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Estimation of Polarization Ratio for Sea Surface Wind Retrieval from SIR-C SAR Data

  • Kim, Tae-Sung (Department of Science Education, Seoul National University) ;
  • Park, Kyung-Ae (Department of Earth Science Education / Research Institute of Oceanography, Seoul National University)
  • Received : 2011.10.23
  • Accepted : 2011.11.02
  • Published : 2011.12.30

Abstract

Wind speeds have long been estimated from C-band VV-polarized SAR data by using the CMOD algorithms such as CMOD4, CMOD5, and CMOD_IFR2. Some SAR data with HH-polarization without any observations in VV-polarization mode should be converted to VV-polarized value in order to use the previous algorithms based on VV-polarized observation. To satisfy the necessity of polarization ratio (PR) for the conversion, we retrieved the conversion parameter from full-polarized SIR-C SAR image off the east coast of Korea. The polarization ratio for SIR-C SAR data was estimated to 0.47. To assess the accuracy of the polarization ratio coefficient, pseudo VV-polarized normalized radar cross section (NRCS) values were calculated and compared with the original VV-polarized ones. As a result, the estimated psudo values showed a good agreement with the original VV-polarized data with an root mean square error by 0.99 dB. We applied the psudo NRCS to the estimation of wind speeds based on the CMOD wind models. Comparison of the retrieved wind field with the ECMWF and NCEP/NCAR reanalysis wind data showed relatively small rms errors of 1.88 and 1.91 m/s, respectively. SIR-C HH-polarized SAR wind retrievals met the requirement of the scatterometer winds in overall. However, the polarization ratio coefficient revealed dependence on NRCS value, wind speed, and incident angle.

Keywords

References

  1. Beal, R.C., T.W. Gerling, D.E. Irvine, F.M. Monaldo, and D.G. Tilley, 1986. Spatial variations of ocean surface wave directional spectra, Journal of Geophysical Research, 91(C2): 2433-2449. https://doi.org/10.1029/JC091iC02p02433
  2. Beal, R.C., V.N. Kudryavtsev, D.R. Thompson, S.A. Grodsky, D.G. Tilley, V.A. Dulov, and H.C. Graber, 1997. The influence of the marine atmospheric boundary layer on ERS-1 synthetic aperture radar imagery of the Gulf Stream, Journal of Geophysical Research, 102(3): 5799-5814. https://doi.org/10.1029/96JC03109
  3. Choisnard, J., M. Bernier, and G. Lafrance, 2003. RADARSAT-1 SAR scenes for wind power mapping in coastal area: Gulf of St-Lawrence case, International Geoscience and Remote Sensing Symposium, IGARSS'03, 4: 2700-2702.
  4. Christiansen, M.B., W. Koch, J. Horstmann, C.B. Hasager, and M. Nielsen, 2006. Wind resource assessment from C-band SAR, Remote Sensing of Environment, 105(1): 68-81. https://doi.org/10.1016/j.rse.2006.06.005
  5. da Silva, J.C.B., I.S. Robinson, D.R.G. Jeans, and T. Sherwin, 1997. The application of near-real time ERS-1 SAR data for predicting the location of internal waves at sea, International Journal of Remote Sensing, 18: 3507-3517.
  6. Dobson, F.W. and P.W. Vachon, 1994. The Grand Banks ERS-1 SAR wave spectra validation experiment: Program overview and data summary, Atmosphere-Ocean, 32(1): 7-29. https://doi.org/10.1080/07055900.1994.9649488
  7. Elfouhaily, T., D. Thompson, D. Vandemark, and B. Chapron, 1999. A new bistatic model for electromagnetic scattering from perfectly conducting random surfaces, Waves in Random Media, 9(3): 281-294. https://doi.org/10.1088/0959-7174/9/3/301
  8. Feng, Q., M. Fang, Y. Liu, and L. Wang, 2004. Wind retrieval over the China Seas using satellite synthetic aperture radar, International Geoscience and Remote Sensing Symposium, IGARSS'04, 5: 3169-3171.
  9. Friedman, K.S., T.D. Sikora, W.G. Pichel, P. Clemente-Colon, and G. Hufford, 2001. Using spaceborne synthetic aperture radar to improve marine surface analyses, Weather Forecast, 16: 270-276. https://doi.org/10.1175/1520-0434(2001)016<0270:USSART>2.0.CO;2
  10. Furevik, B.R. and H.A. Espedal, 2002. Wind energymapping using synthetic aperture radar, Canadian Journal of Remote Sensing, 28(2): 196-204. https://doi.org/10.5589/m02-024
  11. Gasparovic, R.F., J.R. Apel, and E.S. Kasischke, 1988. An overview of the SAR internal wave signature experiment, Journal of Geophysical Research, 93(C10): 12304-12316. https://doi.org/10.1029/JC093iC10p12304
  12. Gerling, T.W., 1972. Structure of the surface wind field from Seasat SAR, Journal of Geophysical Research, 91(C2): 2308-2320.
  13. Hasager, C.B., E. Dellwik, M. Nielsen, and B. Furevik, 2004. Validation of ERS-2 SAR offshore wind-speed maps in the North Sea, International Journal of Remote Sensing, 25: 3817-3841. https://doi.org/10.1080/01431160410001688286
  14. Hersbach, H., A. Stoffelen, and S. de Haan, 2007. An improved C-band scatterometer ocean geophysical model function: CMOD5, Journal of Geophysical Research, 112: C03006, doi:10.1029/2006JC003743.
  15. Horstmann, J., W. Koch, S. Lehner, and R. Tonboe, 2000. Wind retrieval over the ocean using synthetic aperture radar with C-band HH polarization, IEEE Transactions on Geoscience and Remote Sensing, 38(5): 2122-2131. https://doi.org/10.1109/36.868871
  16. Horstmann, J., W. Koch, S. Lehner, and R. Tonboe, 2001. Coastal high resolution wind fields retrieved from RADARSAT-1 ScanSAR, International Geoscience and Remote Sensing Symposium, IGARSS'02, 4: 1747-1749.
  17. IFREMER-CERSAT, 1999. Off-line wind scatterometer ERS products: user manual, Technical Report C2-MUT-W-01-IF, IFREMER-CERSAT.
  18. Kang, M.K. and H. Lee, 2007. Estimation of ocean current velocity near Incheon using Radarsat- 1 SAR and HF-radar data, Korean Journal of Remote Sensing, 23(5): 421-430. https://doi.org/10.7780/kjrs.2007.23.5.421
  19. Kawamura, H., T. Shimada, M. Shimada, A. Kortcheva, and I. Watabe, 2002. L-band SAR wind-retrieval model function and its application for studies of coastal surface winds and wind waves, International Geoscience and Remote Sensing Symposium, IGARSS'02, 3: 1884-1886.
  20. Kerbaol, V., B. Chapron, and P. Queffeulou, 1998. Analysis of the wind field during the Vendee Globe race: A kinematic SAR wind speed algorithm, Earth Observation Quarterly, 59: 16-19.
  21. Kim, D.J. and W.I. Moon, 2002. Estimation of sea surface wind vector using RADARSAT data, Remote Sensing of Environment, 80(1): 55-64. https://doi.org/10.1016/S0034-4257(01)00267-X
  22. Kim, D.J., 2009. Wind retrieval from X-band SAR image using numerical ocean scattering model, Korean Journal of Remote Sensing, 25(3): 243-253. https://doi.org/10.7780/kjrs.2009.25.3.243
  23. Kim, T.R., 1999. Some application of SAR imagery to the coastal waters of Korea, Korean Journal of Remote Sensing, 15(1): 61-71. https://doi.org/10.7780/kjrs.1999.15.1.61
  24. Kim, T.S. K.A. Park, and W.I. Moon, 2010. Wind vector retrieval from SIR-C SAR data off the east coast of Korea, Journal of Korean Earth Science Society, 31(5): 475-487. https://doi.org/10.5467/JKESS.2010.31.5.475
  25. Korsbakken, E., J.A. Johannessen, and O.M. Johannessen, 1997. Coastal wind field retrievals from ERS SAR images, International Geoscience and Remote Sensing Symposium, IGARSS'97, 3: 1153-1155.
  26. Lehner, S., J. Schulz-Stellenfleth, B. Schattler, H. Breit, and J. Horstmann, 2000. Wind and wave measurements using complex ERS-2 SAR wave mode data, IEEE Transactions on Geoscience and Remote Sensing, 38(5): 2246-2257. https://doi.org/10.1109/36.868882
  27. Leibovich, S., 1983. The form and dynamics of Langmuir circulations, Journal of Fluid Mechanics, 15: 391-427. https://doi.org/10.1146/annurev.fl.15.010183.002135
  28. Lyzenga, D.R. and G.O. Marmorino, 1998. Measurement of surface currents using sequential synthetic aperture radar images of slick patterns near the edge of the Gulf Stream, Journal of Geophysical Research, 103: 18769-18777. https://doi.org/10.1029/98JC00192
  29. Monaldo, F.M., D.R. Thompson, R.C. Beal, W.G. Pichel, and P. Clemente-Colon, 2002. Comparison of SAR-derived wind speed with model predictions and ocean buoy measurements, IEEE Transactions on Geoscience and Remote Sensing, 39(12): 2587-2600.
  30. Monaldo, F.M., D.R. Thompson, W.G. Pichel, and P. Clemente-Colon, 2004. A systematic comparison of QuikSCAT and SAR ocean surface wind speeds, IEEE Transactions on Geoscience and Remote Sensing, 42(2): 283-291.
  31. Moon, W.M., G. Staples, D.J. Kim, S.E. Park, and K.A. Park, 2010. RADARSAT-2 and coastal applications: Surface wind, waterline, and intertidal flat roughness, Proceedings of the IEEE, 98(5): 800-815. https://doi.org/10.1109/JPROC.2010.2043331
  32. Romeiser, R., H. Breit, M. Eineder, and H. Runge, 2002. Demonstration of current measurements from space by along-track SAR interferometry with SRTM data, International Geoscience and Remote Sensing Symposium, IGARSS'02, 1: 158-160.
  33. Signell, R.P., J. Chiggiato, J. Horstmann, J.D. Doyle, J. Pullen, and F. Askari, 2010. Highresolution mapping of Bora winds in the northern Adriatic Sea using synthetic aperture radar, Journal of Geophysical Research, 115: C04020, doi: 10.1029/2009JC005524.
  34. Stoffelen, A. and D. Anderson, 1997. Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4. Journal of Geophysical Research, 102: 5767-5780. https://doi.org/10.1029/96JC02860
  35. Thompson, D., T. Elfouhaily, and B. Chapron, 1998. Polarization ratio for microwave backscattering from the ocean surface at low to moderate incidence angles, International Geoscience and Remote Sensing Symposium, IGARSS'98, 3: 1671-1673.
  36. Unal, C.M.H., P. Snooji, and P.J.F. Swart, 1991. The Polarization-dependent relation between radar backscatter from the ocean surface and surface wind vectors at frequencies between 1 and 18 GHz, IEEE Transactions on Geoscience and Remote Sensing, 29(4): 621-626. https://doi.org/10.1109/36.135824
  37. Vachon, P. and F. Dobson, 2000. Wind retrieval from RADARSAT SAR images: selection of a suitable C-band HH polarization wind retrieval model, Canadian Journal of Remote Sensing, 26(4): 306-313. https://doi.org/10.1080/07038992.2000.10874781
  38. Vandemark, D., P.W. Vachon, and B. Chapron, 1998. Assessment of ERS-1 SAR wind speed estimates using an airborne altimeter, Earth Observation Quarterly, 59: 5-8.
  39. Wackerman, C., C. Rufenach, R. Schuchman, J. Johannessen, and K. Davidson, 1996. Wind vector retrieval using ERS-1 synthetic aperture radar imagery, Journal of Geophysical Research, 34: 1343-1352.
  40. Young, G.S., T.D. Sikora, and N.S. Winstead, 2000. Inferring marine atmospheric boundary layer properties from spectral characteristics of satellite-borne SAR imagery, Monthly Weather Review, 128: 1506-1520. https://doi.org/10.1175/1520-0493(2000)128<1506:IMABLP>2.0.CO;2
  41. Zabeline, V., L. Neil, W. Perrie, P.W. Vachon, C. Fogarty, S.K. Khurshid, S. Komarov, and B. Zhang, 2011. RADARSAT application in ocean wind measurements, International Geoscience and Remote Sensing Symposium, IGARSS'11, 3622-3625.

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