Development and Validation of Empirical Wave Retrieval Algorithms for Sentinel-1 Synthetic Aperture Radar in HH-Polarization
- Resource Type
- Conference
- Authors
- Shao, Weizeng; Li, Xiaofeng; Sun, Zhanfeng; Zuo, Juncheng
- Source
- IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2018 - 2018 IEEE International. :6049-6052 Jul, 2018
- Subject
- Aerospace
Computing and Processing
Fields, Waves and Electromagnetics
Geoscience
Photonics and Electrooptics
Signal Processing and Analysis
Synthetic aperture radar
US Government agencies
Wind speed
Azimuth
Surface waves
Sea surface
Significant wave height
Sentinel-1 SAR
Algorithm
- Language
- ISSN
- 2153-7003
In our work, three empirical algorithms for significant wave height (SWH) retrieval have been tuned for horizontal-horizontal (HH) polarization Sentinel-1 SAR. We extracted more than ten thousand sub-scenes from available 200 images, which were treated as a dataset with collocated SWH from European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis wave data at a 0.125 ° grid. Two algorithms are based on the relation between SWH and azimuthal cutoff wavelength named CSAR_WAVEs and the other is called XWAVE which was originally explored for SWH retrieval from X-band SAR data. The three empirical algorithms have been tuned for HH-polarization Sentinel-1 SAR through the dataset. Additional 83 HH-polarization Sentinel-1 SAR images were carried out to retrieve SWH by using the four algorithms. Although the three algorithms allow estimating SWH from HH-polarization Sentinel-1 SAR, the algorithm herein called CSAR_WAVE_S is recommended for use due to less comparative error of a 0.57m STD of SWH