Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36216
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dc.contributor.authorZhou, Yu-Hangen_UK
dc.contributor.authorHao, Meng-Yuen_UK
dc.contributor.authorShao, Wei-Zengen_UK
dc.contributor.authorMarino, Armandoen_UK
dc.contributor.authorSong, Xin-Gaien_UK
dc.contributor.authorJiang, Xing-Weien_UK
dc.date.accessioned2024-09-20T00:01:33Z-
dc.date.available2024-09-20T00:01:33Z-
dc.date.issued2024en_UK
dc.identifier.other2364706en_UK
dc.identifier.urihttp://hdl.handle.net/1893/36216-
dc.description.abstractChinese satellite carrying synthetic aperture radar (SAR) with spatial resolution up to 1 m, denoted as 1mC-SAR, is the successor of Gaofen-3 (GF-3). The main purpose of this study is to conduct the preliminary analysis of wind and wave retrieval from more than 400 1mC-SAR images acquired in quad-polarization stripmap (QPS), which are located at China coastal waters on April 2023. The co-polarized (vertical−vertical [VV] and horizontal−horizontal [HH]) geophy sical model function (GMF), denoted as CSARMOD-GF, is employed for wind speed retrieval from those images taking prior information on wind directions from European Centre for Medium-Range Weather Forecasts (ECMWF). Validation against the wind products from Haiyang-2 (HY-2) (2B/2C/2D) scatterometers yields a 1.78/1.91 m/s root mean squared error (RMSE) with a 0.22/0.23 scatter index (SI) for SAR retrievals at VV/HH polarization channels. Moreover, the accuracy of SAR-derived winds at spatial resolution of 2 km for QPS-I and 6 km for QPS-II is relatively higher than that achieved from the retrievals at spatial resolution of 4 km for QPS-I and 12 km. The wave slop spectrum is inverted from co-polarized image by polarimetric technique, in which the term of wind speed is included in the model transfer function (MTF) of tilt modulation. Significant wave height (SWH) retrievals are compared with the simulations by the third-generation numeric wave model, denoted as WAVEWATCH-III (WW3), showing a 0.53 m RMSE with a 0.36 SI. This behavior is also confirmed as comparing with SAR-derived wave spectra and WW3-simulated wave spectra, i.e. a 0.79 correlation coefficient (Cor) and a 0.92 squared error (Err). The variation of bias in wind speed and SWH indicates an increasing tendency with the growth of sea state, meaning that calibration is a heedful issue for 1mC-SAR.en_UK
dc.language.isoenen_UK
dc.publisherInforma UK Limiteden_UK
dc.relationZhou Y, Hao M, Shao W, Marino A, Song X & Jiang X (2024) Preliminary analysis of wind and wave retrieval from Chinese 1mC-SAR image. <i>European Journal of Remote Sensing</i>, 57 (1), Art. No.: 2364706. https://doi.org/10.1080/22797254.2024.2364706en_UK
dc.rights© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectwinden_UK
dc.subjectwaveen_UK
dc.subject1m-saren_UK
dc.titlePreliminary analysis of wind and wave retrieval from Chinese 1mC-SAR imageen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1080/22797254.2024.2364706en_UK
dc.citation.jtitleEuropean Journal of Remote Sensingen_UK
dc.citation.issn2279-7254en_UK
dc.citation.volume57en_UK
dc.citation.issue1en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderNatural Science Foundation of Shanghaien_UK
dc.contributor.funderNational Natural Science Foundation of Chinaen_UK
dc.contributor.funderNational Key Research and Development Program of Chinaen_UK
dc.author.emailarmando.marino@stir.ac.uken_UK
dc.citation.date13/06/2024en_UK
dc.contributor.affiliationShanghai Ocean Universityen_UK
dc.contributor.affiliationShanghai Ocean Universityen_UK
dc.contributor.affiliationShanghai Ocean Universityen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationNational Satellite Ocean Application Service (NSOAS)en_UK
dc.contributor.affiliationNational Satellite Ocean Application Service (NSOAS)en_UK
dc.identifier.isiWOS:001247604900001en_UK
dc.identifier.scopusid2-s2.0-85196087762en_UK
dc.identifier.wtid2019344en_UK
dc.contributor.orcid0000-0003-3693-6217en_UK
dc.contributor.orcid0000-0002-4531-3102en_UK
dc.date.accepted2024-06-03en_UK
dcterms.dateAccepted2024-06-03en_UK
dc.date.filedepositdate2024-09-19en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorZhou, Yu-Hang|en_UK
local.rioxx.authorHao, Meng-Yu|en_UK
local.rioxx.authorShao, Wei-Zeng|0000-0003-3693-6217en_UK
local.rioxx.authorMarino, Armando|0000-0002-4531-3102en_UK
local.rioxx.authorSong, Xin-Gai|en_UK
local.rioxx.authorJiang, Xing-Wei|en_UK
local.rioxx.project23ZR1426900|Natural Science Foundation of Shanghai|en_UK
local.rioxx.project42076238 and 42376174|National Natural Science Foundation of China|en_UK
local.rioxx.project2023YFE0102400|National Key Research and Development Program of China|en_UK
local.rioxx.freetoreaddate2024-09-19en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2024-09-19|en_UK
local.rioxx.filenameZhou-etal-EJRS-2024.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2279-7254en_UK
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