Oceanography The Official Magazine of
The Oceanography Society
Volume 26 Issue 02

View Issue TOC
Volume 26, No. 2
Pages 80 - 91

OpenAccess

Meteo-Marine Parameters and Their Variability Observed by High Resolution Satellite Radar Images

By Susanne Lehner , Andrey Pleskachevsky, Domenico Velotto, and Sven Jacobsen 
Jump to
Article Abstract Citation References Copyright & Usage
Article Abstract

New radar satellites image the sea surface with resolutions as high as 1 m. A large spectrum of ocean processes can be estimated using such Earth observation data. These data have been applied to investigations of geophysical processes as well as to forecast model validations and near-real-time services. The numerous processes, parameters, and features observed in high-resolution synthetic aperture radar images include winds, waves (with wavelengths as small as 30 m), oil slicks, waterline changes, changes in seabed morphology in shallow waters, wakes and bow waves of ships, underwater topography, wave energy flux along wave tracks from deep water to the coast, and breaking waves. New algorithms have been developed that are capable of taking into account fine-scale effects in coastal areas.

Citation

Lehner, S., A. Pleskachevsky, D. Velotto, and S. Jacobsen. 2013. Meteo-marine parameters and their variability observed by high resolution satellite radar images. Oceanography 26(2):80–91, https://doi.org/10.5670/oceanog.2013.36.

References
    Alpers, W.R., and C.L. Rufenach. 1979. The effect of orbital motions on synthetic aperture radar imagery of ocean waves. IEEE Transactions on Antennas and Propagation 27:685–690, https://doi.org/10.1109/TAP.1979.1142163.
  1. Breit, H., T. Fritz, U. Balss, M. Lachaise, A. Niedermeier, and M. Vonavka. 2010. TerraSAR-X SAR processing and products. IEEE Transactions On Geoscience and Remote Sensing 48:727–740, https://doi.org/10.1109/TGRS.2009.2035497.
  2. Bruck, M., M.T. Pontes, E. Azevedo, and S. Lehner. 2011. Study of sea-state variability and wave groupiness using TerraSAR-X synthetic aperture radar data. Pp. 1–7 in Proceedings of the 9th EWTEC 2011, 5–9 September 2011, Southampton, UK.
  3. Bruck, M., and S. Lehner. 2010. Extraction of wave field from TerraSAR-X data. Paper presented at SEASAR 2010, Advances in SAR Oceanography from ENVISAT, ERS and ESA Third Party Missions, ESA ESRIN, Frascati/Rome, Italy, January 25–29, 2010.
  4. Brusch, S., P. Held, S. Lehner, W. Rosenthal, and A. Pleskachevsky. 2011. Underwater bottom-topography in coastal areas from TerraSAR-X data. International Journal of Remote Sensing 32:4,527–4,543, https://doi.org/​10.1080/01431161.2010.489063.
  5. Caruso, M.J., M. Migliaccio, J.T. Hargrove, O. Garcia-Pineda, and H.C. Graber. 2013. Oil spills and slicks imaged by synthetic aperture radar. Oceanography 26(2):112–123, https://doi.org/​10.5670/oceanog.2013.34.
  6. Etling, D., and R.A. Brown. 1993. Roll vortices in the planetary boundary layer: A review. Boundary-Layer Meteorology 65:215–248, https://doi.org/10.1007/BF00705527.
  7. Lehner, S., A. Pleskachevsky, and M. Bruck. 2012. High resolution satellite measurements of coastal wind field and sea state. International Journal of Remote Sensing 33:7,337–7,360, https://doi.org/10.1080/01431161.2012.​685975.
  8. Lehner, S., S. Brusch, and A. Pleskachevsky. 2013. Schiffsdetektion und Beobachtung des Kielwassers in hochaufgelösten TerraSAR-X Satellitenbildern und Sonarmessungen. Paper presented at a workshop held at the Maritime Technologie und Forschung, Forschungsbereich für Wasserschall und Geophysik (FWG).
  9. Lehner, S., A. Pleskachevsky, S. Brusch, M. Bruck, M. Soccorsi, and D. Velotto. In press. Remote sensing of African waters using the high resolution TerraSAR-X satellite. In Remote Sensing of the African Seas. V. Barale and M. Gade, eds, Springer.
  10. Li, X.-M., and S. Lehner. In press. Algorithm for sea surface wind retrieval from TerraSAR-X and TanDEM-X data. IEEE Transactions on Geoscience and Remote Sensing, https://doi.org/10.1109/TGRS.2013.2267780.
  11. Lyzenga, D.R., R.A. Shuchman, and J.D. Lyden. 1985. SAR imaging of waves in water and ice: Evidence for velocity bunching. Journal of Geophysical Research 90:1,031–1,036, https://doi.org/10.1029/JC090iC01p01031.
  12. Niedermeier, A., J.C. Nieto Borge, and S. Lehner. 2005. A wavelet-based algorithm to estimate ocean wave group parameters from radar images. IEEE Transactions on Geoscience and Remote Sensing 43:327–336, https://doi.org/​10.1109/TGRS.2004.836873.
  13. Pontes, M., M. Bruck, S. Lehner, and A. Kabuth. 2010. Using satellite spectral wave data for wave energy resource characterization. Paper presented at the 3rd International Conference and Exhibition on Ocean Energy, October 6, 2010, Bilbao, Spain.
  14. Pleskachevsky, A., S. Lehner, T. Heege, and C. Mott. 2011. Synergy and fusion of optical and synthetic aperture radar satellite data for underwater topography estimation in coastal areas. Ocean Dynamics 61:2,099–2,120, https://doi.org/10.1007/s10236-011-0460-1.
  15. Pleskachevsky, A., S. Lehner, and W. Rosenthal. 2012. Storm observations by remote sensing and influences of gustiness on ocean waves and on generation of rogue waves. Ocean Dynamics 62:1,335–1,351, https://doi.org/​10.1007/s10236-012-0567-z.
  16. Ren, Y.-Z., S. Lehner, S. Brusch, X. Li, and M. He. 2012. An algorithm for the retrieval of sea surface wind fields using X-band TerraSAR-X data. International Journal of Remote Sensing 33:7,310–7,336, https://doi.org/​10.1080/01431161.2012.685977.
  17. Rosenthal, W., A.L. Pleskachevsky, S. Lehner, and S. Brusch. 2011. Observation and modeling of high individual ocean waves and wave groups caused by a variable wind field. Proceedings of the 12th International Workshop on Wave Hindcasting and Forecasting, October 30–November 4, 2011, Kohala Coast, Big Island, Hawaii. Available online at: http://jcomm.info/images/stories/2011/12thWaves/Papers/2011_workshop-wavehind-and-forecasting__rosenthal_pleskachevsky_lehner_brusch.pdf (accessed September 20, 2013).
  18. Schwarz, E., S. Lehner, and S. Brusch. 2010. Ship detection service. Pp. 115–118 in Proceedings of the Geoforum MV 2010 Vernetzte Geodaten: Vom Sensor zum WEB, April 26–27, 2010, Rostock-Warnemünde. 
  19. Sikora, T., and S. Ufermann. 2000. Marine atmospheric boundary layer. Cellular convection and longitudinal roll vortices. Pp. 321–330 (Chapter 14) in Synthetic Aperture Radar Marine User’s Manual. C.R. Jackson and J.R. Apel, eds, NOAA NESDIS Office of Research and Applications, Washington, DC. Available online at: http://www.sarusersmanual.com (accessed September 20, 2013).
  20. Velotto, D., M. Migliaccio, F. Nunziata, and S. Lehner, 2011. Dual-polarized TerraSAR-X data for oil-spill observation. IEEE Transactions on Geoscience and Remote Sensing 49:4,751–4,762, https://doi.org/​10.1109/TGRS.2011.2162960.
  21. Wackerman, C.W., and P. Clemente-Colón. 2000. Wave refraction, breaking and other near-shore processes. Pp. 171–189 (Chapter 6) in Synthetic Aperture Radar Marine User’s Manual. C.R. Jackson and J.R. Apel, eds, NOAA NESDIS Office of Research and Applications, Washington, DC. Available online at: http://www.sarusersmanual.com (accessed September 20, 2013).
Copyright & Usage

This is an open access article made available under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format as long as users cite the materials appropriately, provide a link to the Creative Commons license, and indicate the changes that were made to the original content. Images, animations, videos, or other third-party material used in articles are included in the Creative Commons license unless indicated otherwise in a credit line to the material. If the material is not included in the article’s Creative Commons license, users will need to obtain permission directly from the license holder to reproduce the material.