Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93556
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorTang, Len_US
dc.creatorLouis, OPen_US
dc.creatorChen, Wen_US
dc.creatorChen, Men_US
dc.date.accessioned2022-07-08T01:03:05Z-
dc.date.available2022-07-08T01:03:05Z-
dc.identifier.urihttp://hdl.handle.net/10397/93556-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Tang, L., Louis, O. P., Chen, W., & Chen, M. (2021). A ROTI-Aided Equatorial Plasma Bubbles Detection Method. Remote Sensing, 13(21), 4356 is available at https://doi.org/10.3390/rs13214356en_US
dc.subjectGNSSen_US
dc.subjectIonosphereen_US
dc.subjectEquatorial plasma bubblesen_US
dc.subjectDetection methoden_US
dc.subjectROTIen_US
dc.titleA ROTI-aided equatorial plasma bubbles detection methoden_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume13en_US
dc.identifier.issue21en_US
dc.identifier.doi10.3390/rs13214356en_US
dcterms.abstractIn this study, we present a Rate of Total Electron Content Index (ROTI)-aided equatorial plasma bubbles (EPBs) detection method based on a Global Navigation Satellite System (GNSS) ionospheric Total Electron Content (TEC). This technique seeks the EPBs occurrence time according to the ROTI values and then extracts the detrended ionospheric TEC series, which include EPBs signals using a low-order, partial polynomial fitting strategy. The EPBs over the Hong Kong area during the year of 2014 were detected using this technique. The results show that the temporal distribution and occurrence of EPBs over the Hong Kong area are consistent with that of previous reports, and most of the TEC depletion error is smaller than 1.5 TECU (average is 0.63 TECU), suggesting that the detection method is feasible and highly accurate. Furthermore, this technique can extract the TEC depletion series more effectively, especially for those with a long duration, compared to previous method.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationRemote sensing, Nov. 2021, v. 13, no. 21, 4356en_US
dcterms.isPartOfRemote sensingen_US
dcterms.issued2021-11-
dc.identifier.scopus2-s2.0-85118500729-
dc.identifier.eissn2072-4292en_US
dc.identifier.artn4356en_US
dc.description.validate202207 bcfcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberLSGI-0477-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China (Grant number 41804021, 41974014).en_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS60569956-
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