Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33081
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dc.contributor.authorNunziata, Ferdinandoen_UK
dc.contributor.authorLi, Xiaofengen_UK
dc.contributor.authorMarino, Armandoen_UK
dc.contributor.authorShao, Weizengen_UK
dc.contributor.authorPortabella, Marcosen_UK
dc.contributor.authorYang, Xiaofengen_UK
dc.contributor.authorBuono, Andreaen_UK
dc.date.accessioned2021-08-12T07:12:22Z-
dc.date.available2021-08-12T07:12:22Z-
dc.date.issued2021-08en_UK
dc.identifier.other3126en_UK
dc.identifier.urihttp://hdl.handle.net/1893/33081-
dc.description.abstractIn this project report, the main outcomes relevant to the Sino-European Dragon-4 cooperation project ID 32235 “Microwave satellite measurements for coastal area and extreme weather monitoring” are reported. The project aimed at strengthening the Sino-European research cooperation in the exploitation of European Space Agency, Chinese and third-party mission Earth Observation (EO) microwave satellite data. The latter were exploited to perform an effective monitoring of coastal areas, even under extreme weather conditions. An integrated multifrequency/polarization approach based on complementary microwave sensors (e.g., Synthetic Aperture Radar, scatterometer, radiometer), together with ancillary information coming from independent sources, i.e., optical imagery, numerical simulations and ground measurements, was designed. In this framework, several tasks were addressed including marine target detection, sea pollution, sea surface wind estimation and coastline extraction/classification. The main outcomes are both theoretical (i.e., new models and algorithms were developed) and applicative (i.e., user-friendly maps were provided to the end-user community of coastal area management according to smart processing of remotely sensed data). The scientific relevance consists in the development of new algorithms, the effectiveness and robustness of which were verified on actual microwave measurements, and the improvement of existing methodologies to deal with challenging test cases.en_UK
dc.language.isoenen_UK
dc.publisherMDPI AGen_UK
dc.relationNunziata F, Li X, Marino A, Shao W, Portabella M, Yang X & Buono A (2021) Microwave Satellite Measurements for Coastal Area and Extreme Weather Monitoring. Remote Sensing, 13 (16), Art. No.: 3126. https://doi.org/10.3390/rs13163126en_UK
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_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectmicrowave satellitesen_UK
dc.subjectmultipolarizationen_UK
dc.subjectmultifrequencyen_UK
dc.subjectoceansen_UK
dc.subjectcoastal areasen_UK
dc.subjectcoastlineen_UK
dc.subjectsea wind fielden_UK
dc.subjectocean pollutionen_UK
dc.subjectshipsen_UK
dc.titleMicrowave Satellite Measurements for Coastal Area and Extreme Weather Monitoringen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.3390/rs13163126en_UK
dc.citation.jtitleRemote Sensingen_UK
dc.citation.issn2072-4292en_UK
dc.citation.volume13en_UK
dc.citation.issue16en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderEuropean Space Agencyen_UK
dc.author.emailarmando.marino@stir.ac.uken_UK
dc.citation.date06/08/2021en_UK
dc.contributor.affiliationUniversity of Naples Parthenopeen_UK
dc.contributor.affiliationChinese Academy of Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationZhejiang Ocean Universityen_UK
dc.contributor.affiliationSpanish National Research Council (CSIC)en_UK
dc.contributor.affiliationChinese Academy of Sciencesen_UK
dc.contributor.affiliationUniversity of Naples Parthenopeen_UK
dc.identifier.isiWOS:000690104800001en_UK
dc.identifier.scopusid2-s2.0-85112578039en_UK
dc.identifier.wtid1746549en_UK
dc.contributor.orcid0000-0003-4567-0377en_UK
dc.contributor.orcid0000-0001-7038-5119en_UK
dc.contributor.orcid0000-0002-4531-3102en_UK
dc.contributor.orcid0000-0002-9972-9090en_UK
dc.contributor.orcid0000-0001-9920-4641en_UK
dc.contributor.orcid0000-0002-5523-7609en_UK
dc.date.accepted2021-08-04en_UK
dcterms.dateAccepted2021-08-04en_UK
dc.date.filedepositdate2021-08-11en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorNunziata, Ferdinando|0000-0003-4567-0377en_UK
local.rioxx.authorLi, Xiaofeng|0000-0001-7038-5119en_UK
local.rioxx.authorMarino, Armando|0000-0002-4531-3102en_UK
local.rioxx.authorShao, Weizeng|en_UK
local.rioxx.authorPortabella, Marcos|0000-0002-9972-9090en_UK
local.rioxx.authorYang, Xiaofeng|0000-0001-9920-4641en_UK
local.rioxx.authorBuono, Andrea|0000-0002-5523-7609en_UK
local.rioxx.projectProject ID unknown|European Space Agency|http://dx.doi.org/10.13039/501100000844en_UK
local.rioxx.freetoreaddate2021-08-11en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2021-08-11|en_UK
local.rioxx.filenameremotesensing-13-03126-v2.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2072-4292en_UK
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