Land cover classification with an expert system approach using Landsat ETM imagery: A case study of Trabzon

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dc.contributor.authorKahya, Oğuzhan
dc.contributor.authorBayram, Bülent
dc.contributor.authorReis, Selçuk
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T08:24:05Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T08:24:05Z
dc.date.issued2010
dc.departmentMühendislik Fakültesi
dc.descriptionPubMed ID: 19083107
dc.description.abstractThe main objective of this study is to generate a knowledge base which is composed of user-defined variables and included raster imagery, vector coverage, spatial models, external programs, and simple scalars and to develop an expert classification using Landsat 7 (ETM+) imagery for land cover classification in a part of Trabzon city. Expert systems allow for the integration of remote-sensed data with other sources of geo-referenced information such as land use data, spatial texture, and digital elevation model to obtain greater classification accuracy. Logical decision rules are used with the various datasets to assign class values for each pixel. Expert system is very suitable for the work of image interpretation as a powerful means of information integration. Landsat ETM data acquired in the year 2000 were initially classified into seven classes for land cover using a maximum likelihood decision rule. An expert system was constructed to perform post-classification sorting of the initial land cover classification using additional spatial datasets such as land use data. The overall accuracy of expert classification was 95.80%. Individual class accuracy ranged from 75% to 100% for each class. © 2008 Springer Science+Business Media B.V.
dc.identifier.doi10.1007/s10661-008-0707-6
dc.identifier.endpage438en_US
dc.identifier.issn0167-6369
dc.identifier.issue01.Apren_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage431en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10661-008-0707-6
dc.identifier.urihttps://hdl.handle.net/20.500.12451/2868
dc.identifier.volume160en_US
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.relation.ispartofEnvironmental Monitoring and Assessment
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectExpert System
dc.subjectLand Cover Classification
dc.subjectLandsat ETM+
dc.subjectTrabzon
dc.titleLand cover classification with an expert system approach using Landsat ETM imagery: A case study of Trabzon
dc.typeArticle

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