Determining Land Cover and Land Use Changes Using Aster Satellite Images at Different Time Points: The Case of Arnavutköy, Istanbul
Abstract
The use of satellite systems and remote sensing (RS) technologies is rapidly growing. RS is frequently utilized for classifying land use and detecting land cover changes, with resulting thematic maps providing valuable data sources. This study investigates land cover changes in Arnavutköy, a district in northwest Istanbul, from 2000 to 2009. The results, supported by existing literature, show that Arnavutköy has experienced rapid urbanization, particularly since the early 2000s. The evaluation of land cover types in the study focused on urban areas, vegetation/forests, bare soil, and wetlands. Findings indicate a consistent increase in urban areas over the period, while agricultural lands, natural vegetation, and habitats declined. The main factors driving these changes are identified as population growth, transportation and infrastructure development, land speculation, and planning pressures.
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Ethical Statement
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References
- Atay Kaya, İ., & Kut Görgün, E. (2020). Land use and land cover change monitoring in Bandırma (Turkey) using remote sensing and geographic information systems. Environmental Monitoring and Assessment, 192, 430.
- Congalton, R. G. (1991). A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37(1), 35–46.
- Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273–297.
- Cover, T., & Hart, P. (1967). Nearest neighbor pattern classification. IEEE Transactions on Information Theory, 13(1), 21–27.
- Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., … Snyder, P. K. (2005). Global consequences of land use. Science, 309(5734), 570–574.
- Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
- Gülersoy, A. E. (2013). Farklı uzaktan algılama teknikleri kullanılarak arazi örtüsü/kullanımında meydana gelen değişimlerin incelenmesi: Manisa merkez ilçesi örneği (1986–2010). Turkish Studies, 8, 1915–1934.
- Güvercin, B., & Makineci, H. B. (2025). Suğla Gölü için 2017-2023 Yılları Arasında Multispektral PlanetScope Uydu Verileri ile Tarımsal Arazi Uygunluk Analizi (ALSA). Türkiye Fotogrametri Dergisi, 7(1), 28-36.
Details
Primary Language
English
Subjects
Geospatial Information Systems and Geospatial Data Modelling, Photogrammetry and Remote Sensing, Earth and Space Science Informatics
Journal Section
Research Article
Authors
Cansu Çelik
0009-0008-0239-8549
Türkiye
Publication Date
March 30, 2026
Submission Date
February 22, 2026
Acceptance Date
March 27, 2026
Published in Issue
Year 2026 Volume: 8 Number: 1