Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/8622
DC FieldValueLanguage
dc.contributor.authorAlexakis, Dimitrios-
dc.contributor.authorHadjimitsis, Diofantos G.-
dc.contributor.authorAgapiou, Athos-
dc.date.accessioned2016-07-11T05:42:08Z-
dc.date.available2016-07-11T05:42:08Z-
dc.date.issued2013-09-
dc.identifier.citationAtmospheric Research, 2013, vol. 131, pp. 108-124en_US
dc.identifier.issn01698095-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/8622-
dc.description.abstracthe objective of this work is to develop an overall methodology for estimating erosion rate in a catchment area in Cyprus with the integrated use of satellite remote sensing (RS), Geographical Information Systems (GIS) and precipitation data. Two models were implemented in a river basin in the central part of Cyprus (Yialias River) which is generally prone to erosion processes. The first is a quantitative empirical multi-parametric model which is based both in expert's knowledge and Analytical Hierarchical Process (AHP) while the second is the Revised Universal Soil Loss Equation (RUSLE) model which is considered to be a contemporary approach in soil loss assessment. For the implementation of the two different models, high resolution GeoEye-1 satellite images were used in order to extract land cover, soil and topographical information regarding the study area. RUSLE method is based in the estimation of soil loss per unit area and takes into account specific parameters such as precipitation data, topography, soil erodibility, erosivity and runoff. The RUSLE factors were calculated in GIS environment. On the other hand AHP method contributed to the construction of a risk assessment map with the use of almost the same agents with RUSLE methodology. RUSLE and AHP approaches were compared and evaluated for their efficiency. The study indicated that using RS and GIS technologies simultaneously with precipitation data resulted to an effective and accurate assessment of soil erosion in considerable short time and low cost for large watersheds.en_US
dc.language.isoenen_US
dc.relation.ispartofAtmospheric Researchen_US
dc.rights© Elsevieren_US
dc.subjectErosionen_US
dc.subjectGISen_US
dc.subjectRemote sensingen_US
dc.subjectRUSLEen_US
dc.subjectAHPen_US
dc.subjectCyprusen_US
dc.titleIntegrated use of remote sensing, GIS and precipitation data for the assessment of soil erosion rate in the catchment area of “Yialias” in 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.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.atmosres.2013.02.013en_US
dc.dept.handle123456789/148en
dc.relation.volume131en_US
cut.common.academicyear2013-2014en_US
dc.identifier.spage108en_US
dc.identifier.epage124en_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn0169-8095-
crisitem.journal.publisherElsevier-
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.orcid0000-0002-2684-547X-
crisitem.author.orcid0000-0001-9106-6766-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
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