Analyzing and Predicting Spatiotemporal Urban Sprawl in Eskişehir Using Remote Sensing Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s12524-022-01502-1.pdf
Reference50 articles.
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3. Ahmed, B., Kamruzzaman, M., Zhu, X., Rahman, M., & Choi, K. (2013). Simulating land cover changes and their impacts on land surface temperature in Dhaka, Bangladesh. Remote Sensing, 5(11), 5969–5998.
4. Akarçay, E., & Suğur, N. (2016). Eskişehir’de kentin ve tüketim mekânlarının dönüşümü. Ankara Üniversitesi SBF Dergisi, 71(3), 797–825.
5. Balha, A., Mallick, J., Pandey, S., Gupta, S., & Singh, C. K. (2021). A comparative analysis of different pixel and object-based classification algorithms using multi-source high spatial resolution satellite data for LULC mapping. Earth Science Informatics, 1–17.
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