Development and validation of an ocean wave retrieval algorithm for VV-polarization Sentinel-1 SAR data

LIN Bo; SHAO Weizeng; LI Xiaofeng; LI Huan; DU Xiaoqing; JI Qiyan; CAI Lina

doi:10.1007/s13131-017-1089-9

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Article Navigation > Acta Oceanologica Sinica > 2017 > 36(7): 95-101

LIN Bo, SHAO Weizeng, LI Xiaofeng, LI Huan, DU Xiaoqing, JI Qiyan, CAI Lina. Development and validation of an ocean wave retrieval algorithm for VV-polarization Sentinel-1 SAR data[J]. Acta Oceanologica Sinica, 2017, 36(7): 95-101. doi: 10.1007/s13131-017-1089-9

Citation:

LIN Bo, SHAO Weizeng, LI Xiaofeng, LI Huan, DU Xiaoqing, JI Qiyan, CAI Lina. Development and validation of an ocean wave retrieval algorithm for VV-polarization Sentinel-1 SAR data[J]. Acta Oceanologica Sinica, 2017, 36(7): 95-101. doi: 10.1007/s13131-017-1089-9

Citation:

LIN Bo, SHAO Weizeng, LI Xiaofeng, LI Huan, DU Xiaoqing, JI Qiyan, CAI Lina. Development and validation of an ocean wave retrieval algorithm for VV-polarization Sentinel-1 SAR data[J]. Acta Oceanologica Sinica, 2017, 36(7): 95-101. doi: 10.1007/s13131-017-1089-9

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Development and validation of an ocean wave retrieval algorithm for VV-polarization Sentinel-1 SAR data

doi: 10.1007/s13131-017-1089-9

1.
Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China
2.
Global Science and Technology, National Oceanic and Atmospheric Administration(NOAA)-National Environmental Satellite, Data, and Information Service(NESDIS), College Park, Maryland 20740, USA
3.
National Marine Data and Information Service, State Oceanic Administration, Tianjin 300171, China

Received Date: 2016-10-09
Rev Recd Date: 2017-01-10

Abstract

Abstract

The purpose is to study the accuracy of ocean wave parameters retrieved from C-band VV-polarization Sentinel-1 Synthetic Aperture Radar (SAR) images, including both significant wave height (SWH) and mean wave period (MWP), which are both calculated from a SAR-derived wave spectrum. The wind direction from in situ buoys is used and then the wind speed is retrieved by using a new C-band geophysical model function (GMF) model, denoted as C-SARMOD. Continuously, an algorithm parameterized first-guess spectra method (PFSM) is employed to retrieve the SWH and the MWP by using the SAR-derived wind speed. Forty–five VV-polarization Sentinel-1 SAR images are collected, which cover the in situ buoys around US coastal waters. A total of 52 subscenes are selected from those images. The retrieval results are compared with the measurements from in situ buoys. The comparison performs good for a wind retrieval, showing a 1.6 m/s standard deviation (STD) of the wind speed, while a 0.54 m STD of the SWH and a 2.14 s STD of the MWP are exhibited with an acceptable error. Additional 50 images taken in China’s seas were also implemented by using the algorithm PFSM, showing a 0.67 m STD of the SWH and a 2.21 s STD of the MWP compared with European Centre for Medium-range Weather Forecasts (ECMWF) reanalysis grids wave data. The results indicate that the algorithm PFSM works for the wave retrieval from VV-polarization Sentinel-1 SAR image through SAR-derived wind speed by using the new GMF C-SARMOD.
- wind speed,
- significant wave height,
- mean wave period,
- Sentinel-1 synthetic aperture radar

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References(37)

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