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http://hdl.handle.net/1893/36216
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DC Field | Value | Language |
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dc.contributor.author | Zhou, Yu-Hang | en_UK |
dc.contributor.author | Hao, Meng-Yu | en_UK |
dc.contributor.author | Shao, Wei-Zeng | en_UK |
dc.contributor.author | Marino, Armando | en_UK |
dc.contributor.author | Song, Xin-Gai | en_UK |
dc.contributor.author | Jiang, Xing-Wei | en_UK |
dc.date.accessioned | 2024-09-20T00:01:33Z | - |
dc.date.available | 2024-09-20T00:01:33Z | - |
dc.date.issued | 2024 | en_UK |
dc.identifier.other | 2364706 | en_UK |
dc.identifier.uri | http://hdl.handle.net/1893/36216 | - |
dc.description.abstract | Chinese 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.iso | en | en_UK |
dc.publisher | Informa UK Limited | en_UK |
dc.relation | Zhou 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/10.1080/22797254.2024.2364706 | en_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.uri | http://creativecommons.org/licenses/by/4.0/ | en_UK |
dc.subject | wind | en_UK |
dc.subject | wave | en_UK |
dc.subject | 1m-sar | en_UK |
dc.title | Preliminary analysis of wind and wave retrieval from Chinese 1mC-SAR image | en_UK |
dc.type | Journal Article | en_UK |
dc.identifier.doi | 10.1080/22797254.2024.2364706 | en_UK |
dc.citation.jtitle | European Journal of Remote Sensing | en_UK |
dc.citation.issn | 2279-7254 | en_UK |
dc.citation.volume | 57 | en_UK |
dc.citation.issue | 1 | en_UK |
dc.citation.publicationstatus | Published | en_UK |
dc.citation.peerreviewed | Refereed | en_UK |
dc.type.status | VoR - Version of Record | en_UK |
dc.contributor.funder | Natural Science Foundation of Shanghai | en_UK |
dc.contributor.funder | National Natural Science Foundation of China | en_UK |
dc.contributor.funder | National Key Research and Development Program of China | en_UK |
dc.author.email | armando.marino@stir.ac.uk | en_UK |
dc.citation.date | 13/06/2024 | en_UK |
dc.contributor.affiliation | Shanghai Ocean University | en_UK |
dc.contributor.affiliation | Shanghai Ocean University | en_UK |
dc.contributor.affiliation | Shanghai Ocean University | en_UK |
dc.contributor.affiliation | Biological and Environmental Sciences | en_UK |
dc.contributor.affiliation | National Satellite Ocean Application Service (NSOAS) | en_UK |
dc.contributor.affiliation | National Satellite Ocean Application Service (NSOAS) | en_UK |
dc.identifier.isi | WOS:001247604900001 | en_UK |
dc.identifier.scopusid | 2-s2.0-85196087762 | en_UK |
dc.identifier.wtid | 2019344 | en_UK |
dc.contributor.orcid | 0000-0003-3693-6217 | en_UK |
dc.contributor.orcid | 0000-0002-4531-3102 | en_UK |
dc.date.accepted | 2024-06-03 | en_UK |
dcterms.dateAccepted | 2024-06-03 | en_UK |
dc.date.filedepositdate | 2024-09-19 | en_UK |
rioxxterms.apc | not required | en_UK |
rioxxterms.type | Journal Article/Review | en_UK |
rioxxterms.version | VoR | en_UK |
local.rioxx.author | Zhou, Yu-Hang| | en_UK |
local.rioxx.author | Hao, Meng-Yu| | en_UK |
local.rioxx.author | Shao, Wei-Zeng|0000-0003-3693-6217 | en_UK |
local.rioxx.author | Marino, Armando|0000-0002-4531-3102 | en_UK |
local.rioxx.author | Song, Xin-Gai| | en_UK |
local.rioxx.author | Jiang, Xing-Wei| | en_UK |
local.rioxx.project | 23ZR1426900|Natural Science Foundation of Shanghai| | en_UK |
local.rioxx.project | 42076238 and 42376174|National Natural Science Foundation of China| | en_UK |
local.rioxx.project | 2023YFE0102400|National Key Research and Development Program of China| | en_UK |
local.rioxx.freetoreaddate | 2024-09-19 | en_UK |
local.rioxx.licence | http://creativecommons.org/licenses/by/4.0/|2024-09-19| | en_UK |
local.rioxx.filename | Zhou-etal-EJRS-2024.pdf | en_UK |
local.rioxx.filecount | 1 | en_UK |
local.rioxx.source | 2279-7254 | en_UK |
Appears in Collections: | Biological and Environmental Sciences Journal Articles |
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File | Description | Size | Format | |
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Zhou-etal-EJRS-2024.pdf | Fulltext - Published Version | 9.33 MB | Adobe PDF | View/Open |
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