Skip to main content
Log in

Velocity bunching model for modelling wave spectra along east coast of Malaysia

  • Cover Article
  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

This paper presents the application of the velocity bunching model to detect the wave spectra pattern. We have developed the azimuth cut-off model which is estimated from the velocity bunching theory to model out the significant wave height. The velocity bunching model utilized two ERS-1 images (First European Remote Sensing Satellite). These two ERS-1 images have been acquired with the different monsoon periods. Several steps have been used to simulate the significant wave height from the velocity bunching model, these were: the real ocean wave spectra simulated from the in situ wave data, and the SAR wave spectra, extracted by applying two-dimensional Fourier transform (2-DFFT). Finally, the significant wave height was estimated based on the azimuth cut-off arising from the velocity bunching model. Two hypotheses were established in modelling the wave spectra from the SAR images: (i) azimuth cut-off was based on velocity bunching, which has been used to model the significant wave height with high accuracy, and (ii) velocity bunching model has been used to map the SAR wave spectra into ocean wave spectra. In the present study, a specific ERS-1 images of the South China Sea has been considered. No significant differences were found between the velocity-bunching model and ocean wave spectra model where ERS-1 wave spectra has been found to be dominated by the azimuth fall-off effects. Furthermore, the velocity bunching model produced wave spectra pattern approximately closed to the real ocean wave compared to the SAR wave spectra. The highest rate of r2 (0.69) occurred when the significant wave height increased. It has been concluded that the velocity bunching model could be used as the best fit model for estimating the significant wave height traveled along the azimuth direction.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Alejandro, C. and Nasir, M.S. (1996). Dynamic bahaviour of the upper layers of the South China Sea. Proc. of the National Conference on Climate Change, held at University Pertanian Malaysia from Aug. 12–13, 1996, pp.135–140.

  • Alpers, W.R., Ross, D.B. and C.L. Rufenach (1981). On the detectability of ocean surface waves by real and synthetic aperture radar. J. Geophysical Research,86:6481–6498.

    Article  Google Scholar 

  • Alpers, W., and Bruning, C. (1986). On the relative importance of motion-related contributions to SAR imaging mechanism of ocean surface waves. IEEE Trans. Geosci. Remote Sensing,24:873–885.

    Article  Google Scholar 

  • Beal, R. C, Gerling, T.W., Irvine, D.E., Monaldo, F.M. and Tilley, D.G. (1986). “Spatial variations of ocean wave directional spectra from Seasat synthetic aperture radar”. J. Geophysical. Research,91:2433–2449.

    Article  Google Scholar 

  • Bruning, C, Alpers, W and Hasselmann, K. (1990). Monto-Carlo simulation studies of the nonlinear imaging of a two dimensional surface wave field by a synthetic aperture radar. Int. J. Remote Sensing,11:1695–1727.

    Article  Google Scholar 

  • Engen, G., Vachon, P.W., Johnsen, H. and Dobson, F.W. (2000). Retrieval of ocean wave spectra and RAR MTF’s from dual-polarization SAR Data. IEEE Trans. Geosci. Remote Sensing,38 (1): 391–403.

    Article  Google Scholar 

  • Engen, G., Johnsen, H. and Lauknes, I. (1997). The ENVISAT ASAR wave mode Cross spectra algorithm-software requirements document, NORUT IT doc. No.: ASAR-D6-NT-01, version 1.3.6, June 30.

  • Hasselamnn, K.,Raney, R.K., Plant, W.J., Alpers, W.R., Schuchman, R., Lyzenga, D. R., Rufenach, C.L., and Tucker, M.J., (1985). Theory of synthetic aperture radar ocean imaging: AMARSEN View. J. Geophysical Research,90:4659–4686.

    Article  Google Scholar 

  • Hasselmann, K., and Hasselmann, S., (1991). On the nonlinear mapping of an ocean Wave spectrum into a synthetic aperture radar image spectrum and its inversion. J. Geophysical Research,96: 101713–10729.

    Article  Google Scholar 

  • Krogstad, H.E., and Schyberg, H. (1991). On Hasselman ’s nonlinear ocean -SAR transformation, Proc. of IGARSS’91, held at Espo, Finland from Jun. 3-6, 1991, pp:841-849.

  • Maged, M.M., and Mansor, S.B . (1997). offshore and onshore wave spectra along Chendering coastline. Proc. 18 th Asian Conference on Remote Sensing, held at Kuala Lumpur from Oct. 23-27, 1997, pp.G-5-1-G-5-6.

  • Maged M., (2000). Wave spectra and shoreline change by remote sensing data, Malaysia. Ph.D Thesis, Universiti Putra Malaysia,Selangor, Malaysia (inedited).

  • Maged M., (2001). TOPSAR wave spectra model and coastal erosion detection. Int. J. Applied Earth Observation and Geoinformation,3: 357–365.

    Article  Google Scholar 

  • Maged M., Ibrahim, Z., Genderen, J.V. (2002). Azimuth cut-off for significant wave height investigation along the coastal water of Kuala Terengganu, Malaysia. Int. J. Applied Earth Observation and Geoinformation,4:147–160.

    Article  Google Scholar 

  • Michael D., Vachon, P.W., Dobson, F.W., and Oslen, R.B. (2001). Ocean wave extraction from RADARSAT Synthetic Aperature Radar inter-look image cross-spectra. IEEE Trans. Geosci. Remote Sensing,39 (l):21–37.

    Google Scholar 

  • Monaldo, F. M., and David, R.L, (1986). On the estimation of wave slope and wave height variance spectra from SAR imagery. IEEE Trans. Geosci. Remote Sensing,24 (4):543–551.

    Article  Google Scholar 

  • Ooi, S.H. and Lim, J. T.(1996). Global climate change-possible typhoon related impacts on Malaysia, Proc. of the National Conference on Climate Change, held at University Pertanian Malaysia from Aug. 12-13, 1996, pp.56-82

  • Plant, W.J., (1992). Reconcilliation of theories of Synthetic Aperture Radar imagery of ocean waves”. J. Geophysical Research,97:7493–7501.

    Article  Google Scholar 

  • Raney, R. K. and Vachon, P.W. (1991). SAR imaging of ocean waves: Some observations from LIMEX/LEWEX ’87“. In:Directional Ocean Wave Spectra: Modeling, Predicting and Applying (Ed.: R.C. Beal). The John Hopkins University Press. New York, pp. 98–103.

    Google Scholar 

  • Supichai, T., (1995). Wave climate in the South China Sea as observed by Topex/ Posedion satellite. Paper Presented at JSPS-VCC Joint Seminar on Marine Science. 6-8 December 1995, Faculty of Fisheries and Marine Science, Unversity Pertanian Malaysia. Selangor: Malaysia.

    Google Scholar 

  • Stanely Consultants Inc., (1985). Malaysian national coastal ersoion study, Volume II. UPEN, Kuala Lumpur, Malaysia.

    Google Scholar 

  • Valencia, M.J.,(1978). The Physical environment. In:Coastal resources of west Sabah an investigation into the impact of Oil Spill (Eds.: T.E. Chu. and J. A. Mathias.). USM:Sinaran Bros.Sdn.Bhd. pp.3-43.

  • Vachon P. W., Olsen, R., Livingstone, C. and Freeman, N.G. (1988). Airborne SAR observations of ocean surface waves during LEWEX. IEEE Trans. Geosci. Remote Sensing, 26: 549-562.

    Google Scholar 

  • Vachon P.W., and Raney, R.K. (1989). Estimation of the SAR system transfer function through processor defocus. IEEE Trans. Geosci. Remote Sensing,26 (6): 702–708.

    Article  Google Scholar 

  • Vachon, P.W., and Raney, R.K., (1991). Resolution of the ocean wave propagation direction in SAR imagery. IEEE Trans. Geosci. Remote Sensing,29 (91):105–112.

    Article  Google Scholar 

  • Vachon, P.W., Raney,R.K., Krogstad, H.E., and Liu, A.K., (1993). Airborne synthetic aperture radar observations and simulations for waves-in-Ice. J. Geophysical Research,98:16, 411 -16,425.

    Article  Google Scholar 

  • Vachon, P.W., Krogstad, H.E., and Paterson, J.S., (1994). Airborne and spaceborne synthetic aperture radar observations of ocean waves. Atmosphere-Ocean.32:83–112.

    Google Scholar 

  • Vachon P.W., Liu, A. K. and Jackson, F.C. (1995). Near-shore wave evolution observed by airborne SAR during SWADE. Atmosphere-Ocean,2: 363–381.

    Google Scholar 

  • Vachon, P.W. and Dobson,F.W. (1996). Validation of wind vector retrieval from ERS-1 SAR images over the ocean. Atmosphere and Ocean System,5:177–187.

    Google Scholar 

  • Vachon, P.W. and Campbell, J.W.M. and Dobson, F.W., (1997). Comparison of ERS and RADARSAT SARS for wind and wave measurement. Paper Presented at third ERS Symp., ESA, held at Florence, Italy from Mar. 18-2, 1997.

  • Wong, P.P., (1981). Beach change on a monsoon coast, Peninsular Malaysia. J. Geol. Soc. Malaysia,14:47–59.

    Google Scholar 

  • Zurk, L.M. and Plant, W.J. (1996). Comparison of actual and simulated synthetic aperture radar image spectra of ocean waves”. J. Geophysical Research,101:8913–8931.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

Marghany, M. Velocity bunching model for modelling wave spectra along east coast of Malaysia. J Indian Soc Remote Sens 32, 185–198 (2004). https://doi.org/10.1007/BF03030875

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03030875

Keywords

Navigation