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Coastal modelling topography data by waterline retrieval from Sentinel-1 satellite acquisitions: from method development to a Near Real Time service

Wiehle, Stefan and Pleskachevsky, Andrey and Jacobsen, Sven and Schwarz, Egbert and Daedelow, Holger and Krause, Detmar (2018) Coastal modelling topography data by waterline retrieval from Sentinel-1 satellite acquisitions: from method development to a Near Real Time service. COMOD 2018, 22. - 23. Februar 2018, Hamburg, Germany.

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Official URL: https://www.io-warnemuende.de/comod2018.html


The automatic daily processing of coastlines from Sentinel-1 satellite data for updating the bathymetry to support modelling as part of a Near Real Time chain is being developed. In shallow waters, the physical processes caused by the interaction between waves, currents and the sea bottom become important and are crucial for modelling, requiring current and accurate bathymetry data. The spatial properties of sea state and currents change strongly in coastal areas and especially in the Wadden Sea at the Danish, German and Dutch North Sea coast with large areas of intertidal flats. The morphodynamics of seabed structures are significant in such littoral zones; the soft seabed can change within days during severe storms. Data from past measurement campaigns, which are very expensive using ship soundings and airborne LIDAR scanning, deprecates quickly as the positions of islands, sandbanks or tidal inlets change. Acquisitions from the Sentinel-1 (S1) Synthetic Aperture Radar (SAR) satellites cover most coasts worldwide. With two satellites currently in orbit, the acquisition interval is at most 6 days at the equator and almost daily in our latitudes. The Interferometric Wide Swath (IW) mode covers lands and coastal waters with a swath width of 250km and an image resolution of 10m. In contrast to optical satellites, SAR acquisitions are independent of illumination and cloud cover; hence, they deliver new images very reliably. The DLR satellite ground station in Neustrelitz receives these data and processes and delivers them in Near Real Time (NRT), usually within 20 minutes after acquisition. We have developed automated algorithms to retrieve the waterline from SAR images. In the tidal flat areas of the Wadden Sea, analyzing time series of acquisitions at similar tidal states allows estimating rates of change and sediment transport; a combination of several images acquired within a short time frame at different tidal states allows estimating the topography. Our algorithms for Sentinel-1 SAR images offer a quick and cheap way to spot ongoing processes, verify modelling results and identify regions of major change for future measurement campaigns.

Item URL in elib:https://elib.dlr.de/118280/
Document Type:Conference or Workshop Item (Poster)
Title:Coastal modelling topography data by waterline retrieval from Sentinel-1 satellite acquisitions: from method development to a Near Real Time service
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
Jacobsen, SvenSven.Jacobsen (at) dlr.dehttps://orcid.org/0000-0003-4810-4186
Schwarz, EgbertEgbert.Schwarz (at) dlr.deUNSPECIFIED
Daedelow, HolgerHolger.Daedelow (at) dlr.deUNSPECIFIED
Krause, DetmarDetmar.Krause (at) dlr.deUNSPECIFIED
Date:22 February 2018
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Oceanography, SAR, coastal modelling, topography, waterline retrieval, Sentinel-1, NRT, Near Real Time service
Event Title:COMOD 2018
Event Location:Hamburg, Germany
Event Type:national Conference
Event Dates:22. - 23. Februar 2018
Organizer:KDM Working Group on “Coastal Ocean Modelling”
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 , Neustrelitz , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
German Remote Sensing Data Center > National Ground Segment
Deposited By: Kaps, Ruth
Deposited On:16 Feb 2018 10:34
Last Modified:31 Jul 2019 20:15

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