Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/4479
DC FieldValueLanguage
dc.contributor.authorPapadavid, George-
dc.contributor.authorThemistocleous, Kyriacos-
dc.contributor.authorHadjimitsis, Diofantos G.-
dc.date.accessioned2012-11-26T11:47:21Zen
dc.date.accessioned2013-05-17T10:30:53Z-
dc.date.accessioned2015-12-09T13:51:53Z-
dc.date.available2012-11-26T11:47:21Zen
dc.date.available2013-05-17T10:30:53Z-
dc.date.available2015-12-09T13:51:53Z-
dc.date.issued2008-10-02-
dc.identifier.citationProceedings of SPIE - The international society for optical engineering, 2008, vol. 7104, article number 71040Ien_US
dc.identifier.issn0277786X-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/4479-
dc.description.abstractThe monitoring of agricultural areas in Cyprus provides important data for efficient water supply plans and for avoiding unnecessary water lost due to inefficient irrigation. In this context, satellite remote sensing techniques may be useful as an efficient tool for monitoring agricultural areas. The objective of this study is to present the overall methodology for monitoring agricultural areas and estimating the irrigation demand in Cyprus using satellite remote sensing, irrigation models and other auxiliary data. Field spectro-radiometric measurements using SVC-HR 1024 and GER 1500 were undertaken to determine the spectral signature of different types of crops so as to assist our classification techniques. Final crop maps using Landsat TM and ETM+ can be produced and the optimal amount of irrigation demand required for certain types of crops can be determined in order to avoid any non-effective water management. This paper presents the overall methodology of the proposed research study designed to enable the implementation of an integrated approach by combining satellite remote sensing, irrigation models, micro-sensor technology and in-situ spectroradiometric measurements to determine the irrigation demand and finally to validate our resultsen_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of SPIE - The international society for optical engineeringen_US
dc.rights© SPIEen_US
dc.subjectIrrigationen_US
dc.subjectHydrologyen_US
dc.subjectMathematical modelsen_US
dc.subjectRemote sensingen_US
dc.subjectSatellitesen_US
dc.subjectWater--Managementen_US
dc.titleEstimating irrigation demand using satellite remote sensing : a case study of Paphos district area in Cyprusen_US
dc.typeArticleen_US
dc.collaborationNational Agricultural Research Foundationen_US
dc.collaborationSignalGeneriX Ltden_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsSubscriptionen_US
dc.reviewpeer reviewed-
dc.countryCyprusen_US
dc.countryGreeceen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1117/12.800366en_US
dc.dept.handle123456789/148en
dc.relation.volume7104en_US
cut.common.academicyear2007-2008en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
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.orcid0000-0002-6102-1732-
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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