Cite this paper:
REN Lin, YANG Jingsong, ZHENG Gang, WANG Juan. A joint method to retrieve directional ocean wave spectra from SAR and wave spectrometer data[J]. Journal of Oceanology and Limnology, 2016, 34(4): 847-858

A joint method to retrieve directional ocean wave spectra from SAR and wave spectrometer data

REN Lin, YANG Jingsong, ZHENG Gang, WANG Juan
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
Abstract:
This paper proposes a joint method to simultaneously retrieve wave spectra at different scales from spaceborne Synthetic Aperture Radar (SAR) and wave spectrometer data. The method combines the output from the two different sensors to overcome retrieval limitations that occur in some sea states. The wave spectrometer sensitivity coefficient is estimated using an effective significant wave height (SWH), which is an average of SAR-derived and wave spectrometer-derived SWH. This averaging extends the area of the sea surface sampled by the nadir beam of the wave spectrometer to improve the accuracy of the estimated sensitivity coefficient in inhomogeneous sea states. Wave spectra are then retrieved from SAR data using wave spectrometer-derived spectra as first guess spectra to complement the short waves lost in SAR data retrieval. In addition, the problem of 180° ambiguity in retrieved spectra is overcome using SAR imaginary cross spectra. Simulated data were used to validate the joint method. The simulations demonstrated that retrieved wave parameters, including SWH, peak wave length (PWL), and peak wave direction (PWD), agree well with reference parameters. Collocated data from ENVISAT advanced SAR (ASAR), the airborne wave spectrometer STORM, the PHAROS buoy, and the European Centre for Medium-Range Weather Forecasting (ECMWF) were then used to verify the proposed method. Wave parameters retrieved from STORM and two ASAR images were compared to buoy and ECMWF wave data. Most of the retrieved parameters were comparable to reference parameters. The results of this study show that the proposed joint retrieval method could be a valuable complement to traditional methods used to retrieve directional ocean wave spectra, particularly in inhomogeneous sea states.
Key words:    Synthetic Aperture Radar (SAR)|wave spectrometer|directional ocean wave spectrum|joint method   
Received: 2015-02-05   Revised: 2015-04-28
Tools
PDF (787 KB) Free
Print this page
Add to favorites
Email this article to others
Authors
Articles by REN Lin
Articles by YANG Jingsong
Articles by ZHENG Gang
Articles by WANG Juan
References:
Alpers W, Rufenach C. 1979. The effect of orbital motions on synthetic aperture radar imagery of ocean waves. I EEE Transactions on Antennas and Propagation, 27 (5): 685-690.
Alpers W. 1983. Monte Carlo simulations for studying the relationship between ocean wave and synthetic aperture radar image spectra. Journal of Geophysical Research, 88 (C3): 1 745-1 759.
Beal R C, Tilley D G, Monaldo F M. 1983. Large-and smallscale spatial evolution of digitally processed ocean wave spectra from the SEASAT synthetic aperture radar. Journal of Geophysical Research, 88 (C3): 1 761-1 778.
Chu X Q, He Y J, Karaev V Y. 2012. Relationships between Ku-band radar backscatter and integrated wind and wave parameters at low incidence angles. IEEE Transactions on Geoscience and Remote Sensing, 50 (11): 4 599-4 609.
Collard F, Ardhuin F, Chapron B. 2005. Extraction of coastal ocean wave fields from SAR images. IEEE Journal of Oceanic Engineering, 30 (3): 526-533.
Engen G, Johnsen H. 1995. SAR-ocean wave inversion using image cross spectra. IEEE T ransactions on G eoscience and R emote S ensing, 33 (4): 1 047-1 056.
Engen G, Vachon P W, Johnsen H et al. 2000. Retrieval of ocean wave spectra and RAR MTF's from dualpolarization SAR data. IEEE T ransactions on G eoscience and R emote S ensing, 3 8 (1): 391-403.
European Space Agency. 2007. EnviSat ASAR Product Handbook (Issue 2.2, Feb. 27, 2007). http://earth.esa.int/handbooks/asar/CNTR.htm.
Gower J F R. 1983. “Layover” in satellite SAR radar images of ocean waves. Journal of Geophysical Research, 88 (C12): 7 719-7 720.
Hasselmann K, Hasselmann S. 1991. On the nonlinear mapping of an ocean wave spectrum into a synthetic aperture radar image spectrum and its inversion. Journal of Geophysical Research, 96 (C6): 10 713-10 729.
Hasselmann K, Raney R K, Plant W J et al. 1985. Theory of synthetic aperture radar ocean imaging: a MARSEN view. Journal of Geophysical Research, 90 (C3): 4 659-4 686.
Hasselmann S, Brüning C, Hasselmann K, Heimbach P. 1996. An improved algorithm for the retrieval of ocean wave spectra from synthetic aperture radar image spectra. Journal of Geophysical Research, 101 (C7): 16 615-16 629.
Hauser D, Caudal G, Rijchenberg G, et al. 1992. RESSAC: a new airborne FM/CW radar ocean wave spectrometer. IEEE Transactions on Geoscience and Remote Sensing, 30 (5): 981-995.
Hauser D, Soussi E, Thouvenot E et al. 2001. SWIMSAT: a real-aperture radar to measure directional spectra of ocean waves from space-main characteristics and performance simulation. Journal of Atmospheric and Oceanic Technology, 18 (3): 421-437.
He Y J, Shen H, Perrie W. 2006. Remote sensing of ocean waves by polarimetric SAR. Journal of Atmospheric and Oceanic Technology, 23 (12): 1 768-1 773.
Heimbach P, Hasselmann S, Hasselmann K. 1998. Statistical analysis and intercomparison of WAM model data with global ERS-1 SAR wave mode spectral retrievals over 3 years. Journal of Geophysical Research, 103 (C3): 7 931-7 977.
Jackson F C, Walton W T, Baker P L. 1985. Aircraft and satellite measurement of ocean wave directional spectra using scanning-beam microwave radars. Journal of Geophysical Research, 90 (C1): 987-1 004.
Jackson F C. 1987. The radar ocean-wave spectrometer. Johns Hopkins APL Technical Digest, 8: 116-127.
Kerbaol V, Chapron B, Vachon P W. 1998. Analysis of ERS-1/2 synthetic aperture radar wave mode imagettes. Journal of Geophysical Research, 103 (C4): 7 833-7 846.
Krogstad H E. 1992. A simple derivation of Hasselmann's nonlinear ocean synthetic aperture radar transform. Journal of Geophysical Research, 9 7 (C2): 2 421-2 425.
Lyzenga D R. 2002. Unconstrained inversion of waveheight spectra from SAR images. IEEE Transactions on Geoscience and Remote Sensing, 40 (2): 261-270.
Mastenbroek C, de Valk C F. 2000. A semiparametric algorithm to retrieve ocean wave spectra from synthetic aperture radar. Journal of Geophysical Research, 105 (C2): 3 497-3 516.
Monaldo F M, Lyzenga D R. 1986. On the estimation of wave slope-and height-varnance spectra from SAR imagery. IEEE Transactions on Geoscience and Remote Sensing, GE-24 (4): 543-551.
Mouche A A, Hauser D, Daloze J F et al. 2005. Dualpolarization measurements at C-band over the ocean: results from airborne radar observations and comparison with ENVISAT ASAR data. IEEE Transactions on Geoscience and Remote Sensing, 43 (4): 753-769.
Quilfen Y, Chapron B, Elfouhaily T et al. 1998. Observation of tropical cyclones by high-resolution scatterometry. Journal of Geophysical Research, 103 (C4): 7 767-7 786.
Ren L, Mao Z H, Huang H Q et al. 2010. Satellite-based RAR performance simulation for measuring directional ocean wave spectrum based on SAR inversion spectrum. Acta Oceanologica Sinica, 29 (4): 13-20.
Ren L, Pan D L, Mao Z H. 2011. Measurements of ocean wave spectrum from airborne radar at small incidence angles. Acta Oceanologica Sinica, 30 (1): 40-46.
Ren L, Yang J S, Zheng G et al. 2014. The significant wave height estimation by the azimuth cutoffof the quadpolarization SAR image. SPIE Ocean Remote Sensing and Monitoring from Space, 9261: 926115.
Romeiser R, Schmidt A, Alpers W. 1994. A three-area composite surface model for the ocean wave-radar modulation transfer function. Journal of Geophysical Research, 99 (C5): 9 785-9 801.
Tison C, Amiot T, Bourbier J et al. 2009. Directional wave spectrum estimation by swim instrument on CFOSAT. In: Proceedings of 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS'09. IEEE, Cape Town, South Africa. p.V-312-V-315.
Tran N, Chapron B, Vandemark D. 2007. Effect of long waves on Ku-band ocean radar backscatter at low incidence angles using TRMM and altimeter data. IEEE Geoscience and Remote Sensing Letters, 4 (4): 542-546.
Vachon P W, Raney R K. 1991. Resolution of the ocean wave propagation direction in SAR imagery. IEEE Transactions on Geoscience and Remote Sensing, 29 (1): 105-112.
Walsh E J, Vandemark D C, Friehe C A et al. 1998. Measuring sea surface mean square slope with a 36-GHz scanning radar altimeter. Journal of Geophysical Research, 103 (C6): 12 587-12 601.
Wen S C, Guo P F, Zhang D C. 1993. Analytically derived wind-wave directional spectrum Part 1. Derivation of the spectrum. Journal of Oceanography, 49 (2): 131-147.
Wu J. 1990. Mean square slopes of the wind-disturbed water surface, their magnitude, directionality, and composition. Radio Science, 25 (1): 37-48.
Zhang B, Perrie W, He Y J. 2010. Validation of RADARSAT-2 fully polarimetric SAR measurements of ocean surface waves. Journal of Geophysical Research, 115 (C6): C06031.
Copyright © Haiyang Xuebao