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Integrating land-cover data with different ontologies: identifying change from inconsistency

dc.contributor.authorComber, Alexis
dc.date.accessioned2026-10-26T17:56:13Z
dc.date.issued2004-09-20
dc.description.abstractSpatially coincident land-cover information frequently varies due to technological and political variations. This is especially problematic for time-series analyses. We present an approach using expert expressions of how the semantics of different datasets relate to integrating temporal time series land-cover information where the classification classes have fundamentally changed. We use land-cover mapping in the UK (LCMGB and LCM2000) as example data sets because of the extensive object-based meta-data in the LCM2000. Inconsistencies between the two datasets can arise from random, gross and systematic error and from an actual change in land cover. Locales of possible land-cover change are inferred by comparing characterizations derived from the semantic relations and meta-data. Field visits showed errors of omission to be 21% and errors of commission to be 28%, despite the accuracy limitations of the land-cover information when compared with the field survey component of the Countryside Survey 2000.
dc.identifier.citationComber, A., Fisher, P. F., & Wadsworth, R. A. (2004). Integrating land-cover data with different ontologies: identifying change from inconsistency. International Journal of Geographical Information Systems, 18(7), 691–708. https://doi.org/10.1080/13658810410001705316
dc.identifier.doi10.1080/13658810410001705316
dc.identifier.urihttps://doi.org/10.1080/13658810410001705316
dc.identifier.urihttps://dspace.njala.edu.sl/handle/20.500.144402/1913
dc.language.isoen
dc.publisherTaylor & Francis
dc.relation.ispartofInternational Journal of Geographical Information Systems
dc.rightsCC BY
dc.subjectland cover change detection
dc.titleIntegrating land-cover data with different ontologies: identifying change from inconsistency
dc.typeArticle

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