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Meteo-Marine Parameters for Highly Variable Environment in Coastal Regions from Satellite Radar Images

Pleskachevsky, Andrey and Rosenthal, Wolfgang and Lehner, Susanne (2016) Meteo-Marine Parameters for Highly Variable Environment in Coastal Regions from Satellite Radar Images. ISPRS Journal of Photogrammetry and Remote Sensing, 119, pp. 464-484. Elsevier. DOI: 10.1016/j.isprsjprs.2016.02.001 ISSN 0924-2716

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Official URL: http://dx.doi.org/10.1016/j.isprsjprs.2016.02.001

Abstract

A new empirical algorithm XWAVE_C (C=coastal) for estimation of significant wave height from X-band satellite-borne Synthetic Aperture Radar (SAR) data has been developed, adopted for coastal application using TerraSAR-X (TS-X) and Tandem-X (TD-X) satellites in German Bight of North Sea and implemented into the Sea Sate Processor (SSP) for fully automatic processing for Near Real Time (NRT) services. The algorithm is based on spectral analysis of subscenes and the model function uses integrated image spectra parameters as well as local wind information from the subscene analyzed. The algorithm is able to recognize and remove the influence of non-sea state produced signals in Wadden Sea areas like dry sandbars as well as nonlinear SAR image distortions produced by e.g. short wind waves and wave breaking. Also parameters of very short waves, which are not visible in SAR images and produce only unsystematic clutter, can be accurately estimated. SSP includes XWAVE_C, pre-filtering procedure for removing artefacts like ships, seamarks, buoys, offshore constructions and slicks and an additional procedure performing a check of results based on statistics of whole scene. The SSP allows an automatic processing of TS-X images with an error RMSE=25cm and Scatter Index SI=20% for significant wave height from sequences of TS-X StripMap images with a coverage of ~30km×300km across the German Bight. The SSP was tuned spatially with model data of the German Weather Service’s (DWD) CWAM (Coastal WAve Model) with 900m horizontal resolution and tuned in situ with 6 buoys located in DWD model domain in the German Bight. The collected, processed and analyzed data base for the German Bight consists of more than 60 TS-X StripMap scenes/overflights with more than 200 images since 2013.

Item URL in elib:https://elib.dlr.de/97708/
Document Type:Article
Additional Information:published online 17 March 2016
Title:Meteo-Marine Parameters for Highly Variable Environment in Coastal Regions from Satellite Radar Images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Pleskachevsky, AndreyAndrey.Pleskachevsky (at) dlr.deUNSPECIFIED
Rosenthal, WolfgangWolfgang.Rosenthal (at) dlr.deUNSPECIFIED
Lehner, SusanneSusanne.Lehner (at) dlr.deUNSPECIFIED
Date:2016
Journal or Publication Title:ISPRS Journal of Photogrammetry and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:119
DOI :10.1016/j.isprsjprs.2016.02.001
Page Range:pp. 464-484
Editors:
EditorsEmail
Trinder, Johnj.trinder@unsw.edu.au
Waske, Björnbjoern.waske@fu-berlin.de
Publisher:Elsevier
Series Name:Special Issue: Best papers from the 36th International Symposium on Remote Sensing of the Environment (36th ISRSE)
ISSN:0924-2716
Status:Published
Keywords:Ocean waves, coastal processes, remote sensing, radar satellites, NRT services
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 - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Kaps, Ruth
Deposited On:31 Jul 2015 14:42
Last Modified:06 Sep 2019 15:28

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