THE SPATIOTEMPORAL LAND USE/COVER CHANGE of ADANA CITY

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dc.authorid0000-0001-5267-9105en_US
dc.contributor.authorAkın Tanrıöver, Anıl
dc.contributor.authorErdogan, M. A.
dc.contributor.authorBerberoglu, S.
dc.date.accessioned2021-03-20T20:16:02Z
dc.date.available2021-03-20T20:16:02Z
dc.date.issued2013
dc.departmentBTÜ, Orman Fakültesi, Peyzaj Mimarlığı Bölümüen_US
dc.descriptionISPRS Conference on Serving Society with Geoinformatics (SSG) -- NOV 11-17, 2013 -- Antalya, TURKEYen_US
dc.description.abstractThe major driving factors for land use planning are largely limited to socio-economic inputs that do not completely represent the spatio-temporal patterns and ecological inputs have often been neglected. Integration of remote sensing and GIS techniques enabled successful applications in characterizing the spatiotemporal trends of land use/land cover (LULC) change. This study demonstrated an approach that combines remote sensing, landscape metrics, and LULC change analysis as a promising tool for understanding spatiotemporal patterns of Adana city. Calculation of spatial metrics was based on a categorical, patch-based representation of the landscape. Landscape metrics are conceptual framework for sustainable landscape and ecological planning. LULC change analysis was performed by considering the metric calculation. Post-classification technique was used for the metric based change detection and two different remotely sensed data set recorded in 1967 (CORONA) and 2007 (ALOS AVNIR) were used for the analysis. Additionally, a LULC projection for the year 2023 was also generated and integrated to the change analysis. SLEUTH model was utilised as a urban growth model for the future developments of study area in the scope of Cellular Automata (CA). SLEUTH model contains the main elements that characterize the core characteristics of CA: it works in a grid space of homogeneous cells, with a neighburhood of eight cells, two cell states and five transition rules that act in sequential time steps. Most useful and relevant metrics for landscape including: percentage of landscape, patch density, edge density, largest patch index, Euclidian mean nearest neighbor distance, area weighted mean patch fractal dimension and contagion were calculated for the 1967, 2007 and 2023 LULC maps and temporal changes were determined for the study area. Most considerable change was observed on the agricultural areas. Urban sprawl is the major driving factor of the LULC change.en_US
dc.description.sponsorshipInt Soc Photogrammetry & Remote Sensingen_US
dc.identifier.doi10.5194/isprsarchives-XL-7-W2-1-2013en_US
dc.identifier.endpage6en_US
dc.identifier.issn2194-9034
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1en_US
dc.identifier.urihttp://doi.org/10.5194/isprsarchives-XL-7-W2-1-2013
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1266
dc.identifier.volume40-7-W2en_US
dc.identifier.wosWOS:000358223000001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAkın Tanrıöver, Anıl
dc.language.isoenen_US
dc.publisherCopernicus Gesellschaft Mbhen_US
dc.relation.ispartofIsprs2013-Ssgen_US
dc.relation.ispartofseriesInternational Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRemote sensingen_US
dc.subjectChange detectionen_US
dc.subjectLandscape metricsen_US
dc.subjectSLEUTH modelen_US
dc.titleTHE SPATIOTEMPORAL LAND USE/COVER CHANGE of ADANA CITYen_US
dc.typeConference Objecten_US

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