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Remote Sensing Intertidal Flats with Terra-SAR-X. A SAR Perspective of the structural elements of the tidal basin for Monitoring the Wadden Sea

Adolph, Winny and Farke, Hubert and Lehner, Susanne and Ehlers, Manfred (2018) Remote Sensing Intertidal Flats with Terra-SAR-X. A SAR Perspective of the structural elements of the tidal basin for Monitoring the Wadden Sea. Remote Sensing, 10 (1085), pp. 1-23. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs10071085. ISSN 2072-4292.

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Official URL: http://www.mdpi.com/2072-4292/10/7/1085


Spatial distribution and dynamics of intertidal habitats are integral elements of the Wadden Sea ecosystem, essential for the preservation of ecosystem functions and interlocked with geomorphological processes. Protection and monitoring of the Wadden Sea is mandatory and remote sensing is required to survey the extensive, often inaccessible tidal area. Mainly airborne techniques are carried out for decades. High-resolution satellite-borne sensors now enable new possibilities with satellite synthetic aperture radar (SAR) offering high availability of acquisitions during low water time due to independence from daylight and cloud cover. More than 100 TerraSAR-X images from 2009 to 2016 were used to examine the reproduction of intertidal habitats and macrostructures from the flats south of the island of Norderney and comparative areas in the Lower Saxony Wadden Sea. As a non-specific, generic approach to distinguish various and variable surface types continuously influenced by tidal dynamics, visual analysis was chosen which was supported by extensive in situ data. This technically unsophisticated access enabled us to identify mussel beds, fields of shell-detritus, gully structures, mud fields, and bedforms, the latter detected in the upper flats of every East Frisian island. Based on the high frequency of TerraSAR-X recordings for the Norderney area, a bedform shift was observed in a time-series from 2009 to 2015. For the same period, the development of a mud field with an adjoining depression was traced. Beside seasonal variations of the mud field, the formation of a mussel bed settling in the depression was imaged over the years. This study exemplifies the relevance of TerraSAR-X imagery for Wadden Sea remote sensing. Further development of classification methods for current SAR data together with open access availability should contribute to large-scale surveys of intertidal surface structures of geomorphic or biogenic origin and improve monitoring and long-term ecological research in the Wadden Sea and related tidal areas.

Item URL in elib:https://elib.dlr.de/120520/
Document Type:Article
Additional Information:also reprinted in: Ten Years of TerraSAR-X - Scientific Results, ISBN 978-3-03897-725-4, MDPI 04/2019
Title:Remote Sensing Intertidal Flats with Terra-SAR-X. A SAR Perspective of the structural elements of the tidal basin for Monitoring the Wadden Sea
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Adolph, WinnyDLR-IMF, Wadden Sea National Park Authority of Lower Saxony / Institute for Geoinformatics and Remote Sensing (IGF)https://orcid.org/0000-0003-1541-8269
Farke, HubertWadden Sea National Park Authority of Lower Saxony (NLPV), Virchowstr. 1, 26382 Wilhelmshaven, GermanyUNSPECIFIED
Lehner, SusanneSusanne.Lehner (at) dlr.deUNSPECIFIED
Ehlers, Manfredmehlers (at) igf.uni-osnabrueck.deUNSPECIFIED
Date:7 July 2018
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.3390/rs10071085
Page Range:pp. 1-23
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Special Issue 10 Years of TerraSAR-X
Keywords:TerraSAR-X, Wadden Sea, Mussel Beds, Intertidal Bedforms
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Zielske, Mandy
Deposited On:24 Jun 2018 23:53
Last Modified:11 Feb 2021 17:44

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