Polarization-Enhancement Effects for the Retrieval of Significant Wave Heights from Gaofen-3 SAR Wave Mode Data

Author:

Yan Qiushuang12,Fan Chenqing234,Song Tianran1,Zhang Jie1234

Affiliation:

1. College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China

2. Technology Innovation Center for Maritime Silk Road Marine Resources and Environment Networked Observation, Ministry of Natural Resources, Qingdao 266580, China

3. First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China

4. Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources, Qingdao 266061, China

Abstract

In order to investigate the impact of utilizing multiple pieces of polarization information on the performance of significant wave height (SWH) estimation from Gaofen-3 SAR data, the extreme gradient boosting (XGBoost) models were developed, validated, and compared across 9 single-polarizations and 39 combined-polarizations based on the collocated datasets of Gaofen-3 SAR wave mode imagettes matched with SWH data from ERA5 reanalysis as well as independent SWH observations from buoys and altimeters. The results show that the performance of our SWH inversion models varies across the nine different single-polarizations. The co-polarizations (HH, VV, and RL) and hybrid-polarizations (45° linear, RH, and RV) generally exhibit superior performance compared to the cross-polarizations (HV, VH, and RR) at low to moderate sea states, while the cross-polarizations are more advantageous for high SWH estimation. The combined use of multiple pieces of polarization information does not always improve the model performance in retrieving SWH from Gaofen-3 SAR. Only the polarization combinations that incorporate cross-polarization information have the potential to enhance the model performance. In these cases, the performance of our models consistently improves with the incorporation of additional polarization information; however, this improvement diminishes gradually with each subsequent polarization and may eventually reach a saturation point. The optimal estimation of SWH is achieved with the polarization combination of HV + VH + RR + RH + RV + 45° linear, which shows consistently lower RMSEs compared to ERA5 SWH (0.295 m), buoy SWH (0.273 m), Cryosat-2 SWH (0.109 m), Jason-3 SWH (0.414 m), and SARAL SWH (0.286 m). Nevertheless, it still exhibits a slight overestimation at low sea states and a slight underestimation at high sea states. The inadequate distribution of data may serve as a potential explanation for this.

Funder

National Natural Science Foundation of China

Key Program of the Joint Fund of the National Natural Science Foundation of China and Shandong Province

Fund of the Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference31 articles.

1. On the nonlinear mapping of an ocean wave spectrum into a synthetic aperture radar image spectrum and its inversion;Hasselmann;J. Geophys. Res. Oceans,1991

2. A semiempirical model of the normalized radar cross section of the sea surface, 2. radar modulation transfer function;Kudryavtsev;J. Geophys. Res. Oceans,2003

3. Estimation of significant wave height of near-range traveling ocean waves using Sentinel-1 SAR images;Pramudya;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2019

4. An empirical approach for the retrieval of integral ocean wave parameters from synthetic aperture radar data;Koenig;J. Geophys. Res. Oceans,2007

5. Ocean wave integral parameter measurements using Envisat ASAR wave mode data;Li;IEEE Trans. Geosci. Remote Sens.,2011

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3