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

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dc.contributor.authorKahya, Oguzhan
dc.contributor.authorBayram, Bulent
dc.contributor.authorReis, Selcuk
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2010
dc.departmentNiğde ÖHÜ
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.
dc.identifier.doi10.1007/s10661-008-0707-6
dc.identifier.endpage438
dc.identifier.issn0167-6369
dc.identifier.issn1573-2959
dc.identifier.issue45383
dc.identifier.pmid19083107
dc.identifier.scopus2-s2.0-74349116375
dc.identifier.scopusqualityQ2
dc.identifier.startpage431
dc.identifier.urihttps://dx.doi.org/10.1007/s10661-008-0707-6
dc.identifier.urihttps://hdl.handle.net/11480/4941
dc.identifier.volume160
dc.identifier.wosWOS:000272615400036
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherSPRINGER
dc.relation.ispartofENVIRONMENTAL MONITORING AND ASSESSMENT
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectLand cover classification
dc.subjectLandsat ETM
dc.subjectTrabzon
dc.subjectExpert system
dc.titleLand cover classification with an expert system approach using Landsat ETM imagery: a case study of Trabzon
dc.typeArticle

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