of SfM photogrammetry to collect topographic data, develop surface models and assess geomorphic change resulting from river restoration actions. We illustrate the application of the model to a river restoration project in the NW of England, to show how SfM techniques have been used to assess whether the project is achieving its geomorphic objectives. We outline the details of each stage of the workflow, which extend from preliminary decision‐making related to the establishment of a ground control network, through fish‐eye lens camera testing and calibration, to final image analysis for the creation of facies maps, the extraction of point clouds, and the development of digital elevation models (DEMs) and channel roughness maps. The workflow enabled us to confidently identify geomorphic changes occurring in the river channel over time, as well as assess spatial variation in erosion and aggradation. Critical to the assessment of change was the high number of ground control points and the application of a minimum level of detection threshold used to assess uncertainties in the topographic models. We suggest that these two things are especially important for river restoration applications. Copyright © 2016 John Wiley & Sons, Ltd.