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Meteo-Marine Parameters from Sentinel-1 SAR Imagery: Towards Near Real-Time Services for the Baltic Sea

Rikka, Sander and Pleskachevsky, Andrey and Jacobsen, Sven and Alari, Victor and Uiboupin, Rivo (2018) Meteo-Marine Parameters from Sentinel-1 SAR Imagery: Towards Near Real-Time Services for the Baltic Sea. Remote Sensing, 10 (5), pp. 1-17. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs10050757 ISSN 2072-4292

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Official URL: http://dx.doi.org/10.3390/rs10050757

Abstract

A method for estimating meteo-marine parameters from satellite Synthetic Aperture Radar (SAR) data, intended for near-real-time (NRT) service over the Baltic Sea, is presented and validated. Total significant wave height data are retrieved with an empirical function CWAVE_S1-IW, which combines spectral analysis of Sentinel-1A/B Interferometric Wide swath (IW) subscenes with wind data derived with common C-Band Geophysical Model Functions (GMFs). In total, 15 Sentinel-1A/B scenes (116 acquisitions) over the Baltic Sea were processed for comparison with off-shore sea state measurements (52 collocations) and coastal wind measurements (357 colocations). Sentinel-1 wave height was spatially compared with WAM wave model results (Copernicus Marine Environment Monitoring Service (CMEMS). The comparison of SAR-derived wave heights shows good agreement with measured wave heights correlation r of 0.88 and with WAM model (r = 0.85). The wind speed estimated from SAR images yields good agreement with in situ data (r = 0.91). The study demonstrates that the wave retrievals from Sentinel-1 IW data provide valuable information for operational and statistical monitoring of wave conditions in the Baltic Sea. The data is valuable for model validation and interpretation in regions where, and during periods when, in situ measurements are missing. The Sentinel-1 A/B wave retrievals provide more detailed information about spatial variability of the wave field in the coastal zone compared to in situ measurements, altimetry wave products and model forecast. Thus, SAR data enables estimation of storm locations and areal coverage. Methods shown in the study are implemented in NRT service in German Aerospace Center’s (DLR) ground station Neustrelitz.

Item URL in elib:https://elib.dlr.de/120436/
Document Type:Article
Additional Information:Correspondence: sander.rikka@ttu.ee; Tel.: +37/ 2-5342-8135 // --> Citation: Rikka, S.; Pleskachevsky, A.; Jacobsen, S.; Alari, V.; Uiboupin, R. Meteo-Marine Parameters from Sentinel-1 SAR Imagery: Towards Near Real-Time Services for the Baltic Sea. Remote Sens. 2018, 10, 757 // Attribution 4.0 International (CC BY 4.0): MDPI and ACS Style
Title:Meteo-Marine Parameters from Sentinel-1 SAR Imagery: Towards Near Real-Time Services for the Baltic Sea
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Rikka, Sandersander.rikka (at) msi.ttu.ee ; Department of Marine Systems at Tallinn University of Technology, Tallinn 12618, Estoniahttps://orcid.org/0000-0003-0562-3592
Pleskachevsky, AndreyAndrey.Pleskachevsky (at) dlr.deUNSPECIFIED
Jacobsen, SvenSven.Jacobsen (at) dlr.dehttps://orcid.org/0000-0003-4810-4186
Alari, Victorvictor.alari (at) ttu.ee; Department of Marine Systems at Tallinn University of Technology, Tallinn 12618, EstoniaUNSPECIFIED
Uiboupin, Rivorivo.uiboupin (at) ttu.ee; Department of Marine Systems at Tallinn University of Technology, Tallinn 12618, EstoniaUNSPECIFIED
Date:15 May 2018
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:10
DOI :10.3390/rs10050757
Page Range:pp. 1-17
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Special Issue: Sea Surface Roughness Observed by High Resolution Radar
ISSN:2072-4292
Status:Published
Keywords:SAR; Sentinel-1; Wave height; Wind Speed; Copernicus; CMEMS; Baltic Sea
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:19 Jun 2018 13:58
Last Modified:14 Dec 2019 04:26

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