Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/22427
DC FieldValueLanguage
dc.contributor.authorAgapiou, Athos-
dc.date.accessioned2021-03-11T11:59:00Z-
dc.date.available2021-03-11T11:59:00Z-
dc.date.issued2020-08-11-
dc.identifier.citationJournal of Computer Applications in Archaeology, 2020, vol. 3, no. 1, pp. 219–237en_US
dc.identifier.issn2514-8362-
dc.identifier.urihttps://ktisis.cut.ac.cy/handle/10488/22427-
dc.description.abstractThis study aims to investigate the potentials of open-access, freely distributed Earth Observation images for detecting large-scale looted areas. The analysis was conducted using medium-resolution Landsat 7 ETM+ images over the archaeological site of Apamea, at Syria. The site has been systematically and extensively looted in the recent past, attracting the interest of scholars. We propose a multi-temporal analysis of cloud-free multispectral Landsat 7 ETM+ images throughout the period between January 2011 to April 2012, just at the beginning of the Syrian war. The analysis was completed through the interpretation of pseudo-color temporal composites, investigation of the multi-temporal spectral profiles, correlations between the spectral bands, and the application of principal component analysis (PCA). The overall analysis was limited within the spectral range of 450–1750 nm. This wavelength range corresponds to the first five spectral bands of the Landsat images. Furthermore, we explored the big data cloud platform Google Earth Engine to detected looted areas. A supervised classification strategy was designed and performed on this cloud platform employing the Random Forest classifier. Finally, a time-stamp change detection approach was implemented. The overall findings were compared with available images from Google Earth Digital Globe and published articles and reports related to the Apamea archaeological site. It was found that the high revisit temporal resolution of the Landsat sensor was able to detect and map the looting activity in the area as a result of the spectral change in the archaeological landscape, despite its 30 m spatial resolution. At the same time, however, the analysis has provided other false-true detections in other areas in the landscape.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relationERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environmenten_US
dc.relation.ispartofJournal of Computer Applications in Archaeologyen_US
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0).en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectLootingen_US
dc.subjectLandsaten_US
dc.subjectDetectionen_US
dc.subjectGoogle Earth Engineen_US
dc.subjectApameaen_US
dc.titleDetecting Looting Activity through Earth Observation Multi-Temporal Analysis over the Archaeological Site of Apamea (Syria) during 2011–2012en_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.5334/jcaa.56en_US
dc.relation.issue1en_US
dc.relation.volume3en_US
cut.common.academicyear2019-2020en_US
dc.identifier.spage219en_US
dc.identifier.epage237en_US
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairetypearticle-
item.cerifentitytypePublications-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0001-9106-6766-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.journal.journalissn2514-8362-
crisitem.journal.publisherUbiquity Press-
crisitem.project.funderEuropean Commission-
crisitem.project.grantnoH2020-WIDESPREAD-2018-01 / WIDESPREAD-01-2018-2019 Teaming Phase 2-
crisitem.project.fundingProgramH2020 Spreading Excellence, Widening Participation, Science with and for Society-
crisitem.project.openAireinfo:eu-repo/grantAgreeent/EC/H2020/857510-
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence
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