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Proceedings Paper

Extraction of bathymetric features using multiple SAR images produced by Sentinel-1
Author(s): Marc Cloarec; Volker Roeber; Thierry Ranchin; Jean Dubranna
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Paper Abstract

Bathymetry, as a key parameter for evaluation of available resources of renewable marine energy, can be extracted from high resolution Synthetic Aperture Radar images acquired by Sentinel-1. In this paper, the high repetitiveness of these acquisitions is used to improve the accuracy of bathymetric maps extracted from SAR images. A method to extract wavelengths from the free surface elevations was developed, through experiments made using a phase-resolving wave propagation model (Boussinesq Ocean and Surf Zone model). It makes use of several different swell conditions propagating over the same bathymetry. The retrieved bathymetry is established by averaging the different bathymetric maps, obtained from different swell conditions. It allows obtaining a Root Mean Square Error of order 4.5 m for depths 10 m to 50 m. Twenty SAR images on a particular region have been processed using this methodology. The extraction of wavelengths and peak periods on each image led to a first estimation of the bathymetric data of this specific region compared to an actual bathymetric map with a 20 m spatial resolution. All these maps have been averaged to create a final bathymetric map with a 50 m spatial resolution and a vertical accuracy given by the RMSE over the entire domain of study of about 2.6 m. These preliminary results are encouraging. Future tracks are proposed for improving these results.

Paper Details

Date Published: 6 August 2018
PDF: 9 pages
Proc. SPIE 10773, Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 107730U (6 August 2018); doi: 10.1117/12.2325096
Show Author Affiliations
Marc Cloarec, MINES ParisTech, PSL Research Univ. (France)
Volker Roeber, Univ. of Hawai'i at Manoa (United States)
Thierry Ranchin, MINES ParisTech, PSL Research Univ. (France)
Jean Dubranna, MINES ParisTech, PSL Research Univ. (France)


Published in SPIE Proceedings Vol. 10773:
Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018)
Kyriacos Themistocleous; Giorgos Papadavid; Silas Michaelides; Vincent Ambrosia; Diofantos G. Hadjimitsis, Editor(s)

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