Estimation experiment of sea surface wind speed based on MISR multi-angle optical remote sensing images

doi:10.3969/j.issn.1001-909X.2018.02.003

Abstract

Abstract: The sun glitter is caused by the direct reflection of the sun light from the rough sea surface, and its intensity is strongly affected by the sea surface roughness. The sea surface roughness is mainly affected by the sea surface wind field. Therefore, the remote sensing images containing sun glitter information are of great significance in ocean dynamic processes detection and sea surface wind speed estimation. In this study, 25 remote sensing images of MISR(Multi-angle Imaging Spectro Radiometer)sensor equipped with Terra Satellite acquired from February 2016 to March 2017 were used. The zenith angle, azimuth angle and sensor angles from the MISR images were obtained, then the normalized radiation intensities of sun glitter were corrected, while the sea surface roughness were further acquired, and the sea surface wind speed was estimated. Finally, the estimation results were compared to the model wind speed data of ECMWF(European Centre for Medium-Range Weather Forecasts).The results show that the correlation coefficients (0.745) are high, and the root mean square error and the mean absolute deviation error are 1.514 m·s^-1 and 1.319 m·s^-1, respectively. The preliminary experimental results show that it is feasible to extract the sea surface wind speed by using MISR multi-angle optical remote sensing images.

Key words: sun glitter, sea surface wind speed, sea surface roughness, multi-angle remote sensing

CLC Number:

P714⁺.2

WANG Yi-lin, WANG Xiao-lin, ZHANG Hua-guo. Estimation experiment of sea surface wind speed based on MISR multi-angle optical remote sensing images[J]. Journal of Marine Sciences, 2018, 36(2): 19-26.

References

[1] ZHANG Lei, SHI Han-qing, LONG Zhi-yong, et al. Summary of spaceborne synthetic aperture radar image inversion of sea surface wind field[J]. Marine Science Bulletin, 2012, 31(6): 713-720.
张雷, 石汉青, 龙智勇,等. 星载合成孔径雷达图像反演海面风场方法综述[J]. 海洋通报, 2012, 31(6): 713-720.
[2] ZHANG Wei, JIANG Zhu-hui, MA Wei-min. Progress in retrieving sea surface wind field from X-Band navigation radar data[J]. Marine Forecasts, 2014, 31(3): 104-109.
张伟, 姜祝辉, 马卫民. X波段航海雷达资料反演海面风场进展研究[J]. 海洋预报, 2014, 31(3): 104-109.
[3] YANG Jin-song. Synthetic aperture radar sea surface wind field, wave and internal wave remote sensing technology [M]. Beijing: China Ocean Press, 2005.
杨劲松. 合成孔径雷达海面风场、海浪和内波遥感技术[M]. 北京:海洋出版社, 2005.
[4] WU L C, DOONG D J, KAO C C, et al. Wave and current fields extracted from marine radar images[J]. Ocean Waves Measurement and Analysis Fifth International Symposium Waves, 2005, 3(7): 15-24.
[5] WANG Jian, DUAN Hua-min. X-band radar image extraction of ocean surface wind field[J]. Ocean Technology, 2010, 29(3): 5-8.
王剑, 段华敏. X波段雷达图像提取海洋表面风场[J]. 海洋技术学报, 2010, 29(3): 5-8.
[6] HORSTMANN J, KOCH W, LEHNER S, et al. Ocean winds from RADARSAT-1 ScanSAR[J]. Canadian Journal of Remote Sensing, 2002, 28(3): 524-533.
[7] DANKERT H, HORSTMANN J, LEHNER S, et al. Detection of wave groups in SAR images and radar image sequences[J]. IEEE Transactions on Geoscience & Remote Sensing, 2003, 41(6): 1 437-1 446.
[8] HORSTMANN J, KOCH W. Measurement of ocean surface winds using synthetic aperture radars[J]. IEEE Journal of Oceanic Engineering, 2006, 30(3): 508-515.
[9] ZHANG Hao, WANG Meng-hua. Evaluation of sun glint models using MODIS measurements[J]. Journal of Quantitative Spectroscopy & Radiative Transfer, 2010, 111(3): 492-506.
[10] COX C, MUNK W. Measurement of the roughness of the sea surface from photographs of the sun’s glitter[J]. JOSA, 1954, 44(11): 838-850.
[11] APEL J R, BYRNE H M, PRONI J R, et al. Observations of oceanic internal and surface waves from the Earth Resources Technology Satellite[J]. Journal of Geophysical Research, 1975, 80(6): 865-881.
[12] MATTHEWS J. Stereo observation of lakes and coastal zones using ASTER imagery[J]. Remote Sensing of Environment, 2005, 99(1): 16-30.
[13] HENNINGS I, DOERFFER R, ALPERS W. Comparison of submarine relief features on a radar satellite image and on a Skylab satellite photograph[J]. International Journal of Remote Sensing, 1988, 9(1): 45-67.
[14] HENNINGS I, MATTHEWS J, METZNER M. Sun glitter radiance and radar cross-section modulations of the sea bed[J]. Journal of Geophysical Research: Oceans, 1994, 99(C8): 16 303-16 326.
[15] HU C, MÜLLER KARGER F E, TAYLOR C J, et al. MODIS detects oil spills in Lake Maracaibo, Venezuela[J]. Eos, Transactions American Geophysical Union, 2003, 84(33): 313-319.
[16] BRÉON F M, HENRIOT N. Spaceborne observations of ocean glint reflectance and modeling of wave slope distributions[J]. Journal of Geophysical Research: Oceans, 2006, 111,C06005. doi: 10.1029/2005JC003343.
[17] YANG Kang. Mapping of the submarine sand wave based on multi-angle sun glitter remote sensing[D].Hangzhou: Second Institute of Oceanography, SOA, 2016.
杨康. 基于多角度太阳耀光遥感的浅海沙波地形探测研究[D]. 杭州: 国家海洋局第二海洋研究所, 2016.
[18] WAN Hua-wei, WANG Jin-di, XIAO Zhi-qiang, et al. Component-based processing method and data analysis of MISR multi-angle remote sensing data[J]. Remote Sensing Information, 2007(4): 16-19.
万华伟, 王锦地, 肖志强,等. MISR多角度遥感数据的组件库处理方法及数据分析[J]. 遥感信息, 2007(4): 16-19.
[19] GORDON H R. Atmospheric correction of ocean color imagery in the Earth Observing System era[J]. Journal of Geophysical Research Atmospheres, 1997, 102(D14): 17 081-17 106.
[20] SHAO Hao. Remote sensing of sand waves in Taiwan Shoal[D]. Xiamen: Xiamen University, 2011.
邵浩. 台湾浅滩沙波的太阳耀光遥感研究[D]. 厦门: 厦门大学, 2011.
[21] CARVAJAL G K, ERIKSSON L E B, ULANDER L M H. Retrieval and quality assessment of wind velocity vectors on the ocean with C-Band SAR[J]. IEEE Transactions on Geoscience & Remote Sensing, 2014, 52(5): 2 519-2 537.
[22] WYLIE D P, HINTON B B, MILLETT K M. A comparison of three satellite-based methods for estimating surface winds over oceans[J]. Journal of Applied Meteorology, 1981, 20(4): 439-449.
[23] VOGELZANG J, STOFFELEN A, VERHOEF A, et al. On the quality of high-resolution scatterometer winds[J]. Journal of Geophysical Research Oceans, 2011, 116, C10033. doi: 10.1029/2010JC006640.