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)
Küçük Resim Yok
Tarih
2021
Yazarlar
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Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This 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.
Açıklama
Anahtar Kelimeler
Bilgisayar Bilimleri, Yazılım Mühendisliği, Görüntüleme Bilimi ve Fotoğraf Teknolojisi, Jeokimya ve Jeofizik, Çevre Bilimleri
Kaynak
Jeodezi ve jeoinformasyon dergisi (Online)
WoS Q Değeri
Scopus Q Değeri
Cilt
8
Sayı
1
