(Article of periodic en Anglais - 2013)

Document title

A method for semi-automated objective quantification of linear bedforms from multi-scale digital elevation models

Authors(s) and Affiliation(s)

CAZENAVE P.W. (1) ; DIX J.K. (1) ; LAMBKIN D.O. (2) ; MCNEILL L.C. (1) ;
(1) School of Ocean and Earth Science, National Oceanography Centre, Southampton, ROYAUME-UNI
(2) ABP Marine Environmental Research Ltd, Southampton, ROYAUME-UNI


The AA. (i) adapt and extend extant techniques to provide a suite of semi-automatic tools which calculate crest orientation, wavelength, height, asymmetry direction and asymmetry ratios of bedforms, and then (ii) undertake sensitivity tests on synthetic data, increasingly complex seabeds and a very large-scale (39 000 km2) aeolian dune system. The automated results are compared with traditional, manually derived, measurements at each stage. This new approach successfully analyses different types of topographic data (from aeolian and marine environments) from a range of sources, with tens of millions of data points being processed in a semi-automated and objective manner within minutes rather than hours or days. The results show there is significant variability in all measurable parameters in what might otherwise be considered uniform bedform fields. For example, the dunes of the Rub' al Khali on the Arabian peninsula are shown to exhibit deviations in dimensions from global trends. Morphological and dune asymmetry analysis of the Rub' al Khali suggests parts of the sand sea may be adjusting to a changed wind regime from that during their formation 100 to 10 ka BP


Article of periodic

published at : Earth surface processes and landforms / ISSN 0197-9337 / CODEN ESPLDB

Editor : Wiley, Chichester - ROYAUME-UNI (1981)

Millesime : 2013, vol. 38, no3 [pp. 221-236]

Bibliographic references : 2 p.

Collation : 13 fig., 3 tabl.



INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.3269

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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