Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93543
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorResearch Institute for Sustainable Urban Development-
dc.creatorXu, Jen_US
dc.creatorLiu, Zen_US
dc.date.accessioned2022-07-08T01:03:01Z-
dc.date.available2022-07-08T01:03:01Z-
dc.identifier.issn0196-2892en_US
dc.identifier.urihttp://hdl.handle.net/10397/93543-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication Xu, J., & Liu, Z. (2021). The First Validation of Sentinel-3 OLCI Integrated Water Vapor Products Using Reference GPS Data in Mainland China. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-17 is available at https://doi.org/10.1109/TGRS.2021.3099168en_US
dc.subjectGlobal positioning system (GPS)en_US
dc.subjectIntegrated water vapor (IWV)en_US
dc.subjectOcean and land color instrument (OLCI)en_US
dc.subjectValidationen_US
dc.titleThe first validation of Sentinel-3 OLCI integrated water vapor products using reference GPS data in Mainland Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage17en_US
dc.identifier.volume60en_US
dc.identifier.doi10.1109/TGRS.2021.3099168en_US
dcterms.abstractThe integrated water vapor (IWV) products collected from June 1, 2019 to May 31, 2020 from the ocean and land color instrument (OLCI) sensor, onboard the Sentinel-3 satellites, are evaluated against reference water vapor data estimated from ground-based 214 global positioning system (GPS) stations in the Mainland China. This is the first time to thoroughly evaluate the quality of Sentinel-3 OLCI IWV products by in situ GPS-measured IWV data from such a large spatial coverage as China. The validation results show that, under cloud-free conditions, the OLCI IWV measurements agree very well with the ground-based GPS water vapor data, with a root-mean-square error (RMSE) of 3.03 mm for Sentinel-3A satellite and 3.13 mm for Sentinel-3B satellite. The dependence of OLCI IWV on various parameters was also analyzed. Analysis showed that the accuracy of inland OLCI IWV products was superior to that in coastal areas and that OLCI tended to overestimate IWV value in lower elevation and underestimate IWV value in higher elevation. The accuracy of OLCI IWV measurements increased as IWV decreased. Solar zenith angle analysis showed that the OLCI IWV product had a higher accuracy at a larger solar zenith angle. In spring and winter, the OLCI IWV observations had higher accuracy than those in summer and autumn. OLCI IWV tended to underestimate IWV value in most land cover types. Except for the polar climatic zone, the Sentinel-3 OLCI IWV products tended to overestimate IWV value. The validation results against previous studies were also discussed in this work.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on geoscience and remote sensing, 2022, v. 60, 4102817, p. 1-17en_US
dcterms.isPartOfIEEE transactions on geoscience and remote sensingen_US
dcterms.issued2022-
dc.identifier.scopus2-s2.0-85112662181-
dc.identifier.eissn1558-0644en_US
dc.identifier.artn4102817en_US
dc.description.validate202207 bcfc-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLSGI-0070-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China;Emerging Frontier Area (EFA) Scheme of Research Institute for Sustainable Urban Development (RISUD) of The Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS56133582-
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