Polarization-Enhancement Effects for the Retrieval of Significant Wave Heights from Gaofen-3 SAR Wave Mode Data
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作者:
Yan, Qiushuang
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China Univ Petr, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Minist Nat Resources, Technol Innovat Ctr Maritime Silk Rd Marine Resour, Qingdao 266580, Peoples R ChinaChina Univ Petr, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Yan, Qiushuang
[1
,2
]
Fan, Chenqing
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机构:
Minist Nat Resources, Technol Innovat Ctr Maritime Silk Rd Marine Resour, Qingdao 266580, Peoples R China
Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China
Minist Nat Resources, Technol Innovat Ctr Ocean Telemetry, Qingdao 266061, Peoples R ChinaChina Univ Petr, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Fan, Chenqing
[2
,3
,4
]
Song, Tianran
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机构:
China Univ Petr, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R ChinaChina Univ Petr, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Song, Tianran
[1
]
Zhang, Jie
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机构:
China Univ Petr, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Minist Nat Resources, Technol Innovat Ctr Maritime Silk Rd Marine Resour, Qingdao 266580, Peoples R China
Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China
Minist Nat Resources, Technol Innovat Ctr Ocean Telemetry, Qingdao 266061, Peoples R ChinaChina Univ Petr, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Zhang, Jie
[1
,2
,3
,4
]
机构:
[1] China Univ Petr, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
[2] Minist Nat Resources, Technol Innovat Ctr Maritime Silk Rd Marine Resour, Qingdao 266580, Peoples R China
[3] Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China
[4] Minist Nat Resources, Technol Innovat Ctr Ocean Telemetry, Qingdao 266061, Peoples R China
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 degrees 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 degrees 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.
机构:
China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Imperial Coll London, Dept Civil & Environm Engn, London SW7 2AZ, EnglandChina Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Fang, Yuxin
Fan, Chenqing
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Imperial Coll London, Dept Civil & Environm Engn, London SW7 2AZ, EnglandChina Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Fan, Chenqing
Cao, Rui
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Imperial Coll London, Dept Civil & Environm Engn, London SW7 2AZ, EnglandChina Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Cao, Rui
Meng, Junmin
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机构:China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Meng, Junmin
Zhang, Jie
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机构:
China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R ChinaChina Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
Zhang, Jie
Yan, Qiushuang
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机构:
China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R ChinaChina Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
机构:
Shanghai Ocean Univ, Guangzhou, Peoples R ChinaShanghai Ocean Univ, Guangzhou, Peoples R China
Sun, Zhanfeng
Shao, Weizeng
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机构:
Shanghai Ocean Univ, Guangzhou, Peoples R China
Guangzhou Lab, Coll Marine Sci, Shanghai, Peoples R ChinaShanghai Ocean Univ, Guangzhou, Peoples R China
Shao, Weizeng
Jiang, Xingwei
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Guangzhou Lab, Coll Marine Sci, Shanghai, Peoples R ChinaShanghai Ocean Univ, Guangzhou, Peoples R China
Jiang, Xingwei
Nunziata, Ferdinando
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Univ Napoli Parthenope, Dipartimento Ingn, Naples, ItalyShanghai Ocean Univ, Guangzhou, Peoples R China
Nunziata, Ferdinando
Wang, Weili
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Minist Nat Resources, North China Sea Marine Forecasting Ctr, Qingdao, Peoples R ChinaShanghai Ocean Univ, Guangzhou, Peoples R China
Wang, Weili
Shen, Wei
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机构:
Minist Transport Peoples Republ China, China Waterborne Transport Res Inst, Beijing, Peoples R ChinaShanghai Ocean Univ, Guangzhou, Peoples R China
Shen, Wei
Migliaccio, Maurizio
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机构:
Ist Nazl Geofis & Vulcanol, Rome, ItalyShanghai Ocean Univ, Guangzhou, Peoples R China
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Univ Chinese Acad Sci, Beijing 101408, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Zhang, Tianyu
Li, Xiao-Ming
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机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao 266235, Shandong, Peoples R China
Hainan Key Lab Earth Observat, Sanya 572029, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Li, Xiao-Ming
Feng, Qian
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机构:
Natl Satellite Ocean Applicat Serv, Key Lab Space Ocean Remote Sensing & Applicat, Beijing 100081, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Feng, Qian
Ren, Yongzheng
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机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Hainan Key Lab Earth Observat, Sanya 572029, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Ren, Yongzheng
Shi, Yingni
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Mailbox 5111, Beijing 100094, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China