Projects per year
Quantifying the morphology of braided rivers is a key task for understanding braided river behaviour. In the last decade, developments in geomatics technologies and associated data processing methods have transformed the production of precise, reach-scale topographic datasets. Nevertheless, generating accurate Digital Elevation Models (DEMs) remains a demanding task, particularly in fluvial systems. This paper identifies a threefold set of challenges associated with surveying these dynamic landforms: complex relief, inundated shallow channels and high rates of sediment transport, and terms these challenges the ‘morphological’, ‘wetted channel’ and ‘mobility’ problems, respectively. In an attempt to confront these issues directly, this paper presents a novel survey methodology that combines mobile terrestrial laser scanning and non-metric aerial photography with data reduction and surface modelling techniques to render DEMs from the resulting very high resolution datasets. The approach is used to generate and model a precise, dense topographic dataset for a 2.5 km reach of the braided Rees River, New Zealand. Data were acquired rapidly between high flow events and incorporate over 5 x 109 raw survey observations with point densities of 1600 pts m-2 on exposed bar and channel surfaces. A detailed error analysis of the resulting sub-metre resolution is described to quantify DEM quality across the entire surface model. This reveals unparalleled low vertical errors for such a large and complex surface model; between 0.03 and 0.12 m in exposed and inundated areas of the model, respectively.
|Number of pages||18|
|Journal||Earth Surface Processes and Landforms|
|Early online date||20 Jun 2013|
|Publication status||Published - Feb 2014|
- Bathymetric mapping
- braided river
- terrestrial laser scanning
- water surface mapping
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- 1 Finished
Hyperscale Modelling of Braided rivers : Linking Morphology, Sedimentology and Sediment transport
Natural Environment Research Council
01 May 2009 → 30 Apr 2011
Project: Externally funded research