Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/8601
DC FieldValueLanguage
dc.contributor.authorAgapiou, Athos-
dc.contributor.authorAlexakis, Dimitrios-
dc.contributor.authorThemistocleous, Kyriacos-
dc.contributor.authorHadjimitsis, Diofantos G.-
dc.contributor.otherΑγαπίου, Άθως-
dc.contributor.otherΑλεξάκης, Δημήτριος-
dc.contributor.otherΘεμιστοκλέους, Κυριάκος-
dc.contributor.otherΧατζημιτσής, Διόφαντος Γ.-
dc.date.accessioned2016-07-05T10:46:54Z-
dc.date.available2016-07-05T10:46:54Z-
dc.date.issued2016-04-02-
dc.identifier.citationUrban Water Journal, 2016, vol. 13, no. 3, pp. 221–231en_US
dc.identifier.issn17449006-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/8601-
dc.description.abstractWater pipelines need to be systematically monitored in order to minimize losses from possible leakages. In this paper, remote sensing techniques have been exploited in semiarid areas of Cyprus. In addition, ground spectroradiometer has been used to define the leakage’s threshold values. The data were analysed in a GIS environment. Two known leakage problems have been examined. In the first case study, a high resolution QuickBird image was used for the detection of the exact point of leakage. In the second case study a multi-temporal analysis was performed using SPOT images. This methodology was able to record 10 possible leakage points along the pipeline. Throughout the 25 km length of the pipeline, the in-situ observations were minimized to only 0.4%. In both studies the Normalised Difference Vegetation Index (NDVI) was applied. The final outcomes highlight the contribution of remote sensing to the early detection of leakages especially in difficult and near inaccessible areas.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofUrban Water Journalen_US
dc.rights© Taylor & Francisen_US
dc.subjectWater leaksen_US
dc.subjectRemote sensingen_US
dc.subjectWater managementen_US
dc.subjectWater lossesen_US
dc.subjectNDVIen_US
dc.subjectQuickBirden_US
dc.subjectSPOT 5en_US
dc.titleWater leakage detection using remote sensing, field spectroscopy and GIS in semiarid areas of Cyprusen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryEnvironmental Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.identifier.doi10.1080/1573062X.2014.975726en_US
dc.dept.handle123456789/148en
dc.relation.issue3en_US
dc.relation.volume13en_US
cut.common.academicyear2015-2016en_US
dc.identifier.spage221en_US
dc.identifier.epage231en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn1744-9006-
crisitem.journal.publisherTaylor & Francis-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
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.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0001-9106-6766-
crisitem.author.orcid0000-0003-4149-8282-
crisitem.author.orcid0000-0002-2684-547X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
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