{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T16:13:33Z","timestamp":1769271213593,"version":"3.49.0"},"reference-count":50,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T00:00:00Z","timestamp":1725321600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["42076238"],"award-info":[{"award-number":["42076238"]}]},{"name":"National Natural Science Foundation of China","award":["42376174"],"award-info":[{"award-number":["42376174"]}]},{"name":"National Natural Science Foundation of China","award":["23ZR1426900"],"award-info":[{"award-number":["23ZR1426900"]}]},{"name":"Natural Science Foundation of Shanghai","award":["42076238"],"award-info":[{"award-number":["42076238"]}]},{"name":"Natural Science Foundation of Shanghai","award":["42376174"],"award-info":[{"award-number":["42376174"]}]},{"name":"Natural Science Foundation of Shanghai","award":["23ZR1426900"],"award-info":[{"award-number":["23ZR1426900"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In this study, a novel algorithm to retrieve the current speed along the range direction under extreme sea states is developed from C-band synthetic aperture radar imagery. To this aim, a Sentinel-1 (S-1) dual-polarized synthetic aperture radar (SAR) dataset consisting of 2300 images is collected during 200 tropical cyclones (TCs). The dataset is complemented with collocated wave simulations from the Wavewatch-III (WW3) model and reanalysis currents from the HYbrid Coordinate Ocean Model (HYCOM). The corresponding TC winds are officially released by IFRMER, while the Stokes drift following the wave propagation direction is estimated from the waves simulated by WW3. In this study, first the dependence of wind, Stokes drift, and range current on the Doppler centroid anomaly is investigated, and then the extreme gradient boosting (XGBoost) machine learning model is trained on 87% of the S-1 dataset for range current retrieval purposes. The rest of the dataset is used for testing the retrieval algorithm, showing a root mean square error (RMSE) and a correlation coefficient (r) of 0.11 m\/s and 0.97, respectively, with the HYCOM outputs. A validation against measurements collected from two high-frequency (HF) phased-array radars is also performed, resulting in an RMSE and r of 0.12 m\/s and 0.75, respectively. Those validation results are better than the 0.22 m\/s RMSE and 0.28 r achieved by the empirical CDOP model. Hence, the experimental results confirm the soundness of the XGBoost, exhibiting a certain improvement over the empirical model.<\/jats:p>","DOI":"10.3390\/rs16173271","type":"journal-article","created":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T08:38:47Z","timestamp":1725352727000},"page":"3271","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An Algorithm to Retrieve Range Ocean Current Speed under Tropical Cyclone Conditions from Sentinel-1 Synthetic Aperture Radar Measurements Based on XGBoost"],"prefix":"10.3390","volume":"16","author":[{"given":"Yuhang","family":"Zhou","sequence":"first","affiliation":[{"name":"College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201308, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3693-6217","authenticated-orcid":false,"given":"Weizeng","family":"Shao","sequence":"additional","affiliation":[{"name":"College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201308, China"}]},{"given":"Ferdinando","family":"Nunziata","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria, Universit\u00e0 degli Studi di Napoli Parthenope, 80133 Napoli, Italy"}]},{"given":"Weili","family":"Wang","sequence":"additional","affiliation":[{"name":"Hainan Observation and Research Station of Ecological Environment and Fishery Resource in Yazhou Bay, Hainan Institute of Zhejiang University, Sanya 572025, China"}]},{"given":"Cheng","family":"Li","sequence":"additional","affiliation":[{"name":"National Marine Data and Information Service, Tianjin 300171, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1109\/36.662731","article-title":"Validating a scatterometer wind algorithm for ERS-1 SAR","volume":"36","author":"Fetterer","year":"1998","journal-title":"IEEE Trans. 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