Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/18642
DC FieldValueLanguage
dc.contributor.authorAgapiou, Athos-
dc.date.accessioned2020-08-17T06:48:36Z-
dc.date.available2020-08-17T06:48:36Z-
dc.date.issued2020-07-10-
dc.identifier.citationApplied Scinces, 2020, vol. 10, no. 14, articl. no. 4764en_US
dc.identifier.issn2076-3417-
dc.identifier.urihttps://ktisis.cut.ac.cy/handle/10488/18642-
dc.descriptionThe author would like to acknowledge the “CUT Open Access Author Fund” for covering the open access publication fees of the paper.en_US
dc.description.abstractMonitoring vegetation cover is an essential parameter for assessing various natural and anthropogenic hazards that occur at the vicinity of archaeological sites and landscapes. In this study, we used free and open access to Copernicus Earth Observation datasets. In particular, the proportion of vegetation cover is estimated from the analysis of Sentinel-1 radar and Sentinel-2 optical images, upon their radiometric and geometric corrections. Here, the proportion of vegetation based on the Radar Vegetation Index and the Normalized Difference Vegetation Index is estimated. Due to the medium resolution of these datasets (10 m resolution), the crowdsourced OpenStreetMap service was used to identify fully and non-vegetated pixels. The case study is focused on the western part of Cyprus, whereas various open-air archaeological sites exist, such as the archaeological site of "Nea Paphos" and the "Tombs of the Kings". A cross-comparison of the results between the optical and the radar images is presented, as well as a comparison with ready products derived from the Sentinel Hub service such as the Sentinel-1 Synthetic Aperture Radar Urban and Sentinel-2 Scene classification data. Moreover, the proportion of vegetation cover was evaluated with Google Earth red-green-blue free high-resolution optical images, indicating that a good correlation between the RVI and NDVI can be generated only over vegetated areas. The overall findings indicate that Sentinel-1 and-2 indices can provide a similar pattern only over vegetated areas, which can be further elaborated to estimate temporal changes using integrated optical and radar Sentinel data. This study can support future investigations related to hazard analysis based on the combined use of optical and radar sensors, especially in areas with high cloud-coverage.en_US
dc.formatPDFen_US
dc.language.isoenen_US
dc.relationNAVIGATOR: Copernicus Earth Observation Big Data for Cultural Heritageen_US
dc.relationERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environmenten_US
dc.relation.ispartofApplied Sciencesen_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectVegetation proportion coveren_US
dc.subjectVegetation indicesen_US
dc.subjectSentinel-1en_US
dc.subjectSentinel-2en_US
dc.subjectOpenStreetMapen_US
dc.subjectCyprusen_US
dc.subjectArchaeological sitesen_US
dc.subjectRadar vegetation indexen_US
dc.subjectNormalized difference vegetation index;en_US
dc.subjectCrowdsourced dataen_US
dc.titleEstimating proportion of vegetation cover at the vicinity of archaeological sites using sentinel-1 and-2 data, supplemented by crowdsourced openstreetmap geodataen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationRemote Sensing and Geo-Environment Laben_US
dc.collaborationERATOSTHENES Centre of Excellenceen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.3390/app10144764en_US
dc.identifier.scopus2-s2.0-85088641843-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85088641843-
dc.relation.issue14en_US
dc.relation.volume10en_US
cut.common.academicyear2019-2020en_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.journalissn2076-3417-
crisitem.journal.publisherMDPI-
crisitem.project.funderEuropean Commission-
crisitem.project.grantnoEXCELLENCE/0918/0052-
crisitem.project.grantnoH2020-WIDESPREAD-2018-01 / WIDESPREAD-01-2018-2019 Teaming Phase 2-
crisitem.project.fundingProgramExcellence Hubs-
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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