Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/33081
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nunziata, Ferdinando | en_UK |
dc.contributor.author | Li, Xiaofeng | en_UK |
dc.contributor.author | Marino, Armando | en_UK |
dc.contributor.author | Shao, Weizeng | en_UK |
dc.contributor.author | Portabella, Marcos | en_UK |
dc.contributor.author | Yang, Xiaofeng | en_UK |
dc.contributor.author | Buono, Andrea | en_UK |
dc.date.accessioned | 2021-08-12T07:12:22Z | - |
dc.date.available | 2021-08-12T07:12:22Z | - |
dc.date.issued | 2021-08 | en_UK |
dc.identifier.other | 3126 | en_UK |
dc.identifier.uri | http://hdl.handle.net/1893/33081 | - |
dc.description.abstract | In 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.iso | en | en_UK |
dc.publisher | MDPI AG | en_UK |
dc.relation | Nunziata 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/rs13163126 | en_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.uri | http://creativecommons.org/licenses/by/4.0/ | en_UK |
dc.subject | microwave satellites | en_UK |
dc.subject | multipolarization | en_UK |
dc.subject | multifrequency | en_UK |
dc.subject | oceans | en_UK |
dc.subject | coastal areas | en_UK |
dc.subject | coastline | en_UK |
dc.subject | sea wind field | en_UK |
dc.subject | ocean pollution | en_UK |
dc.subject | ships | en_UK |
dc.title | Microwave Satellite Measurements for Coastal Area and Extreme Weather Monitoring | en_UK |
dc.type | Journal Article | en_UK |
dc.identifier.doi | 10.3390/rs13163126 | en_UK |
dc.citation.jtitle | Remote Sensing | en_UK |
dc.citation.issn | 2072-4292 | en_UK |
dc.citation.volume | 13 | en_UK |
dc.citation.issue | 16 | 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 | European Space Agency | en_UK |
dc.author.email | armando.marino@stir.ac.uk | en_UK |
dc.citation.date | 06/08/2021 | en_UK |
dc.contributor.affiliation | University of Naples Parthenope | en_UK |
dc.contributor.affiliation | Chinese Academy of Sciences | en_UK |
dc.contributor.affiliation | Biological and Environmental Sciences | en_UK |
dc.contributor.affiliation | Zhejiang Ocean University | en_UK |
dc.contributor.affiliation | Spanish National Research Council (CSIC) | en_UK |
dc.contributor.affiliation | Chinese Academy of Sciences | en_UK |
dc.contributor.affiliation | University of Naples Parthenope | en_UK |
dc.identifier.isi | WOS:000690104800001 | en_UK |
dc.identifier.scopusid | 2-s2.0-85112578039 | en_UK |
dc.identifier.wtid | 1746549 | en_UK |
dc.contributor.orcid | 0000-0003-4567-0377 | en_UK |
dc.contributor.orcid | 0000-0001-7038-5119 | en_UK |
dc.contributor.orcid | 0000-0002-4531-3102 | en_UK |
dc.contributor.orcid | 0000-0002-9972-9090 | en_UK |
dc.contributor.orcid | 0000-0001-9920-4641 | en_UK |
dc.contributor.orcid | 0000-0002-5523-7609 | en_UK |
dc.date.accepted | 2021-08-04 | en_UK |
dcterms.dateAccepted | 2021-08-04 | en_UK |
dc.date.filedepositdate | 2021-08-11 | en_UK |
rioxxterms.apc | not required | en_UK |
rioxxterms.type | Journal Article/Review | en_UK |
rioxxterms.version | VoR | en_UK |
local.rioxx.author | Nunziata, Ferdinando|0000-0003-4567-0377 | en_UK |
local.rioxx.author | Li, Xiaofeng|0000-0001-7038-5119 | en_UK |
local.rioxx.author | Marino, Armando|0000-0002-4531-3102 | en_UK |
local.rioxx.author | Shao, Weizeng| | en_UK |
local.rioxx.author | Portabella, Marcos|0000-0002-9972-9090 | en_UK |
local.rioxx.author | Yang, Xiaofeng|0000-0001-9920-4641 | en_UK |
local.rioxx.author | Buono, Andrea|0000-0002-5523-7609 | en_UK |
local.rioxx.project | Project ID unknown|European Space Agency|http://dx.doi.org/10.13039/501100000844 | en_UK |
local.rioxx.freetoreaddate | 2021-08-11 | en_UK |
local.rioxx.licence | http://creativecommons.org/licenses/by/4.0/|2021-08-11| | en_UK |
local.rioxx.filename | remotesensing-13-03126-v2.pdf | en_UK |
local.rioxx.filecount | 1 | en_UK |
local.rioxx.source | 2072-4292 | en_UK |
Appears in Collections: | Biological and Environmental Sciences Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
remotesensing-13-03126-v2.pdf | Fulltext - Published Version | 3.48 MB | Adobe PDF | View/Open |
This item is protected by original copyright |
A file in this item is licensed under a Creative Commons License
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.