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

WANG Yi-lin; WANG Xiao-lin; ZHANG Hua-guo

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

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Journal of Marine Sciences ›› 2018, Vol. 36 ›› Issue (2) : 19-26. DOI: 10.3969/j.issn.1001-909X.2018.02.003

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

WANG Yi-lin¹, WANG Xiao-lin¹, ZHANG Hua-guo^2,3

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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

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

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