Wave retrieval from SAR imagery in the East China Sea

Xiulin Lou; Junfang Chang; Xiaoyan Liu

doi:10.1117/12.2205953

14 December 2015 Wave retrieval from SAR imagery in the East China Sea

Xiulin Lou, Junfang Chang, Xiaoyan Liu

Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 98150G (2015) https://doi.org/10.1117/12.2205953
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

Synthetic aperture radar (SAR) plays an important role in measuring directional ocean wave spectra with continuous and global coverage. In this article, satellite SAR images were used to estimate the wave parameters in the East China Sea. The Max-Planck Institut (MPI) method was applied to retrieve directional wave spectra from the SAR imagers with the Simulating WAves Nearshore (SWAN) model data as the first guess wave spectra. In order to validate the SAR retrieved wave spectra, a set of buoy measurements during the SAR imaging times was collected and used. The SAR retrieved significant wave heights (SWHs) were analyzed against the buoy measurements to assess the wave retrieval of this study. The root-mean-square error between the SAR SWHs and the buoy measurements is 0.25 m, which corresponds to a relative error of 12%. The case study here shows that the SWAN model data is a potential first guess wave spectra source to the MPI method to retrieve ocean wave spectra from SAR imagery.

Citation Download Citation

Xiulin Lou, Junfang Chang, and Xiaoyan Liu "Wave retrieval from SAR imagery in the East China Sea", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98150G (14 December 2015); https://doi.org/10.1117/12.2205953

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KEYWORDS

Synthetic aperture radar

Data modeling

Satellites

Satellite imaging

Earth observing sensors

Image retrieval

Error analysis

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