Monitoring spatiotemporal trends in intertidal bedforms of the German Wadden Sea in 2009–2015 with TerraSAR-X, including links with sediments and benthic macrofauna

Satellite synthetic aperture radar (SAR) holds a high potential for remote sensing in intertidal areas. Geomorphic structures of the sediment surface generating patterns of water cover contrasting with exposed sediment surfaces can clearly be detected. This study explores intertidal bedforms on the upper flats bordering the island of Norderney in the German Wadden Sea using TerraSAR-X imagery from 2009 to 2015. Such bedforms are common in the Wadden Sea, forming crests alternating with water-covered troughs oriented in a north-easterly direction. In the western Norderney area, the crest-to-crest distance ranges from 50–130 m, and bedform length can reach 500 m. Maximum height differences between crests and troughs are 20 cm. A simple method is developed to extract the water-covered troughs from TerraSAR-X images for spatiotemporal analysis of bedform positions in a GIS. It is earmarked by unsupervised ISODATA classification of textural parameters, contrasting with various algorithm-based methods pursued in earlier studies of waterline detection. The high-frequency TerraSAR-X data reveal novel evidence of a bedform shift in an easterly direction during the study period. Height profiles measured with RTK-DGPS along defined transects support the findings from TerraSAR-X data. First investigations to characterise sediments and macrofauna show that benthic macrofauna community structure differs significantly between crests and troughs, comprising mainly fine sands. Evidently, bedform formation has implications for benthic faunal diversity in back-barrier settings of the Wadden Sea. SAR remote sensing provides pivotal data on bedform dynamics.

[1]  I. Kröncke,et al.  Small scale morphodynamics of shoreface-connected ridges and their impact on benthic macrofauna , 2015 .

[2]  S. Lehner,et al.  Topography and morphodynamics in the German Bight using SAR and optical remote sensing data , 2005 .

[3]  Shelley J. Whitmeyer,et al.  Episodic dynamics of a sand wave field , 2008 .

[4]  Giovanni Besio,et al.  Modeling bio-geomorphological influences for offshore sandwaves , 2009 .

[5]  P. Legendre,et al.  vegan : Community Ecology Package. R package version 1.8-5 , 2007 .

[6]  G. Zarillo Stability of bedforms in a tidal environment , 1982 .

[7]  A. Sydow Tou, J. T./Gonzalez, R. C., Pattern Recognition Principles, London-Amsterdam-Dom Mills, Ontario-Sydney-Tokyo. Addison-Wesley Publishing Company. 1974. 378 S., $ 19,50 . , 1977 .

[8]  Wooil M. Moon,et al.  Submarine groundwater discharge in tidal flats revealed by space-borne synthetic aperture radar , 2011 .

[9]  D. Morrisey Differences in effects of grazing by deposit-feeders Hydrobia ulvae (Pennant) (Gastropoda : Prosobranchia) and Corophium arenarium Crawford (Amphipoda) on sediment microalgal populations. I. Qualitative differences , 1988 .

[10]  J. Pierini,et al.  Sand transport on an estuarine submarine dune field , 2010 .

[11]  Martin J. Baptist,et al.  The distribution of macrozoobenthos in the southern North Sea in relation to meso-scale bedforms , 2006 .

[12]  Christian Winter,et al.  Development of subaqueous barchanoid-shaped dunes due to lateral grain size variability in a tidal inlet channel of the Danish Wadden Sea: DEVELOPMENT OF BARCHANOID-SHAPED DUNES , 2005 .

[13]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[14]  W. F. Boer,et al.  Long-term mean annual microphytobenthos chlorophyll a variation correlates with air temperature , 2012 .

[15]  B. Flemming,et al.  Grain-size control of large compound flow-transverse bedforms in a tidal inlet of the Danish Wadden Sea , 2002 .

[16]  Georg Heygster,et al.  Intertidal Topographic Maps and Morphological Changes in the German Wadden Sea between 1996–1999 and 2006–2009 from the Waterline Method and SAR Images , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[17]  I. N. McCave Sand waves in the North Sea off the coast of Holland , 1971 .

[18]  I. Kröncke,et al.  Spatial variability in structural and functional aspects of macrofauna communities and their environmental parameters in the Jade Bay (Wadden Sea Lower Saxony, southern North Sea) , 2013, Helgoland Marine Research.

[19]  V. Eitner,et al.  Nearshore sediment transport processes due to moderate hydrodynamic conditions , 1996, Geological Society, London, Special Publications.

[20]  Helko Breit,et al.  TerraSAR-X Ground Segment Basic Product Specification Document , 2008 .

[21]  Silvana G. Dellepiane,et al.  Coastline extraction from SAR images and a method for the evaluation of the coastline precision , 2004, Pattern Recognit. Lett..

[22]  Björn Tings,et al.  MARITIME PRODUCTS USING TERRASAR-X and SENTINEL-1 IMAGERY , 2015 .

[23]  Georg Heygster,et al.  Topographic Mapping of the German Tidal Flats Analyzing SAR Images With the Waterline Method , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[24]  David C. Mason,et al.  Accurate and efficient determination of the shoreline in ERS-1 SAR images , 1996, IEEE Trans. Geosci. Remote. Sens..

[25]  C. Winter,et al.  Decadal scale stability of sorted bedforms, German Bight, southeastern North Sea , 2006 .

[26]  Zhenghao Shi,et al.  A comparison of digital speckle filters , 1994, Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium.

[27]  P. Legendre,et al.  Ecologically meaningful transformations for ordination of species data , 2001, Oecologia.

[28]  Richard A. Davis,et al.  Time-Series Study of Mesoscale Tidal Bedforms, Martens Plate, Wadden Sea, Germany , 1991 .

[29]  G. Ashley Classification of Large-Scale Subaqueous Bedforms: A New Look at an Old Problem-SEPM Bedforms and Bedding Structures , 1990 .

[30]  P. V. Santen,et al.  Bedform migration and bedload transport on an intertidal shoal , 2004 .

[31]  M. Stive,et al.  Morphodynamics of the Wadden Sea and its barrier island system , 2012 .

[32]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[33]  J. R. Allen Sand waves: A model of origin and internal structure , 1980 .

[34]  Stefan Wiehle,et al.  Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X Images , 2015, J. Sensors.

[35]  K. Reise,et al.  Long-term displacement of intertidal seagrass and mussel beds by expanding large sandy bedforms in the northern Wadden Sea , 2010 .

[36]  Christian Heipke,et al.  Integration of TerraSAR-X, RapidEye and airborne lidar for remote sensing of intertidal bedforms on the upper flats of Norderney (German Wadden Sea) , 2016, Geo-Marine Letters.

[37]  M. Buijsman,et al.  Long-term evolution of sand waves in the Marsdiep inlet. II: Relation to hydrodynamics , 2008 .

[38]  Julius T. Tou,et al.  Pattern Recognition Principles , 1974 .

[39]  Marti J. Anderson,et al.  A new method for non-parametric multivariate analysis of variance in ecology , 2001 .

[40]  Victor S. Frost,et al.  A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[41]  Wilhelm Burger,et al.  Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.

[42]  V. Ernstsen,et al.  Development of subaqueous barchanoid-shaped dunes due to lateral grain size variability in a tidal inlet channel of the Danish Wadden Sea : Marine sandware and river dune dynamics , 2005 .

[44]  R. Dalrymple,et al.  Bedforms and their hydraulic stability relationships in a tidal environment, Bay of Fundy, Canada , 1978, Nature.

[45]  I. Hajnsek,et al.  A tutorial on synthetic aperture radar , 2013, IEEE Geoscience and Remote Sensing Magazine.

[46]  G. Ashley,et al.  Classification of large-scale subaqueous bedforms; a new look at an old problem , 1990 .