Evaluation of Multi-Incidence Angle Polarimetric Gaofen-3 SAR Wave Mode Data for Significant Wave Height Retrieval

被引:9
|
作者
Fan, Chenqing [1 ,2 ]
Song, Tianran [3 ]
Yan, Qiushuang [3 ]
Meng, Junmin [1 ,2 ]
Wu, Yuqi [3 ]
Zhang, Jie [1 ,2 ,3 ]
机构
[1] Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China
[2] Minist Nat Resources, Technol Innovat Ctr Ocean Telemetry, Qingdao 266061, Peoples R China
[3] China Univ Petr, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
基金
中国国家自然科学基金;
关键词
Gaofen-3 SAR wave mode; SWH retrieval; polarization; incidence angle; PolR; GPR; POLARIZATION; SPECTRA; VALIDATION; ALGORITHM; CUTOFF;
D O I
10.3390/rs14215480
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Significant wave height (SWH) is one of the most important descriptors for ocean wave fields. The polynomial regression (PolR) and Gaussian process regression (GPR) models are implemented to explore the effects of polarization and incidence angles on the SWH estimation from multi-incidence angle quad-polarization Gaofen-3 SAR wave mode data, based on the collocated data set of approximately 12,000 Gaofen-3 wave mode imagettes, matched with SWH from the fifth generation reanalysis (ERA5) of the European Centre for Medium-Range Weather Forecasts (ECMWF). The results show that the model performance improves, as long as polarimetry information increases. The hybrid polarizations perform stronger than the co-polarizations or cross-polarizations alone, and they show better performance over the low to high seas. The lower incidence angles are more favorable for SAR SWH inversion. It is superior to introduce incidence angle in piecewise way, rather than to include it as an independent variable in the models. Then, the final PolR and GPR models, with the superior input scheme that includes the quad-polarized features and introduces the incidence angle in piecewise way, are assessed independently through a comparison with observations from altimeter and buoys. The accuracies of our SWH estimates are comparable or even higher than other published results. The GPR model outperforms the PolR model, due to the superiority of the added nonlinearity of GPR.
引用
收藏
页数:19
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