The performance analyses of support vector machine classifiers for examination of the temporal change of land-use/cover in the Beyşehir Basin in Turkey (1984-2018)

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dc.contributor.authorGümüş, Münevver
dc.contributor.authorDurduran, Süleyman
dc.date.accessioned2024-11-07T13:19:36Z
dc.date.available2024-11-07T13:19:36Z
dc.date.issued2021
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThis study aimed to investigate the temporal change in land-use/cover in the Beyşehir-Kaşaklı Subbasin, which is one of thenine subbasins of the Konya Closed Basin and known as the largest closed basin in Turkey, using Remote Sensing and GeographicInformation Systems techniques. For this purpose, in the study, Landsat Thematic Mapper, Enhanced Thematic Mapper, and OperationalLand Imager digital satellite images obtained in the years 1984, 1990, 1996, 2000, 2006, 2012, and 2018 were used. The Support VectorMachines (SVM) method was applied as the classification method. In order to apply the SVM method, firstly, the kernel function andparameter set, giving the highest accuracy in the classification, were selected. In the study, four different kernel functions and differentparameter sets were experienced as different from each other. Seventy-two different models in total were applied using differentcombinations of parameters. As a result of the trials of seventy-two different parameters, it was concluded that the method and algorithmgiving the most accurate result with 83.81% classification accuracy and 0.7949 Kappa statistics were the polynomial function of SVMs.As a result of the classification process examined the period between 1984 and 2018 using the determined algorithm and parameters, itwas detected that artificial surfaces increased by 418%, arable agricultural lands and pastures decreased by 14%, forests and semi-naturalareas increased by 4%, and coastal wetlands on the coasts increased by 6%. On the other hand, the surface area of the water bodies inthe region, which demonstrated a decreasing trend until the year 2003, was determined to increase by 3% with the establishment of SuğlaStorage in 2003.
dc.identifier.doi10.9733/JGG.2021R0005.E
dc.identifier.endpage71
dc.identifier.issn2147-1339
dc.identifier.issn2667-8519
dc.identifier.issue1
dc.identifier.startpage57
dc.identifier.trdizinid441964
dc.identifier.urihttps://doi.org/10.9733/JGG.2021R0005.E
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/441964
dc.identifier.urihttps://hdl.handle.net/11480/13233
dc.identifier.volume8
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofJeodezi ve jeoinformasyon dergisi (Online)
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241107
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectGörüntüleme Bilimi ve Fotoğraf Teknolojisi
dc.subjectJeokimya ve Jeofizik
dc.subjectÇevre Bilimleri
dc.titleThe performance analyses of support vector machine classifiers for examination of the temporal change of land-use/cover in the Beyşehir Basin in Turkey (1984-2018)
dc.typeArticle

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