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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/2410

Title: A transferable method for the automated grain sizing of river gravels
Authors: Graham, David J.
Rice, Stephen P.
Reid, Ian
Keywords: Grain-size distribution
Grain-size analysis
Digital imagery
Fluvial geomorphology
Image processing
Issue Date: 2005
Publisher: © American Geophysical Union
Citation: GRAHAM, D.J., RICE, S.P. and REID, I., 2005. A transferable method for the automated grain sizing of river gravels. Water Resources Research, 41 (7)
Abstract: The spatial and temporal resolution of surface grain-size characterization is constrained by the limitations of traditional measurement techniques. In this paper we present an extremely rapid image-processing-based procedure for the measurement of exposed fluvial gravels and other coarsegrained sediments, defining the steps required to minimize the errors in the derived grain-size distribution. This procedure differs significantly from those used previously. It is based around a robust object-detection algorithm that produces excellent results on images exhibiting a wide range of sedimentary conditions, crucially, without any user intervention or site-specific parameterization. The procedure is tested using a dataset comprising 39 images from three rivers with contrasting grain lithology, shape, roundness and packing configuration and representing a very wide range of textures. It is shown to perform more consistently than the best existing automated method, achieving a precision equivalent to that obtainable by Wolman sampling, but taking between one sixth and one twentieth of the time. The error in area-by-number grain-size distribution percentiles is typically less than 0.05 Ï .
Description: This article was published in the journal, Water resources research [© American Geophysical Union] and is also available at: http://www.agu.org/journals/wr/
URI: https://dspace.lboro.ac.uk/2134/2410
ISSN: 0043-1397
Appears in Collections:Published Articles (Geography and Environment)

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