Author:
Song Tianran,Yan Qiushuang,Fan Chenqing,Meng Junmin,Wu Yuqi,Zhang Jie
Abstract
Empirical algorithms have become the mainstream of significant wave height (SWH) retrieval from synthetic aperture radar (SAR). But the plentiful features from multi-polarizations make the selection of input for the empirical model a problem. Therefore, the XGBoost models are developed and evaluated for SWH retrieval from polarimetric Gaofen-3 wave mode imagettes using the SAR features of different polarization combinations, and then the importance of each feature on the models is further discussed. The results show that the reliability of SWH retrieval models is independently confirmed based on the collocations of the SAR-buoy and SAR-altimeter. Moreover, the combined-polarization models achieve better performance than single-polarizations. In addition, the importance of different features to the different polarization models for SWH inversion is not the same. For example, the normalized radar cross section (NRCS), cutoff wavelength (λc), and incident angle (θ) have more decisive contributions to the models than other features, while peak wavelength (λp) and the peak direction (φ) have almost no contribution. Besides, NRCS of cross-polarization has a more substantial effect, and the λc of hybrid polarization has a stronger one than other polarization models.
Funder
National Natural Science Foundation of China
Key Program of Joint Fund of the National Natural Science Foundation of China and Shandong Province
Fund of Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources
Subject
General Earth and Planetary Sciences
Cited by
3 articles.
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