Shengren Fan , Vladimir Kudryavtsev , Yury Yurovsky , Biao Zhang
{"title":"利用SAR多普勒频移测量数据重建海洋表面流矢量场","authors":"Shengren Fan , Vladimir Kudryavtsev , Yury Yurovsky , Biao Zhang","doi":"10.1016/j.rse.2025.114855","DOIUrl":null,"url":null,"abstract":"<div><div>The Doppler shift observed by single-beam synthetic aperture radar (SAR) has been widely used to retrieve the radial velocity of ocean surface currents. However, operational marine forecasting centers require full surface current vector fields for data assimilation and forecast validation. To address this need, we propose a method to reconstruct the two-dimensional surface current vector from SAR Doppler shift measurements, under the assumption that ocean mesoscale currents are quasi-geostrophic. In this approach, the known range-directed current velocity derived from SAR Doppler shift measurements is used to estimate the azimuthal component based on the geostrophic approximation. The feasibility of the proposed method is preliminarily assessed by comparing the reconstructed surface current fields with global ocean analysis and forecast products from the Copernicus Marine Environment Monitoring Service (CMEMS). The results show a bias of 0.01 m/s and a root mean square error (RMSE) of 0.1 m/s. Additionally, surface current fields in the Gulf Stream and Agulhas Current regions are reconstructed using Sentinel-1A SAR Doppler shift observations and validated against collocated drifting buoy measurements, yielding a bias of 0.05 m/s and a RMSE of 0.19 m/s. These findings suggest that the potential of the proposed method for accurately reconstructing surface current fields from SAR Doppler measurements.</div></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"328 ","pages":"Article 114855"},"PeriodicalIF":11.4000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reconstructing ocean surface current vector field from SAR doppler shift measurements\",\"authors\":\"Shengren Fan , Vladimir Kudryavtsev , Yury Yurovsky , Biao Zhang\",\"doi\":\"10.1016/j.rse.2025.114855\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The Doppler shift observed by single-beam synthetic aperture radar (SAR) has been widely used to retrieve the radial velocity of ocean surface currents. However, operational marine forecasting centers require full surface current vector fields for data assimilation and forecast validation. To address this need, we propose a method to reconstruct the two-dimensional surface current vector from SAR Doppler shift measurements, under the assumption that ocean mesoscale currents are quasi-geostrophic. In this approach, the known range-directed current velocity derived from SAR Doppler shift measurements is used to estimate the azimuthal component based on the geostrophic approximation. The feasibility of the proposed method is preliminarily assessed by comparing the reconstructed surface current fields with global ocean analysis and forecast products from the Copernicus Marine Environment Monitoring Service (CMEMS). The results show a bias of 0.01 m/s and a root mean square error (RMSE) of 0.1 m/s. Additionally, surface current fields in the Gulf Stream and Agulhas Current regions are reconstructed using Sentinel-1A SAR Doppler shift observations and validated against collocated drifting buoy measurements, yielding a bias of 0.05 m/s and a RMSE of 0.19 m/s. These findings suggest that the potential of the proposed method for accurately reconstructing surface current fields from SAR Doppler measurements.</div></div>\",\"PeriodicalId\":417,\"journal\":{\"name\":\"Remote Sensing of Environment\",\"volume\":\"328 \",\"pages\":\"Article 114855\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing of Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0034425725002597\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0034425725002597","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Reconstructing ocean surface current vector field from SAR doppler shift measurements
The Doppler shift observed by single-beam synthetic aperture radar (SAR) has been widely used to retrieve the radial velocity of ocean surface currents. However, operational marine forecasting centers require full surface current vector fields for data assimilation and forecast validation. To address this need, we propose a method to reconstruct the two-dimensional surface current vector from SAR Doppler shift measurements, under the assumption that ocean mesoscale currents are quasi-geostrophic. In this approach, the known range-directed current velocity derived from SAR Doppler shift measurements is used to estimate the azimuthal component based on the geostrophic approximation. The feasibility of the proposed method is preliminarily assessed by comparing the reconstructed surface current fields with global ocean analysis and forecast products from the Copernicus Marine Environment Monitoring Service (CMEMS). The results show a bias of 0.01 m/s and a root mean square error (RMSE) of 0.1 m/s. Additionally, surface current fields in the Gulf Stream and Agulhas Current regions are reconstructed using Sentinel-1A SAR Doppler shift observations and validated against collocated drifting buoy measurements, yielding a bias of 0.05 m/s and a RMSE of 0.19 m/s. These findings suggest that the potential of the proposed method for accurately reconstructing surface current fields from SAR Doppler measurements.
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.