Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/19981
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dc.contributor.authorMilanović, Miškoen_US
dc.contributor.authorMicić, Tanjaen_US
dc.contributor.authorLukić, Tinen_US
dc.contributor.authorNenadović, Snežanaen_US
dc.contributor.authorBasarin, Biljanaen_US
dc.contributor.authorFilipović, Dejanen_US
dc.contributor.authorTomić, Milisaven_US
dc.contributor.authorSamardžić, Ivanen_US
dc.contributor.authorSrdić, Zoranen_US
dc.contributor.authorNikolić, Gojkoen_US
dc.contributor.authorNinković, Milošen_US
dc.contributor.authorSakulski, Dušanen_US
dc.contributor.authorRistanović, Brankoen_US
dc.date.accessioned2020-12-13T14:16:02Z-
dc.date.available2020-12-13T14:16:02Z-
dc.date.issued2019-
dc.identifier.issn1842-4090en_US
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/19981-
dc.description.abstract© 2019 Carpathian Journal of Earth and Environmental Sciences. This paper evaluates the application of the Normalised Difference Vegetation Index (NDVI) in the monitoring and assessment of temporal vegetation cover changes (from 2006 to 2014) in three municipalities of Central Serbia: Topola, Jagodina and Kuršumlija. Additionally, special focus is placed on the analysis of the forest areas and the possible use of NDVI in the forest management sector. Results of the NDVI applied through Idrisi software identify all vegetation cover types and their typical values for presented case studies and observed periods. Obtained results for Serbian case studies indicate two major observations outlined for the investigated period. It was noticed that vegetation cover is experiencing a certain decrease, and that certain discrepancies exists between the NDVI and official forest area statistics for certain municipalities. The study outlines the positive outcomes of the applied remote sensing techniques, especially for southern Serbian municipalities where illegal logging activities are pronounced. Hence, this method proved very promising for countries performing national forest inventories, such as Serbia, providing local forest managers with several essential up-to-date information about vegetation cover changes on an annual basis.-
dc.language.isoenen_US
dc.relation.ispartofCarpathian Journal of Earth and Environmental Sciences-
dc.sourceCRIS UNS-
dc.source.urihttp://cris.uns.ac.rs-
dc.titleApplication of landsat-derived ndvi in monitoring and assessment of vegetation cover changes in central Serbiaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.26471/cjees/2019/014/064-
dc.identifier.scopus85059912924-
dc.identifier.urlhttps://www.cris.uns.ac.rs/record.jsf?recordId=112901&source=BEOPEN&language=en-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85059912924-
dc.description.versionUnknownen_US
dc.relation.lastpage129-
dc.relation.firstpage119-
dc.relation.issue1-
dc.relation.volume14-
dc.identifier.externalcrisreference(BISIS)112901-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptPrirodno-matematički fakultet, Departman za geografiju, turizam i hotelijerstvo-
crisitem.author.deptPrirodno-matematički fakultet, Departman za geografiju, turizam i hotelijerstvo-
crisitem.author.deptPrirodno-matematički fakultet, Departman za geografiju, turizam i hotelijerstvo-
crisitem.author.orcid0000-0002-2546-3728-
crisitem.author.parentorgPrirodno-matematički fakultet-
crisitem.author.parentorgPrirodno-matematički fakultet-
crisitem.author.parentorgPrirodno-matematički fakultet-
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