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Detection and description of sand dunes using a geomorphometric approach

Julien Ogor 1, 2 Nathalie Debese 3, 4 Benoit Zerr 4, 1, 2 Thierry Garlan 5
1 Lab-STICC_ENSTAB_CID_SFIIS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Lab-STICC_ENSTAB_CID_PRASYS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_ENSTAB_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
4 Pôle STIC_OSM
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
Abstract : In the last decades, sandbanks and sand dunes of various shapes and sizes have been found and described on continental shelves all over the world. These structures tend to migrate and our understanding of the mechanisms regulating their dynamics is limited. These sandbanks became a concern due to the fact that they interfere with the human activities at sea. Consequently, their presence has economical and environmental impacts. The purpose of this study is to automatically detect these dunes in DTMs (Digital Terrain Models) generated from MBES data. So far, automatic techniques aiming at describing marine dune fields have always brought information such as the height, dune spacing or the orientation at local scale but never went down to a dune scale. Currently, the dunes are still manually digitized and then form parameters are calculated. This task is tedious and time-consuming. In addition, the amount of data to process being always bigger, it gets difficult for operators to keep the pace. To address this issue, we propose a geomorphometric approach. Attributes such as the slope or curvatures are estimated from DTMs. A combined analysis of the metrics maps enables to extract dunes from their environment. The following step is the determination of parameters characterizing the shape and size for each dune. This work provides knowledge about dune fields at a detailed level. Thus, the composition, spatial distribution and other aspects of sand banks can be obtained. Further research can be conducted in order to learn more about the dynamics of dune fields at an individual level.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01373425
Contributor : Annick Billon-Coat <>
Submitted on : Wednesday, September 28, 2016 - 5:06:29 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:56 PM

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  • HAL Id : hal-01373425, version 1

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Julien Ogor, Nathalie Debese, Benoit Zerr, Thierry Garlan. Detection and description of sand dunes using a geomorphometric approach. Seabed and Sediment Acoustics: Measurements and Modelling, University of Bath, Sep 2015, Bath, United Kingdom. ⟨hal-01373425⟩

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