Comparison of landscape metrics for three different level land cover/land use maps

dc.authorid0000-0002-6847-6182en_US
dc.contributor.authorAksu, Gül Aslı
dc.contributor.authorSertel, Elif
dc.contributor.authorTopaloğlu, Raziye Hale
dc.contributor.authorŞallı, Betül
dc.contributor.authorAlgan, Irmak Yay
dc.date.accessioned2019-09-19T08:00:23Z
dc.date.available2019-09-19T08:00:23Z
dc.date.issued2018en_US
dc.departmentFakülteler, Mimarlık ve Tasarım Fakültesi, Mimarlık Bölümüen_US
dc.description.abstractThis research aims to investigate how different landscape metrics are affected by the enhancement of the thematic classes in land cover/land use (LC/LU) maps. For this aim, three different LC/LU maps based on three different levels of CORINE (Coordination of Information on The Environment) nomenclature were created for the selected study area using GEOBIA (Geographic Object Based Image Analysis) techniques. First, second and third level LC/LU maps of the study area have five, thirteen and twenty-seven hierarchical thematic classes, respectively. High-resolution Spot 7 images with 1.5 m spatial resolution were used as the main Earth Observation data to create LC/LU maps. Additional geospatial data from open sources (OpenStreetMap and Wikimapia) were also integrated to the classification in order to identify some of the 2nd and 3rd level LC/LU classes. Classification procedure was initially conducted for Level 3 classes in which we developed decision trees to be used in object-based classification. Afterwards, Level 3 classes were merged to create Level 2 LC/LU map and then Level 2 classes were merged to create the Level 1 LC/LU map according to CORINE nomenclature. The accuracy of Level 1, Level 2, Level 3 maps are calculated as; 93.50%, 89.00%, 85.50% respectively. At the last stage, several landscape metrics such as Number of Patch (NP), Edge Density (ED), Largest Patch Index (LPI), Euclidean Nearest Neighbor Distance (ENN), Splitting Index (SPLIT) and Aggregation Index (AI) metrics and others were calculated for different level LC/LU maps and landscape metrics values were compared to analyze the impact of changing thematic details on landscape metrics. Our results show that, increasing the thematic detail allows landscape characteristics to be defined more precisely and ensure comprehensive assessment of cause and effect relationships between classes.en_US
dc.identifier.doi10.3390/ijgi7100408en_US
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-85056625390en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/2991
dc.identifier.urihttps://doi.org/10.3390/ijgi7100408
dc.identifier.volume7en_US
dc.identifier.wosWOS:000448549600027en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofISPRS International Journal of Geo-Informationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectObject Based Classificationen_US
dc.subjectLCLU Mapsen_US
dc.subjectSPOTen_US
dc.subjectLandscape Metricsen_US
dc.titleComparison of landscape metrics for three different level land cover/land use mapsen_US
dc.typeArticleen_US

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