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Quantifying different riverbank erosion processesduring an extreme flood event

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TLDR
In this paper, the authors demonstrate how multi-temporal LiDAR and high-resolution aerial imagery can be used to determine processes and volumes of riverbank erosion at a catchment scale.
Abstract
Riverbank erosion is a major contributor to catchment sediment budgets. At large spatial scales data is often restricted to planform channel change, with little information on process distributions and their sediment contribution. This study demonstrates how multi-temporal LiDAR and high resolution aerial imagery can be used to determine processes and volumes of riverbank erosion at a catchment scale. Remotely sensed data captured before and after an extreme flood event, enabled a digital elevation model of difference (DoD) to be constructed for the channel and floodplain. This meant that: the spatial area that could be assessed was extensive; three-dimensional forms of bank failures could be mapped at a resolution that enabled process inference; and the volume and rates of different bank erosion processes over time could be assessed. A classification of riverbank mass failures, integrating form and process, identified a total of 437 mass failure polygons throughout the study area. These were interpreted as wet flow mass failures based on the presence of a well defined scarp wall and the absence of failed blocks on the failure floor. The failures appeared to be the result of: bank exfiltration, antecedent moisture conditions preceding the event, and the historic development of the channel. Using one-dimensional hydraulic modelling to delineate geomorphic features within the main boundary of the macrochannel, an estimated 1 466 322m2 of erosion was interpreted as fluvial entrainment, occurring across catchment areas from 30 to 1668 km2. Only 8% of the whole riverbank planform area was occupied by mass failures, whilst fluvial entrainment covered 33%. A third of the volume of material eroded came from mass failures, even though they occupied 19% of the eroded bank area. The availability of repeat LiDAR surveys, combined with high-resolution aerial photography, was very effective in erosion process determination and quantification at a large spatial scale

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Citations
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UAS-based remote sensing of fluvial change following an extreme flood event

TL;DR: In this article, the effects of large floods on river morphology are variable and poorly understood, and the authors apply multi-temporal datasets collected with small unmanned aircraft systems (UASs) to analyze three-dimensional morphodynamic changes associated with an extreme flood event that occurred from 19 to 23 June 2013 on the Elbow River, Alberta.
Journal ArticleDOI

Bank erosion in agricultural drainage networks: new challenges from structure-from-motion photogrammetry for post-event analysis

TL;DR: In this article, a low-cost methodology for the analysis of bank erosion in agricultural drainage networks, and in particular for the estimation of the volumes of eroded and deposited material, was proposed.
Journal ArticleDOI

The use of multi temporal LiDAR to assess basin-scale erosion and deposition following the catastrophic January 2011 Lockyer flood, SE Queensland, Australia

TL;DR: In this paper, the authors presented an assessment of the basin-scale spatial patterns of erosion, deposition, and net morphological change that resulted from a catastrophic flood event in the Lockyer Creek catchment of SE Queensland (SEQ) in January 2011.
Journal ArticleDOI

Geomorphic response to an extreme flood in two Mediterranean rivers (northeastern Sardinia, Italy): Analysis of controlling factors

TL;DR: In this paper, the authors investigated the response of channel reaches in a Mediterranean environment featuring different morphological settings (i.e., alluvial, semi-alluvial and bedrock boundaries) with the aims of detecting the morphological effects of this large flood and analyzing a range of morphological and hydraulic variables as potential controlling factors of channel response.
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