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dc.creatorJovanović, Miomir
dc.creatorMilanović, Miško
dc.creatorZorn, Matija
dc.date.accessioned2021-09-24T15:41:50Z
dc.date.available2021-09-24T15:41:50Z
dc.date.issued2018
dc.identifier.issn1581-6613
dc.identifier.urihttps://gery.gef.bg.ac.rs/handle/123456789/951
dc.description.abstractThis article evaluates the possible use of normalized difference vegetation index (NDVI) and CORINE Land Cover (CLC) databases for better forest management in the municipalities of Kursumlija and Topola in Serbia. The forest areas obtained using CLC were up to 11.5% larger than the official forest area estimates, whereas NDVI gave more precise results. Hence, NDVI can efficiently provide local forest managers with essential annual information about the forest inventory. This is of a crucial importance for preventing illegal logging, which is very prevalent in southern Serbian municipalities, which have substantial forested territory. NDVI thus very promising for Serbia and also for countries that rarely carry out national forest inventories. This method can also easily be applied to other Balkan countries with a similar situation regarding local forest management.en
dc.publisherLjubljana: Geografski inštitut Antona Melika ZRC SAZU
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/37010/RS//
dc.rightsopenAccess
dc.sourceActa Geographica Slovenica - Geografski zbornik
dc.subjectNDVIen
dc.subjectCORINE Land Coveren
dc.subjectforest managementen
dc.subjectillegal loggingen
dc.subjectSerbiaen
dc.titleThe use of NDVI and corine land cover databases for forest management in Serbiaen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractЗорн, Матија; Јовановић, Миомир; Милановић, Мишко;
dc.citation.volume58
dc.citation.issue1
dc.citation.spage109
dc.citation.epage123
dc.citation.other58(1): 109-123
dc.citation.rankM23
dc.identifier.wos000415133800009
dc.identifier.doi10.3986/AGS.818
dc.identifier.scopus2-s2.0-85030108856
dc.identifier.fulltexthttps://gery.gef.bg.ac.rs/bitstream/id/847/949.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_gery_951
dc.type.versionpublishedVersion


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