GF-3 SAR Ocean Wind Retrieval: The First View and Preliminary Assessment
Abstract
:1. Introduction
2. Description of Collocated Data Sets
2.1. GF-3 SAR Data
2.2. Buoy Data
3. GF-3 SAR Wind Retrieval Scheme
4. Results and Discussion
4.1. GF-3 SAR Wind: The Case of Katabatic Wind
4.2. GF-3 SAR Winds from VV-Polarization
4.3. GF-3 SAR Winds from HH-Polarization
4.4. GF-3 SAR Winds General Validation Statistics
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
- Dagestad, K.-F.; Horstmann, J.; Mouche, A.; Perrie, W.; Shen, H.; Zhang, B.; Li, X.; Monaldo, F.; Pichel, W.; Lehner, S.; et al. Wind Retrieval from Synthetic Aperture Radar—An Overview. In Proceedings of the 4th SAR Oceanography Workshop (SEASAR 2012), Tromsø, Norway, 18–22 June 2012; pp. 1–24. [Google Scholar]
- Horstmann, J.; Koch, W. Measurement of ocean surface winds using synthetic aperture radars. IEEE J. Ocean. Eng. 2005, 30, 508–515. [Google Scholar] [CrossRef]
- Monaldo, F.; Jackson, C.; Li, X.; Pichel, W.G. Preliminary evaluation of Sentinel-1A wind speed retrievals. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2016, 9, 2638–2642. [Google Scholar] [CrossRef]
- Chang, R.; Zhu, R.; Badger, M.; Hasager, C.B.; Xing, X.; Jiang, Y. Offshore wind resources assessment from multiple satellite data and WRF modeling over South China Sea. Remote Sens. 2015, 7, 467–487. [Google Scholar] [CrossRef]
- Stoffelen, A.; Anderson, D. Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4. J. Geophys. Res. 1997, 102, 5767–5780. [Google Scholar] [CrossRef]
- Quilfen, Y.; Chapron, B.; Elfouhaily, T.; Katsaros, K.; Tournadre, J. Observation of tropical cyclones by high-resolution scatterometry. J. Geophys. Res. 1998, 103, 7767–7786. [Google Scholar] [CrossRef]
- Hersbach, H. Comparison of C-band scatterometer CMOD5.N equivalent neutral winds with ECMWF. J. Atmos. Ocean. Tech. 2010, 27, 721–736. [Google Scholar] [CrossRef]
- Thompson, D.R.; Elfouhaily, T.M.; Chapron, B. Polarization Ratio for Microwave Backscattering from the Ocean Surface at Low to Moderate Incidence Angles. In Proceedings of the 1998 Geoscience and Remote Sensing Symposium Proceedings (IGARSS’98), Seattle, WA, USA, 6–10 July 1998; pp. 1671–1673. [Google Scholar]
- Mouche, A.; Hauser, D.; Daloze, J.F.; Guerin, C. Dual-polarization measurements at C-band over the ocean: Results from airborne radar observations and comparison with ENVISAT ASAR data. IEEE Trans. Geosci. Remote Sens. 2005, 43, 753–769. [Google Scholar] [CrossRef]
- Zhang, B.; Perrie, W.; He, Y. Wind speed retrieval from RADARSAT-2 quad-polarization images using a new polarization ratio model. J. Geophys. Res. 2011, 116, C08008. [Google Scholar] [CrossRef]
- Takeyama, Y.; Ohsawa, T.; Kozai, K.; Hasager, C.B.; Badger, M. Comparison of geophysical model functions for SAR wind speed retrieval in Japanese coastal waters. Remote Sens. 2013, 5, 1956–1973. [Google Scholar] [CrossRef]
- Bergeron, T.; Bernier, M.; Chokmani, K.; Lessard-Fontaine, A.; Lafrance, G.; Beaucage, P. Wind speed estimation using polarimetric RADARSAT-2 images: Finding the best polarization and polarization ratio. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2011, 4, 896–904. [Google Scholar] [CrossRef]
- Liu, G.; Yang, X.; Li, X.; Zhang, B.; Pichel, W.; Li, Z.; Zhou, X. A systematic comparison of the effect of polarization ratio models on sea surface wind retrieval from C-band synthetic aperture radar. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2013, 6, 1100–1108. [Google Scholar] [CrossRef]
- Mouche, A. Sentinel-1 ocean wind fields (OWI) algorithm definition. In Sentinel-1 IPF Reference: (S1-TN-CLS-52-9049) Report; CLS: Brest, France, 2010; pp. 1–75. [Google Scholar]
- Soisuvarn, S.; Jelenak, Z.; Chang, P.S.; Alsweiss, S.O.; Zhu, Q. CMOD5.H—A High Wind Geophysical Model Function for C-Band Vertically Polarized Satellite Scatterometer Measurements. IEEE Trans. Geosci. Remote Sens. 2013, 51, 3744–3760. [Google Scholar] [CrossRef]
- Yang, J.S.; Wang, J.; Ren, L. The first quantitative remote sensing of ocean internal waves by Chinese GF-3 SAR satellite. Acta Oceanol. Sin. 2017, 36. [Google Scholar] [CrossRef]
- Hasager, C.B.; Christiansen, M.B.; Peña, A.; Larsén, X.G.; Bingöl, F. SAR-Based wind resource statistics in the Baltic Sea. Remote Sens. 2011, 3, 117–144. [Google Scholar] [CrossRef]
- Badger, M.; Badger, J.; Nielsen, M.; Hasager, C.B.; Peña, A. Wind class sampling of satellite SAR imagery for offshore wind resource mapping. J. Appl. Meteorol. Climatol. 2010, 49, 2474–2491. [Google Scholar] [CrossRef]
- Beaucage, P.; Bernier, M.; Lafrance, G.; Choisnard, J. Regional mapping of the offshore wind resource: Towards a significant contribution from space-borne synthetic aperture radars. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2008, 1, 48–56. [Google Scholar] [CrossRef]
- Zhang, Q. System Design and Key Technologies of the GF-3 Satellite. Acta Geodaetica et Cartographica Sinica 2017, 46, 269–277. (In Chinese) [Google Scholar] [CrossRef]
- Zeng, L.; Brown, R.A. Scatterometer observations at high wind speeds. J. Appl. Meteorol. 1998, 37, 1412–1420. [Google Scholar] [CrossRef]
- Weller, R.A.; Rudnick, D.L.; Payne, R.E.; Dean, J.P.; Pennington, N.J.; Trask, R.P. Measuring near-surface meteorology over the ocean from an array of surface moorings in the subtropical convergence zone. J. Atmos. Ocean. Technol. 1990, 7, 85–103. [Google Scholar] [CrossRef]
- Charnock, H. Wind stress on a water surface. Quart. J. R. Meteorol. Soc. 1955, 81, 639–640. [Google Scholar] [CrossRef]
- Smith, S.D. Coefficients for sea surface wind stress, heat flux, and wind profiles as a function of wind speed and temperature. J. Geophys. Res. 1988, 93, 15467–15472. [Google Scholar] [CrossRef]
- Leite, G.C.; Ushizima, D.M.; Medeiros, F.N.S.; De Lima, G.G. Wavelet Analysis for Wind Fields Estimation. Sensors 2010, 10, 5994–6016. [Google Scholar] [CrossRef] [PubMed]
- Portabella, M.; Stoffelen, A.; Johannessen, J.A. Toward an optimal inversion method for synthetic aperture radar wind retrieval. J. Geophys. Res. 2002, 107, 3086. [Google Scholar] [CrossRef]
- Mouche, A.; Collard, F.; Chapron, B.; Dagestad, K.; Guitton, G.; Johannessen, J.A.; Kerbaol, V.; Hansen, M.W. On the use of doppler shift for sea surface wind retrieval from SAR. IEEE Trans. Geosci. Remote Sens. 2012, 50, 2901–2909. [Google Scholar] [CrossRef]
- Mouche, A.; Chapron, B. Global C-Band Envisat, RADARSAT-2 and Sentinel-1 SAR measurements in copolarization and cross-polarization. J. Geophys. Res. 2015, 120, 7195–7207. [Google Scholar] [CrossRef]
- Alpers, W.; Pahl, U.; Gross, G. Katabatic wind fields in coastal areas studied by ERS-1 synthetic aperture radar imagery and numerical modeling. J. Geophys. Res. 1998, 103, 7875–7886. [Google Scholar] [CrossRef]
- Li, X.; Zheng, W.; Pichel, W.G.; Zou, C.-Z.; Clemente-Colon, P. Coastal katabatic winds imaged by SAR. Geophys. Res. Lett. 2007, 34, L03804. [Google Scholar] [CrossRef]
- Koch, W. Directional analysis of SAR images aiming at wind direction. IEEE Trans. Geosci. Remote Sens. 2004, 42, 702–710. [Google Scholar] [CrossRef]
Imaging Mode 1 | Polarization | Resolution (m) | Swath (Km) | Num of Synthetic Aperture Radar Scenes Used |
---|---|---|---|---|
SS | VV + VH or HH + HV | 25 | 130 | 26 |
QPSI | VV + HH + VH + HV | 8 | 30 | 3 |
QPSII | VV + HH + VH + HV | 25 | 40 | 5 |
FSI | HH + HV | 5 | 50 | 2 |
NSC | VV + VH | 50 | 300 | 1 |
Buoy ID | Latitude (°N)/Longitude (°W) | Buoy U10 (m/s) | GF-3 U10 (m/s) | Buoy Wind Direction (°) | GF-3 Wind Direction (°) |
---|---|---|---|---|---|
46015 | 42.764/124.832 | 6.16 | 6.1 | 143 | 150.4 |
46027 | 41.852/124.382 | 6.16 | 4.2 | 104 | 112.2 |
46022 | 40.720/124.531 | 7.2 | 5.2 | 114 | 145.5 |
Polarization of GF-3 Data | Wind Speed | Wind Direction | GMF Used | ||||
---|---|---|---|---|---|---|---|
N | Bias (m/s) | RMSE (m/s) | N | Bias (°) | RMSE (°) | ||
All co-polarization | 56 | 0.66 | 2.46 | 45 | 1.35 | 22.22 | VV: CMOD5.n HH:CMOD5.n + PR model from Zhang et al. [10] |
VV | 14 | −0.15 | 2.34 | 14 | 4.85 | 21.91 | |
HH | 42 | 0.93 | 2.50 | 31 | −0.23 | 22.37 |
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Wang, H.; Yang, J.; Mouche, A.; Shao, W.; Zhu, J.; Ren, L.; Xie, C. GF-3 SAR Ocean Wind Retrieval: The First View and Preliminary Assessment. Remote Sens. 2017, 9, 694. https://doi.org/10.3390/rs9070694
Wang H, Yang J, Mouche A, Shao W, Zhu J, Ren L, Xie C. GF-3 SAR Ocean Wind Retrieval: The First View and Preliminary Assessment. Remote Sensing. 2017; 9(7):694. https://doi.org/10.3390/rs9070694
Chicago/Turabian StyleWang, He, Jingsong Yang, Alexis Mouche, Weizeng Shao, Jianhua Zhu, Lin Ren, and Chunhua Xie. 2017. "GF-3 SAR Ocean Wind Retrieval: The First View and Preliminary Assessment" Remote Sensing 9, no. 7: 694. https://doi.org/10.3390/rs9070694