Ocean Dynamics

, Volume 61, Issue 12, pp 2141–2156

Mapping bathymetry using X-band marine radar data recorded from a moving vessel

Article
Part of the following topical collections:
  1. Topical Collection on Maritime Rapid Environmental Assessment

Abstract

Marine radars mounted on ships can provide remarkable insights into ocean behaviour from distances of several kilometres, placing other in situ observations and the environment around a ship into a wider oceanographic context. It has been known for some time that it is possible to map shallow water bathymetry and currents using radar image sequences recorded from shore based stations. However, a long standing question from military and hydrographic communities has been whether such techniques can be applied to radar data collected by moving vessels. If so, this presents the possibility of mapping large areas of shallow or coastal seas (albeit with a somewhat coarse horizontal resolution of 50–100 m) prior to the surveying vessel actually having to travel into potentially uncharted or dangerous shallow water areas. Trial sets of radar data were recorded by the Canadian Forces Auxiliary Vessel Quest using a Wamos radar digitiser connected to a Decca navigation radar during a number of deployments around Nova Scotia in 2008 and 2009. Georeferencing corrections derived from the existing ship navigation systems were sufficient to allow the application of the existing depth inversion analysis designed for static radar installations. This paper presents the results of bathymetry analyses of two datasets recorded from CFAV Quest while the vessel was travelling at speeds of up to 14 knots. The bathymetry derived from the radar data compare favourably with independent surveys and with the on-board echo sounder to depths of approximately 50 m.

Keywords

Bathymetry Wave inversion Marine X-band radar Mapping Remote sensing 

References

  1. Aarninkhof SGJ, Ruessink BG, Roelvink JA (2005). Nearshore subtidal bathymetry from time-exposure video images. Journal of Geophysical Research, 110, C06011, doi:10.1029/2004JC002791
  2. Airy GB (1845) “Tides and waves”. Encyclopaedia MetropolitanaGoogle Scholar
  3. Bacon Sir R (1932) “The concise story of the Dover Patrol”. LondonGoogle Scholar
  4. Banerjee D (2006) PLL performance, simulation and design handbook (4th ed.), National SemiconductorGoogle Scholar
  5. Bell PS (1999) Shallow water bathymetry derived from an analysis of X-band marine radar images of waves. Coast Eng 37:513–527CrossRefGoogle Scholar
  6. Bell PS (2008) Mapping shallow water coastal areas using a standard marine x-band radar. In: Hydro8, Liverpool, 4th-6th November 2008. Liverpool, International Federation of Hydrographic SocietiesGoogle Scholar
  7. Bell PS (2009) Remote bathymetry and current mapping around shore-parallel breakwaters. Proceedings of 33rd International Association of Hydraulic Engineering & Research (IAHR) Biennial Congress, Vancouver, Canada, August 9–14, 2009Google Scholar
  8. Bell PS (2010) Submerged dunes and breakwater embayments mapped using wave inversions of shore-mounted marine X-band radar data. IEEE International Geoscience & Remote Sensing Symposium July 25–30, 2010, Honolulu, Hawaii, U.S.A., ISBN: 978-1-4244-9564-1, Paper FR3-L02.3, 4334-4337Google Scholar
  9. Bell PS, Williams JJ, Clark S, Morris BD, Vila Concejo A (2006) Nested radar systems for remote coastal observations. J Coast Res SI 39:483–487Google Scholar
  10. Bendat JS, Piersol AG (1971) Random data: analysis and measurement procedures. Wiley, ISBN 0-471-06470-XGoogle Scholar
  11. Booij N (1981) “Gravity waves on water with non-uniform depth and current”. Rep. No.81-1, Dept. Civ. Eng., Delft University of TechnologyGoogle Scholar
  12. Catalan PA, Haller MC (2008) Remote sensing of breaking wave phase speeds with application to non-linear depth inversions. Coast Eng 55:93–111CrossRefGoogle Scholar
  13. Dugan JP, Piotrowski CC, Williams JZ (2001) Water depth and surface current retrievals from airborne optical measurements of surface gravity wave dispersion. J Geophys Res 106(C8):16,903–16,915CrossRefGoogle Scholar
  14. Flampouris S, Ziemer F, Seemann J (2008) Accuracy of bathymetric assessment by locally analyzing radar ocean wave imagery. IEEE Trans Geosci Remote Sens 46(10):2906–2913. doi:10.1109/TGRS.2008.919687, part1CrossRefGoogle Scholar
  15. Hart CA, Miskin EA (1945) “Developments in the method of determination of beach gradients by wave velocities”. Air survey research paper no. 15, Directorate of Military Survey, UK War OfficeGoogle Scholar
  16. Heathershaw AD, Blackley MWL, Hardcastle PJ (1980) Wave direction estimates in coastal waters using radar. Coast Eng 3:249–267CrossRefGoogle Scholar
  17. Hedges TS (1976) An empirical modification to linear wave theory. Proc Inst Civ Eng 61:575–579Google Scholar
  18. Hedges TS (1987) Discussion: an approximate model for nonlinear dispersion in monochromatic wave propagation models, by J.T. Kirby and R.A. Dalrymple. Coastal Eng 11:87–89CrossRefGoogle Scholar
  19. Hessner K, Reichert K, Rosenthal W (1999) “Mapping of sea bottom topography in shallow seas by using a nautical radar,” 2nd Symposium on Operationalization of Remote Sensing, ITC, Enschede, Netherlands, 16-20 August 1999Google Scholar
  20. Hessner K, Nieto Borge JC, Bell PS (2008) “Nautical Radar Measurements in Europe - Applications of WaMoS II”, in Remote Sensing of the European Seas. Ed.: V. Barale, and M. Gade. Publisher: Springer. ISBN: 978-1-4020-6771-6Google Scholar
  21. Hill RJ (2005) “Motion compensation for shipborne radars and lidars”. NOAA Technical Memorandum OAR PSD 309Google Scholar
  22. Holland TK (2001) Application of the linear dispersion relation with respect to depth inversion and remotely sensed imagery. IEEE Trans Geosci Remote Sens 39(11):2060–2071CrossRefGoogle Scholar
  23. Kirby JT, Dalrymple RA (1986) An approximate model for nonlinear dispersion in monochromatic wave propagation models. Coastal Eng 9:545–561CrossRefGoogle Scholar
  24. Kirby JT, Dalrymple RA (1987) Discussion reply: an approximate model for nonlinear dispersion in monochromatic wave propagation models. Coastal Eng 11:89–92CrossRefGoogle Scholar
  25. Reichert K, Borge JCN, Dittmer J (1998) “WaMoS II: an operational wave monitoring system”. Proceedings of Oceanology International 98: The Global Ocean, 10-13 March 1998, Brighton, UK, 3, 455-462Google Scholar
  26. Ruessink BG, Bell PS, van Enckevort IMJ, Aarninkhof SGJ (2002) Nearshore bar crest location quantified from time-averaged Xband radar images. Coastal Eng 45:19–32. doi:10.1016/S0378-3839(01)00042-4 CrossRefGoogle Scholar
  27. Senet CM, Seemann J, Ziemer F (2001) The near-surface current velocity determined from image sequences of the sea surface. IEEE Trans Geosci Remote Sens 39(3):492–505CrossRefGoogle Scholar
  28. Senet CM, Seemann J, Flampouris S, Ziemer F (2008) Determination of bathymetric and current maps by the method DiSC based on the analysis of nautical X-Band radar image sequences of the sea surface. IEEE Trans Geosci Remote Sens 46(8):2267–2279. doi:10.1109/TGRS.2008.916474 CrossRefGoogle Scholar
  29. Takewaka S (2005) Measurements of shoreline positions and intertidal foreshore slopes with Xband marine radar system. Coast Eng J JSCE 47:91–107CrossRefGoogle Scholar
  30. Williams WW (1946) “The determination of gradients on enemy-held beaches”. Geogr J XIC, 76-93Google Scholar
  31. Young IR, Rosenthal W, Ziemer F (1985) A three-dimensional analysis of marine radar images for the determination of ocean wave directionality and surface currents. J Geophysical Research 90(C1):1049–1059CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  1. 1.National Oceanography CentreLiverpoolUK
  2. 2.Defence Research & Development Canada AtlanticDartmouthCanada

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