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Modeling of Temporal and Spatial Changes of Land Cover and Land Use by Artificial Neural Networks: Kastamonu Sample    
Yazarlar (2)
Öğr. Gör. Samet DOĞAN Öğr. Gör. Samet DOĞAN
Kastamonu Üniversitesi, Türkiye
Ender Buğday
Çankırı Karatekin Üniversitesi, Türkiye
Devamını Göster
Özet
Currently, it is very important to identify and use the most appropriate methods in the management of limited resources and to reach a conclusion in a short time period by using the technology in an effective manner to fastly obtain information in high quality. Remote sensing (RS) techniques are used as a very effective tool for this purpose. Obtaining information about various parameters without direct contact with the objects provides advantages in terms of both time and cost. RS technologies are used in various different disciplines. One of the most important application areas where these technologies are used is to monitor urban development by the help of the satellite images. Determination of urban land use in detail is important for decision-makers, planners, practitioners and researchers to conduct effective planning activities. In this study the change in land cover and land use between the years of 1999 and 2016 in the central district of Kastamonu was investigated; land use and exchange groups were formed. First, satellite images of the study area were classified by controlled classification method and their accuracy was calculated. The classified satellite images are used to model the probable land area, its usage and changes in 2033 by using Artificial Neural Networks (ANN) approach. According to this, changes in the field between the years of 1999 and 2016 are given as follows; 7.8% decrease for forest areas, 10.8% increase for water areas, 13.9% decrease for agricultural areas and 10.9% increase for construction areas. Based on the results, it was thought that it is a feasible and practical tool to determine the change of land cover and …
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü Ulusal alan endekslerinde (TR Dizin, ULAKBİM) yayınlanan tam makale
Dergi Adı Journal of Bartin Faculty of Forestry
Dergi ISSN 1302-0943
Dergi Tarandığı Indeksler TR DİZİN
Makale Dili İngilizce
Basım Tarihi 12-2018
Cilt No 20
Sayı 3
Sayfalar 653 / 663
Doi Numarası DOI: 10.24011/barofd.467974
Makale Linki http://dergipark.gov.tr/barofd/issue/38873/467974