LAND USE/COVER CHANGE MODELLING IN A MEDITERRANEAN RURAL LANDSCAPE USING MULTI-LAYER PERCEPTRON AND MARKOV CHAIN (MLP-MC)

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dc.authorid0000-0002-8610-6169en_US
dc.contributor.authorErsoy Mirici, Merve
dc.contributor.authorBerberoglu, S.
dc.contributor.authorAkın Tanrıöver, Anıl
dc.contributor.authorSatir, O.
dc.date.accessioned2021-03-20T20:13:33Z
dc.date.available2021-03-20T20:13:33Z
dc.date.issued2018
dc.departmentBTÜ, Orman Fakültesi, Peyzaj Mimarlığı Bölümüen_US
dc.description.abstractMediterranean land use and land cover (LULC) have a very dynamic structure as a result of continuous transformation process due to anthropogenic effects and environmental gradients. LULC dynamics are important indicator of environmental condition in temporal and spatial scales. The aim of this paper was to simulate the future LULC of a Mediterranean type watershed located at the Eastern Mediterranean Region of Turkey by incorporating multi-layer perceptron (MLP), artificial neural network (ANN) and Markov chain (MC) approaches. Landsat TM/OLI images in 1990, 2003 and 2014 over the study area were classified using hybrid classification approach. The Kappa statistics of the hybrid classification that combines K-means, decision tree and object based classification method for these three images were 0.81, 0.85 and 0.87 respectively. The LULC map of 2014 was simulated using LULC maps of 1990 and 2003 for calibration and validation. The simulation results were compared with the actual 2014 LULC map to assess the accuracy of the simulation, and the rate of overlap was found as 89%. LULC map of 2025 was estimated using LULC maps of 2003 and 2014. These results indicated that, the area of bareground will reduce 13.31% whereas the rate of forest and agricultural area will increase 8.70% and 6.51% respectively.en_US
dc.identifier.doi10.15666/aeer/1601_467486en_US
dc.identifier.endpage486en_US
dc.identifier.issn1589-1623
dc.identifier.issn1785-0037
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage467en_US
dc.identifier.urihttp://doi.org/10.15666/aeer/1601_467486
dc.identifier.urihttps://hdl.handle.net/20.500.12885/893
dc.identifier.volume16en_US
dc.identifier.wosWOS:000424382600030en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorErsoy Mirici, Merve
dc.language.isoenen_US
dc.publisherCorvinus Univ Budapesten_US
dc.relation.ispartofApplied Ecology And Environmental Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectland use/land cover (LULC)en_US
dc.subjecthybrid classificationen_US
dc.subjectchange detectionen_US
dc.subjectmulti-layer perceptron (MLP)en_US
dc.subjectMarkov chainen_US
dc.subjectfuture predictionen_US
dc.titleLAND USE/COVER CHANGE MODELLING IN A MEDITERRANEAN RURAL LANDSCAPE USING MULTI-LAYER PERCEPTRON AND MARKOV CHAIN (MLP-MC)en_US
dc.typeArticleen_US

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