Araştırma Makalesi
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Yıl 2023, Cilt: 11 Sayı: 2, 237 - 252, 30.06.2023

Ekrem Bahadır Çalışkan

Öz

Kaynakça

  • [1] Z. Güneş and D. Gökçe, ‘Dağınık Planlı Kent Dışı Genç Üniversite Yerleşkelerinde Büyüme ve Gelişme: Düzce Üniversitesi Konuralp Yerleşkesi Örneği’, Düzce Üniversitesi Bilim ve Teknoloji Dergisi, vol. 10, pp. 847–861, 2022.
  • [2] Z. Kuyrukçu and A. Alkan, ‘Üniversitelerin Şehir içi Yer Seçimine Yönelik Metodolojik Bir Yaklaşım’, Yuksekogretim Dergisi, vol. 11, no. 3, pp. 649–670, 2021.
  • [3] R. Dober, Campus Design. New York: Wiley&Sons, 1992.
  • [4] P. V. Turner, Campus: An American planning tradition. Cambridge. MIT Press Series 7, 1984.
  • [5] P. Merlin, ‘The campus or back to the city? City-university spatial relationships.’, in Ciudad y universidad. Ciudades universitarias campus urbanos, Mileno, 2006.
  • [6] C. J. Sun and S. C. Chiou, ‘The comparison of campus planning development at the initial stage of school establishment: A study of the two newly instituted private universities of science and technology in Taiwan’, Sustainability (Switzerland), vol. 11, no. 6, 2019.
  • [7] D. Oktay, ‘Üniversite Kent İlişkisi’, Yapı Dergisi, no. 302, pp. 42–47, 2007.
  • [8] M. N. Türeyen, Yükseköğretim Kurumları-Kampüsler. İstanbul: Tasarım Yayın Grubu, 2002.
  • [9] ‘YÖK’, 2023. [Online]. Available: https://www.yok.gov.tr/universiteler/universitelerimiz. [Accessed: 27-Feb-2023].
  • [10] T. C. Mevzuat Bilgi Sistemi, ‘Yükseköğreti̇m Kurumlari Teşki̇lati Kanunu’. 2023.
  • [11] A. J. Lidsky, ‘A perspective on campus planning’, in New Directions for Higher Education, vol. 2002, no. 119, Wiley, 2002, pp. 69–76.
  • [12] ‘T.C. Cumhurbaşkanlığı Strateji ve Bütçe Başkanlığı’, 2023. [Online]. Available: https://www.sbb.gov.tr/. [Accessed: 06-Mar-2023].
  • [13] P. Ş. Körmeçli, ‘Üniversite Yerleşkelerinde Ulaşım Ağının Mekân Dizimi ve CBS ile Değerlendirilmesi: Çankırı Karatekin Üniversitesi Uluyazı Kampüsü Örneği’, Mimarlık Bilimleri ve Uygulamaları Dergisi, vol. 7, no. 1, pp. 248–262, 2022.
  • [14] S. Basheer et al., ‘Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques’, Remote Sensing, vol. 14, no. 19, pp. 1–18, 2022.
  • [15] L. S. Macarringue, É. L. Bolfe, and P. R. M. Pereira, ‘Developments in Land Use and Land Cover Classification Techniques in Remote Sensing: A Review’, Journal of Geographic Information System, vol. 14, no. 01, pp. 1–28, 2022.
  • [16] L. Garg, P. Shukla, S. K. Singh, V. Bajpai, and U. Yadav, ‘Land use land cover classification from satellite imagery using mUnet: A modified UNET architecture’, VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol. 4, no. Visigrapp, pp. 359–365, 2019.
  • [17] V. Nasiri, A. Deljouei, F. Moradi, S. M. M. Sadeghi, and S. A. Borz, ‘Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods’, Remote Sensing, vol. 14, no. 9, 2022.
  • [18] A. Agapiou, ‘Land cover mapping from colorized CORONA archived greyscale satellite data and feature extraction classification’, Land, vol. 10, no. 8, pp. 1–14, 2021.
  • [19] ‘Copernicus’, 2023. [Online]. Available: https://www.copernicus.eu/en. [Accessed: 10-Apr-2023].
  • [20] ‘Copernicus Land Monitoring Service’, 2023. [Online]. Available: https://land.copernicus.eu/. [Accessed: 10-Apr-2023].
  • [21] U. Erkman, Büyüme ve Gelişme Açısından Üniversite Kampüslerinde Planlama ve Tasarım Sorunları. İstanbul: İTÜ Mimarlık Fakültesi, 1990.
  • [22] B. Erçevik, ‘Üniversitelerde Sosyal Mekan Kullanımlarının İncelenmesi: Kent Üniversitesi, Kent İçi Ve Kent Dışı Kampüsler’, Yıldız Teknik University, 2008.
  • [23] O. Yerli and S. Ozdede, ‘Design Process of a Campus Plan: A Case Study of Duzce University Konuralp Campus’, Journal of Engineering Research and Application www.ijera.com, vol. 7, pp. 50–59, 2017.
  • [24] M. J. Terro, A. M. Soliman, and J. Angell, ‘Taxonomy of tertiary education campus planning’, Journal of Architecture and Urbanism, vol. 45, no. 1, pp. 19–37, 2021.
  • [25] ‘Kırklareli University’, 2023. [Online]. Available: https://www.klu.edu.tr/. [Accessed: 10-Apr-2023].
  • [26] ‘Kırşehir Ahi Evran Üniversitesi’, 2023. [Online]. Available: https://www.ahievran.edu.tr/. [Accessed: 17-Apr-2023].
  • [27] ‘Google Earth’, 2023. [Online]. Available: https://earth.google.com. [Accessed: 03-Mar-2023].
  • [28] I. A. Gumel, P. Aplin, C. G. Marston, and J. Morley, ‘Time-series satellite imagery demonstrates the progressive failure of a city master plan to control urbanization in Abuja, Nigeria’, Remote Sensing, vol. 12, no. 7, 2020.
  • [29] B. Mack, P. Leinenkugel, C. Kuenzer, and S. Dech, ‘A semi-automated approach for the generation of a new land use and land cover product for Germany based on Landsat time-series and Lucas in-situ data’, Remote Sensing Letters, vol. 8, no. 3, pp. 244–253, 2017.
  • [30] J. Gao and B. C. O’Neill, ‘Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways’, Nature Communications, vol. 11, no. 1, 2020.

Tracking the University Campus Development by Using Remote Sensing and Satellite Imagery

Yıl 2023, Cilt: 11 Sayı: 2, 237 - 252, 30.06.2023

Ekrem Bahadır Çalışkan

Öz

University campus plans and the development of facilities and surroundings due to design principles are crucial for assuring project integrity and consistency. Tracking and observing the development is challenging for the institutions' designers, controllers, and managers. Remote sensing and satellite images offer tools and techniques to identify the lands and cover by the time to analyze the spatial development patterns. This research paper analyzes the land cover and land use changes at Kırklareli University and Kırşehir Ahi Evran University between 2006-2018, which were founded and developed at the same time with similar factors. A literature survey for campus planning and design briefs of two universities are presented to state the university campuses' objectives and criteria, which are the main rulers for development. The research method utilizes remote sensing and satellite images to observe and quantify the spatial patterns and trends in land use and land cover changes. The study results indicate that both universities have significant land use changes, including converting land to built-up areas, urban expansion, and natural land degradation. The analysis also shows the imperviousness and grassland change in both regions. However, the study's success in observing the development by remote sensing data and satellite images differs due to cases. The study method and findings present a contributing framework to track the development, give feedback and record the actual situation for decision-makers and planners. Besides, the method will also be developed by conducting further analysis with the implementation of generative techniques of remote sensing and comparing them to the institutions' records.

Anahtar Kelimeler

Copernicus Project Development Track Remote Sensing University Campuses

Kaynakça

  • [1] Z. Güneş and D. Gökçe, ‘Dağınık Planlı Kent Dışı Genç Üniversite Yerleşkelerinde Büyüme ve Gelişme: Düzce Üniversitesi Konuralp Yerleşkesi Örneği’, Düzce Üniversitesi Bilim ve Teknoloji Dergisi, vol. 10, pp. 847–861, 2022.
  • [2] Z. Kuyrukçu and A. Alkan, ‘Üniversitelerin Şehir içi Yer Seçimine Yönelik Metodolojik Bir Yaklaşım’, Yuksekogretim Dergisi, vol. 11, no. 3, pp. 649–670, 2021.
  • [3] R. Dober, Campus Design. New York: Wiley&Sons, 1992.
  • [4] P. V. Turner, Campus: An American planning tradition. Cambridge. MIT Press Series 7, 1984.
  • [5] P. Merlin, ‘The campus or back to the city? City-university spatial relationships.’, in Ciudad y universidad. Ciudades universitarias campus urbanos, Mileno, 2006.
  • [6] C. J. Sun and S. C. Chiou, ‘The comparison of campus planning development at the initial stage of school establishment: A study of the two newly instituted private universities of science and technology in Taiwan’, Sustainability (Switzerland), vol. 11, no. 6, 2019.
  • [7] D. Oktay, ‘Üniversite Kent İlişkisi’, Yapı Dergisi, no. 302, pp. 42–47, 2007.
  • [8] M. N. Türeyen, Yükseköğretim Kurumları-Kampüsler. İstanbul: Tasarım Yayın Grubu, 2002.
  • [9] ‘YÖK’, 2023. [Online]. Available: https://www.yok.gov.tr/universiteler/universitelerimiz. [Accessed: 27-Feb-2023].
  • [10] T. C. Mevzuat Bilgi Sistemi, ‘Yükseköğreti̇m Kurumlari Teşki̇lati Kanunu’. 2023.
  • [11] A. J. Lidsky, ‘A perspective on campus planning’, in New Directions for Higher Education, vol. 2002, no. 119, Wiley, 2002, pp. 69–76.
  • [12] ‘T.C. Cumhurbaşkanlığı Strateji ve Bütçe Başkanlığı’, 2023. [Online]. Available: https://www.sbb.gov.tr/. [Accessed: 06-Mar-2023].
  • [13] P. Ş. Körmeçli, ‘Üniversite Yerleşkelerinde Ulaşım Ağının Mekân Dizimi ve CBS ile Değerlendirilmesi: Çankırı Karatekin Üniversitesi Uluyazı Kampüsü Örneği’, Mimarlık Bilimleri ve Uygulamaları Dergisi, vol. 7, no. 1, pp. 248–262, 2022.
  • [14] S. Basheer et al., ‘Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques’, Remote Sensing, vol. 14, no. 19, pp. 1–18, 2022.
  • [15] L. S. Macarringue, É. L. Bolfe, and P. R. M. Pereira, ‘Developments in Land Use and Land Cover Classification Techniques in Remote Sensing: A Review’, Journal of Geographic Information System, vol. 14, no. 01, pp. 1–28, 2022.
  • [16] L. Garg, P. Shukla, S. K. Singh, V. Bajpai, and U. Yadav, ‘Land use land cover classification from satellite imagery using mUnet: A modified UNET architecture’, VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol. 4, no. Visigrapp, pp. 359–365, 2019.
  • [17] V. Nasiri, A. Deljouei, F. Moradi, S. M. M. Sadeghi, and S. A. Borz, ‘Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods’, Remote Sensing, vol. 14, no. 9, 2022.
  • [18] A. Agapiou, ‘Land cover mapping from colorized CORONA archived greyscale satellite data and feature extraction classification’, Land, vol. 10, no. 8, pp. 1–14, 2021.
  • [19] ‘Copernicus’, 2023. [Online]. Available: https://www.copernicus.eu/en. [Accessed: 10-Apr-2023].
  • [20] ‘Copernicus Land Monitoring Service’, 2023. [Online]. Available: https://land.copernicus.eu/. [Accessed: 10-Apr-2023].
  • [21] U. Erkman, Büyüme ve Gelişme Açısından Üniversite Kampüslerinde Planlama ve Tasarım Sorunları. İstanbul: İTÜ Mimarlık Fakültesi, 1990.
  • [22] B. Erçevik, ‘Üniversitelerde Sosyal Mekan Kullanımlarının İncelenmesi: Kent Üniversitesi, Kent İçi Ve Kent Dışı Kampüsler’, Yıldız Teknik University, 2008.
  • [23] O. Yerli and S. Ozdede, ‘Design Process of a Campus Plan: A Case Study of Duzce University Konuralp Campus’, Journal of Engineering Research and Application www.ijera.com, vol. 7, pp. 50–59, 2017.
  • [24] M. J. Terro, A. M. Soliman, and J. Angell, ‘Taxonomy of tertiary education campus planning’, Journal of Architecture and Urbanism, vol. 45, no. 1, pp. 19–37, 2021.
  • [25] ‘Kırklareli University’, 2023. [Online]. Available: https://www.klu.edu.tr/. [Accessed: 10-Apr-2023].
  • [26] ‘Kırşehir Ahi Evran Üniversitesi’, 2023. [Online]. Available: https://www.ahievran.edu.tr/. [Accessed: 17-Apr-2023].
  • [27] ‘Google Earth’, 2023. [Online]. Available: https://earth.google.com. [Accessed: 03-Mar-2023].
  • [28] I. A. Gumel, P. Aplin, C. G. Marston, and J. Morley, ‘Time-series satellite imagery demonstrates the progressive failure of a city master plan to control urbanization in Abuja, Nigeria’, Remote Sensing, vol. 12, no. 7, 2020.
  • [29] B. Mack, P. Leinenkugel, C. Kuenzer, and S. Dech, ‘A semi-automated approach for the generation of a new land use and land cover product for Germany based on Landsat time-series and Lucas in-situ data’, Remote Sensing Letters, vol. 8, no. 3, pp. 244–253, 2017.
  • [30] J. Gao and B. C. O’Neill, ‘Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways’, Nature Communications, vol. 11, no. 1, 2020.
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mimarlık
Bölüm Mimarlık
Yazarlar

Ekrem Bahadır Çalışkan 0000-0002-5258-2976

Yayımlanma Tarihi 30 Haziran 2023
Gönderilme Tarihi 19 Nisan 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 11 Sayı: 2

Kaynak Göster

APA Çalışkan, E. B. (2023). Tracking the University Campus Development by Using Remote Sensing and Satellite Imagery. Gazi University Journal of Science Part B: Art Humanities Design and Planning, 11(2), 237-252.
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