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Automatic bathymetry retrieval from SAR images

Wiehle, Stefan and Pleskachevsky, Andrey and Gebhardt, Claus P. (2019) Automatic bathymetry retrieval from SAR images. CEAS Space Journal, 11 (1), pp. 105-114. Springer. DOI: 10.1007/s12567-018-0234-4 ISBN (Online ISSN 1868-2510) ISSN 1868-2502

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Official URL: https://doi.org/10.1007/s12567-018-0234-4

Abstract

Bathymetry, the topography of the sea floor, is in high demand due to the increase in offshore constructions like wind parks. It is also an important dataset for climate change modelling, when sea level rises and changes in circulation currents are to be simulated. The retrieval of accurate bathymetry data is a cost-intensive task usually requiring a survey vessel charting the respective area. However, bathymetry can also be retrieved remotely using data from Earth observation satellites. The main point of this study is the development of a processor that allows the automatic derivation of gridded bathymetry information from spaceborne Synthetic Aperture Radar (SAR) data. Observations of sea state modifications in SAR images are used to derive the bathymetry in shelf areas using the shoaling effect, which causes wavelengths to become shorter when reaching shallower waters. The water depth is derived using the dispersion relation for surface water waves, which requires wavelength and wave period as input parameters. While the wavelength can be directly retrieved from the SAR image, for the peak period additional information and procedures are required, e.g. local measurements or complex SAR data. A method for automatically deriving the wave period for swell waves in SAR images was developed and tested in this paper. It uses depth data from public databases as initial values which are compared to derived depths iterating through possible peak periods along the calculation grid; the peak period resulting in a minimal root-mean-square deviation is then used for bathymetry calculation. The bathymetry derived from a TerraSAR-X acquisition of the Channel Islands is presented; the resulting peak wave period of 11.3 s fits well to nearby in situ measurement data.

Item URL in elib:https://elib.dlr.de/111590/
Document Type:Article
Additional Information:Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Cite this article as: Wiehle, S., Pleskachevsky, A. & Gebhardt, C. CEAS Space J (2019) 11: 105. https://doi.org/10.1007/s12567-018-0234-4
Title:Automatic bathymetry retrieval from SAR images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wiehle, Stefanstefan.wiehle (at) dlr.dehttps://orcid.org/0000-0003-1476-6261
Pleskachevsky, Andreyandrey.pleskachevsky (at) dlr.deUNSPECIFIED
Gebhardt, Claus P.claus.gebhardt (at) dlr.dehttps://orcid.org/0000-0003-4811-6267
Date:2019
Journal or Publication Title:CEAS Space Journal
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:11
DOI :10.1007/s12567-018-0234-4
Page Range:pp. 105-114
Editors:
EditorsEmail
UNSPECIFIEDSpringer Vienna
Publisher:Springer
Series Name:Special Issue on EMSec – Real Time Services for Maritime Safety and Security
ISSN:1868-2502
ISBN:(Online ISSN 1868-2510)
Status:Published
Keywords:bathymetry, SAR, oceanography
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - SAR-Methodology
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Kaps, Ruth
Deposited On:10 Jan 2019 11:46
Last Modified:14 Dec 2019 04:27

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