Modeling of Temporal and Spatial Changes of Land Cover and Land Use by Artificial Neural Networks: Kastamonu Sample
Yazarlar (2)
Öğr. Gör. Samet DOĞAN Kastamonu Üniversitesi, Türkiye
Prof. Dr. Ender Buğday Çankırı Karatekin Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(Diğer hakemli uluslarası dergilerde yayınlanan tam makale)
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| 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 / Sayı / Sayfa | 20 / 3 / 653–663 | DOI | 10.24011/barofd.467974 |
| Makale Linki | http://dergipark.gov.tr/barofd/issue/38873/467974 | ||
| UAK Araştırma Alanları |
Uzaktan Algılama
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| Özet |
| Currently, it is very important to identify anduse the most appropriate methods in the management of limited resources and toreach a conclusion in a short time period by using the technology in aneffective manner to fastly obtain information in high quality. Remote sensing (RS)techniques are used as a very effective tool for this purpose. Obtaininginformation about various parameters without direct contact with the objectsprovides advantages in terms of both time and cost. RS technologies are used invarious different disciplines. One of the most important application areaswhere these technologies are used is to monitor urban development by the helpof the satellite images. Determination of urban land use in detail is importantfor decision-makers, planners, practitioners and researchers to conducteffective planning activities. In this study the change in land cover and landuse between the years of 1999 and 2016 in the central district of Kastamonu wasinvestigated; land use and exchange groups were formed. First, satellite imagesof the study area were classified by controlled classification method and theiraccuracy was calculated. The classified satellite images are used to model theprobable land area, its usage and changes in 2033 by using Artificial NeuralNetworks (ANN) approach. According to this, changes in the field between theyears 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 itis a feasible and practical tool to determine the change of land cover and landuse to … |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 17 |