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Sea State Retrieval from Sentinel-1 Imagery as Support of Maritime Situation Awareness

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. PORSEC 2018, 04.-07. Nov. 2018, Jeju Island, the Republic of Korea.

Full text not available from this repository.

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/124602/
Document Type:Conference or Workshop Item (Poster)
Additional Information:presented by: Björn Tings
Title:Sea State Retrieval from Sentinel-1 Imagery as Support of Maritime Situation Awareness
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Pleskachevsky, AndreyAndrey.Pleskachevsky (at) dlr.deUNSPECIFIED
Jacobsen, SvenSven.Jacobsen (at) dlr.dehttps://orcid.org/0000-0003-4810-4186
Tings, BjörnBjoern.Tings (at) dlr.dehttps://orcid.org/0000-0002-1945-6433
Schwarz, EgbertEgbert.Schwarz (at) dlr.deUNSPECIFIED
Krause, DetmarDetmar.Krause (at) dlr.deUNSPECIFIED
Date:November 2018
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Oceanography, SAR, sea state, Sentinel-1, maritime situation awareness
Event Title:PORSEC 2018
Event Location:Jeju Island, the Republic of Korea
Event Type:international Conference
Event Dates:04.-07. Nov. 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:08 Dec 2018 14:47
Last Modified:08 Dec 2018 14:47

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