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Poster De Conférence Année : 2016

Towards the automation of sand dune detection in the bathymetry


Introduction The advances in echo sounder (MultiBeam EchoSounder) and positioning (GPS) technologies of the past two decades enabled us to survey larger areas, faster and more accurately. The collected data show how diverse underwater sand dunes are in terms of shape, spatial organization, dimensions, dynamics, etc. To deal with this large amount of bathymetric data, manual processing appears outdated. By consequent, tools allowing to quantitatively describe their morphology and dynamics have been developed [1,2,3]. It mainly enables to objectively characterize the sand dunes and banks. Unlike the existing tools, we aim at describing each dune independently with a set of morphometric parameters. With this goal of dune characterization, the first step consists in detecting the dunes in the bathymetry. As a preliminary approach, we propose a detection technique inspired from geomorphometry.
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hal-01373458 , version 1 (28-09-2016)


  • HAL Id : hal-01373458 , version 1


Julien Ogor, Benoit Zerr. Towards the automation of sand dune detection in the bathymetry. Marine and River Dune Dynamics Conference, Apr 2016, Gwynned, United Kingdom. 2016. ⟨hal-01373458⟩
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