Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23122
DC FieldValueLanguage
dc.contributor.authorMelillos, George-
dc.contributor.authorHadjimitsis, Diofantos G.-
dc.date.accessioned2021-09-27T10:41:10Z-
dc.date.available2021-09-27T10:41:10Z-
dc.date.issued2020-10-
dc.identifier.citationIEEE International Geoscience & Remote Sensing Symposium, 2020, 26 September – 2 Octoberen_US
dc.identifier.isbn9781728163741-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23122-
dc.description.abstractThis paper aims to explore the integration of field spectroscopy and satellite remote sensing approaches to detect underground structures in Cyprus. An SVC-HR1024 field spectroradiometer was used and in-band reflectances were determined for high resolution Landsat 8 satellite sensor. In this study, three test areas were identified, analyzed and modelled: Area (a) which is a Vegetation Area covered with vegetation (barley), in the presence of an underground military structure, Area (b) which is a Vegetation Area covered with vegetation (barley), in the absence of an underground military structure and Area (c) with the existing natural soil, in the presence of an underground military structure. Also measurements are taken in order to study possible differences of the spectral signature of vegetation as a result of the existence underground structures and non - existence underground structures.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© IEEEen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRemote sensingen_US
dc.subjectField spectroscopyen_US
dc.subjectUnderground structuresen_US
dc.subjectLandsat 8en_US
dc.titleDetection Underground Structures in Cyprus Using Landsat-8 Bandsen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryCivil Engineeringen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceIEEE International Geoscience and Remote Sensing Symposiumen_US
dc.identifier.doi10.1109/IGARSS39084.2020.9323447en_US
dc.identifier.scopus2-s2.0-85101985046-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85101985046-
cut.common.academicyear2020-2021en_US
item.openairetypeconferenceObject-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.cerifentitytypePublications-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-8292-1836-
crisitem.author.orcid0000-0002-2684-547X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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