Pleskachevsky, Andrey and Jacobsen, Sven and Tings, Björn and Schwarz, Egbert and Krause, Detmar (2018) Sea State Retrieval from Sentinel-1 Imagery as Support of Maritime Situation Awareness. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, pp. 961-966. VDE Verlag GmbH, Berlin, Offenbach. EUSAR 2018, 04. - 07. June 2018, Aachen, Germany. ISBN 978-3-8007-4636-1 ISSN 2197-4403
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Official URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438154
Abstract
From Synthetic Aperture Radar (SAR) imagery various types of maritime information are extractable, including surface winds, waves, oil slicks, waterline changes, changes of seabed morphology in shallow waters, wakes of ships, etc. The algorithms recently developed for this purpose are integrated into a prototype processor for Sentinel-1 (S-1) imagery. The DLR Ground Station Neustrelitz applies this prototype as part of a near real-time demonstrator service for support of Maritime Situation Awareness. The presented scientific service involves daily provision of surface wind and sea state parameters estimated fully automatic from S-1 Interferometric Wide Swath (IW) images for North and Baltic Sea.
Item URL in elib: | https://elib.dlr.de/118180/ | ||||||||||||||||||
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Document Type: | Conference or Workshop Item (Poster) | ||||||||||||||||||
Additional Information: | https://conference.vde.com/eusar/2018/documents/eusar_2018_program.pdf | ||||||||||||||||||
Title: | Sea State Retrieval from Sentinel-1 Imagery as Support of Maritime Situation Awareness | ||||||||||||||||||
Authors: |
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Date: | 6 June 2018 | ||||||||||||||||||
Journal or Publication Title: | Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR | ||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||
Page Range: | pp. 961-966 | ||||||||||||||||||
Publisher: | VDE Verlag GmbH, Berlin, Offenbach | ||||||||||||||||||
Series Name: | Electronic Proceedings | ||||||||||||||||||
ISSN: | 2197-4403 | ||||||||||||||||||
ISBN: | 978-3-8007-4636-1 | ||||||||||||||||||
Status: | Published | ||||||||||||||||||
Keywords: | Oceanography, SAR, sea state, Sentinel-1, maritime situation awareness | ||||||||||||||||||
Event Title: | EUSAR 2018 | ||||||||||||||||||
Event Location: | Aachen, Germany | ||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||
Event Dates: | 04. - 07. June 2018 | ||||||||||||||||||
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: | 20 Apr 2018 11:49 | ||||||||||||||||||
Last Modified: | 31 Jul 2019 20:15 |
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