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Along-Track Interferometry TanDEM-X Satellite Data for Modelling Sea Surface Level Change and Sea Surface Current Velocity

  • Maged MarghanyEmail author
  • Nurimah Samnat
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 547)

Abstract

This investigation is the novel study, which is contacted along the Malaysian coastal water to implement the potential of TanDEM-X satellite data for retrieving sea surface current. In this view, the main objective of this investigation is to exam the multichannel MAP height estimator for retrieving sea surface current pattern as a function of the tidal elevation. The investigation reveals that the MAP algorithm has excellent performance with the lowest RMSE of ± 0.0074 m/s. Additional, MAP algorithm can authenticate the spatial variability of coastal water from TanDEM-X satellite data. Concluding, TanDEMX data exposes a fabulous assurance for modelling the sea surface current flow with X-band.

Keywords

TanDEM-X satellite data MAP height estimator algorithm Sea surface current Tidal elevation Along-Track interferometry 

References

  1. 1.
    Lu, Z., Kim, J.-W., Lee, H., Shum, C., Duan, J., Ibaraki, M., Akyilmaz, O., and Read, C.-H.: Helmand river hydrologic studies using ALOS PALSAR InSAR and ENVISAT altimetry. Mar. Geod. 32(3), 320–333 (2009)Google Scholar
  2. 2.
    Mason, D.C., Speck, R., Devereux, B., Schumann, G.J.-P., Neal, J.C., Bates, P.D.: Flood detection in urban areas using TerraSAR-X. IEEE Trans. Geosci. Remote Sens. 48(2), 882–894 (2010)Google Scholar
  3. 3.
    Romeiser, R., Runge, H.: Theoretical evaluation of several possible along-track InSAR modes of TerraSAR-X for ocean current measurements. IEEE Trans. Geosci. Remote Sens. 45(1), 21–35 (2007)Google Scholar
  4. 4.
    Romeiser, R., Runge, H., Suchandt, S., Kahle, R., Rossi, C., Bell, P.S.: Quality assessment of surface current fields from TerraSAR-X and TanDEM-X along-track interferometry and Doppler centroid analysis. IEEE Trans. Geosci. Remote Sens. 52(5), 2759–2772 (2014)Google Scholar
  5. 5.
    Yoon, G.-W., Kim, S.-W., Lee, Y.-W., Won, J.-S.: Measurement of the water level in reservoirs from TerraSAR-X SAR interferometry and amplitude images. Remote Sens. Lett. 4(5), 446–454 (2013)Google Scholar
  6. 6.
    Baselice, F., Ferraioli, G., Pascazio, V.: DEM reconstruction in layover areas from SAR and auxiliary input data. IEEE Geosci. Remote Sens. Lett. 6(2), 253–257 (2009)Google Scholar
  7. 7.
    Ferraiuolo, G., Meglio, F., Pascazio, V., Schirinzi, G.: DEM reconstruction accuracy in multichannel SAR interferometry. IEEE Trans. Geosci. Remote Sens. 47(1), 191–201 (2009)Google Scholar
  8. 8.
    Ferraiuolo, G., Pascazio, V., Schirinzi, G.: Maximum a posteriori estimation of height profiles in InSAR imaging’, IEEE Geosci. Remote Sens. Lett. 1(2) 66–70 (2004)Google Scholar
  9. 9.
    Marghany, M.: Developing robust model for retrieving sea surface current from RADARSAT-1 SAR satellite data. Int. J. Phys. Sci. 6(29), 6630–6637 (2011)Google Scholar
  10. 10.
    Marghany, M.: Three-dimensional visualisation of coastal geomorphology using fuzzy B-spline of dinsar technique. Int. J. Phys. Sci. 6(30) 6967–6971 (2011)Google Scholar
  11. 11.
    Marghany, M.: Three-dimensional coastal geomorphology deformation modelling using differential synthetic aperture interferometry. Zeitschrift fur Naturforschung A J. Phys. Sci. 67(6), 419 (2012)Google Scholar
  12. 12.
    Marghany, M.: DEM reconstruction of coastal geomorphology from DINSAR. In: Book DEM Reconstruction of Coastal Geomorphology from DINSAR, pp. 435–446. Springer (2012)Google Scholar
  13. 13.
    Marghany, M.: DInSAR technique for three-dimensional coastal spit simulation from radarsat-1 fine mode data. Acta Geophys. 61(2), 478–493 (2013)Google Scholar
  14. 14.
    Marghany, M.: Simulation of Tsunami Impact on Sea Surface Salinity along Banda Aceh Coastal Waters, Indonesia (2014)Google Scholar
  15. 15.
    Marghany, M.: Hybrid genetic algorithm of interferometric synthetic aperture radar for three-dimensional coastal deformation. In: Book Hybrid Genetic Algorithm of Interferometric Synthetic Aperture Radar For Three-Dimensional Coastal Deformation, pp. 116–131 (2014)Google Scholar
  16. 16.
    Marghany, M.: Simulation sea surface current from RADARSAT-2 SAR data using Hopfield neural network. In: 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), pp. 805–808. IEEE (2015)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Faculty Geospatial and Real EstateGeomatika University CollegeKuala Lumpur, WP Kuala LumpurMalaysia

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