Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/19296
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Themistocleous, Kyriacos | - |
dc.contributor.author | Papoutsa, Christiana | - |
dc.contributor.author | Michaelides, Silas | - |
dc.contributor.author | Hadjimitsis, Diofantos G. | - |
dc.date.accessioned | 2020-10-29T07:52:21Z | - |
dc.date.available | 2020-10-29T07:52:21Z | - |
dc.date.issued | 2020-08-02 | - |
dc.identifier.citation | Remote Sensing, 2020, vol. 12, no. 16, articl. no. 2648 | en_US |
dc.identifier.issn | 2072-4292 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/19296 | - |
dc.description.abstract | Plastic litter floating in the ocean is a significant problem on a global scale. This study examines whether Sentinel-2 satellite images can be used to identify plastic litter on the sea surface for monitoring, collection and disposal. A pilot study was conducted to determine if plastic targets on the sea surface can be detected using remote sensing techniques with Sentinel-2 data. A target made up of plastic water bottles with a surface measuring 3 m × 10 m was created, which was subsequently placed in the sea near the Old Port in Limassol, Cyprus. An unmanned aerial vehicle (UAV) was used to acquire multispectral aerial images of the area of interest during the same time as the Sentinel-2 satellite overpass. Spectral signatures of the water and the plastic litter after it was placed in the water were taken with an SVC HR1024 spectroradiometer. The study found that the plastic litter target was easiest to detect in the NIR wavelengths. Seven established indices for satellite image processing were examined to determine whether they can identify plastic litter in the water. Further, the authors examined two new indices, the Plastics Index (PI) and the Reversed Normalized Difference Vegetation Index (RNDVI) to be used in the processing of the satellite image. The newly developed Plastic Index (PI) was able to identify plastic objects floating on the water surface and was the most effective index in identifying the plastic litter target in the sea. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation | ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment | en_US |
dc.relation.ispartof | Remote Sensing | en_US |
dc.rights | © by the authors. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Plastic litter | en_US |
dc.subject | Remote sensing | en_US |
dc.subject | Satellite images | en_US |
dc.subject | Sentinel-2 | en_US |
dc.subject | Spectral indices | en_US |
dc.subject | Spectroscopy | en_US |
dc.subject | UAVs | en_US |
dc.title | Investigating detection of floating plastic litter from space using sentinel-2 imagery | en_US |
dc.type | Article | en_US |
dc.collaboration | ERATOSTHENES Centre of Excellence | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Civil Engineering | en_US |
dc.journals | Open Access | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.3390/RS12162648 | en_US |
dc.relation.issue | 16 | en_US |
dc.relation.volume | 12 | en_US |
cut.common.academicyear | 2019-2020 | en_US |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | article | - |
item.languageiso639-1 | en | - |
crisitem.journal.journalissn | 2072-4292 | - |
crisitem.journal.publisher | MDPI | - |
crisitem.project.funder | European Commission | - |
crisitem.project.grantno | H2020-WIDESPREAD-2018-01 / WIDESPREAD-01-2018-2019 Teaming Phase 2 | - |
crisitem.project.fundingProgram | H2020 Spreading Excellence, Widening Participation, Science with and for Society | - |
crisitem.project.openAire | info:eu-repo/grantAgreeent/EC/H2020/857510 | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-4149-8282 | - |
crisitem.author.orcid | 0000-0002-2177-7391 | - |
crisitem.author.orcid | 0000-0002-3853-5065 | - |
crisitem.author.orcid | 0000-0002-2684-547X | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence |
Files in This Item:
File | Description | Size | Format | |
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remotesensing-12-02648-v2.pdf | Fulltext | 7.11 MB | Adobe PDF | View/Open |
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