Remote sensing of vegetation health for reclaimed areas of Seyitomer open cast coal mine

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dc.contributor.authorErener, Arzu
dc.date.accessioned2020-03-26T18:15:56Z
dc.date.available2020-03-26T18:15:56Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractA remote sensing based vegetation cover monitoring and health assessment is presented and applied to a case study of the Seyitomer Lignite Enterprise (SLE) in Kutahya, Turkey. In this study, multi-temporal Landsat TM data sets were used to assist in identifying and monitoring the progress in the rehabilitation field. Evaluation was based on analyzing varying vegetation indices. In order to monitor and track the changes, which occurred from 1987 to 2006 in vegetation condition, Simple Ratio (SR) index, Reduced Simple Ratio (RSR), Normalized Difference Vegetation Index (NDVI) and Tasseled Cap Transformation analysis were employed in the study. The vegetation indices were mapped and evaluated. The result of these analyses showed that, the region has moderate to good reclamation success. As a result, it can be concluded that, the remotely sensed data are undoubtedly useful to provide up-to-date and quick data and are cost-effective in monitoring the progress of rehabilitation for large extended regions. (C) 2010 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.coal.2010.12.009en_US
dc.identifier.endpage26en_US
dc.identifier.issn0166-5162en_US
dc.identifier.issn1872-7840en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage20en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.coal.2010.12.009
dc.identifier.urihttps://hdl.handle.net/20.500.12395/26780
dc.identifier.volume86en_US
dc.identifier.wosWOS:000289324800004en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF COAL GEOLOGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectRemote sensingen_US
dc.subjectGeographic information systemsen_US
dc.subjectReclamationen_US
dc.subjectVegetation indexen_US
dc.subjectCoal mineen_US
dc.titleRemote sensing of vegetation health for reclaimed areas of Seyitomer open cast coal mineen_US
dc.typeArticleen_US

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