dubi̇ted Duzce University Journal of Science and Technology 2148-2446 Duzce University 10.29130/dubited.1648031 Classification Algorithms Architecture (Other) Sınıflandırma algoritmaları Mimarlık (Diğer) Temporal and Spatial Analysis of Land Cover Change in Ayvacık District of Çanakkale Province Using Remote Sensing and Geographic Information System Temporal and Spatial Analysis of Land Cover Change in Ayvacık District of Çanakkale Province Using Remote Sensing and Geographic Information System https://orcid.org/0000-0001-9561-6534 Eren Berivan Çanakkale Onsekiz Mart Üniversitesi https://orcid.org/0000-0003-4956-0511 Cengiz Taşlı Tülay CANAKKALE ONSEKIZ MART UNIVERSITY 04 19 2026 14 2 364 380 02 27 2025 01 12 2026 Copyright © 2013, Duzce University Journal of Science and Technology 2013 Duzce University Journal of Science and Technology

Temporal changes occur in Land Use/Land Cover (LULC) due to natural and anthropogenic impacts. It is important to determine the changes in LULC, to monitor their effects on ecological processes, and to contribute to sustainable land management, environmental policies and planning studies. Ayvacık, which is rich in natural and cultural heritage values, where tourism activities are active in coastal areas, provides the main source of livelihood with agriculture, and is located at a critical point in terms of transportation, has been experiencing a tendency to change in recent years due to these factors. In this study, it was aimed to determine the change in Ayvacık District of Çanakkale Province between 1985-1997-2010 and 2023 in a multi-temporal manner by using Remote Sensing (RS) and Geographical Information Systems (GIS) techniques. Machine learning based Support Vector Machines (SVM) algorithm was used in the classification process through ArcGIS 10.8 programme. As a result, the temporal and spatial change of the district was determined and change matrix and change map were produced. In 38 years, a total of 44184.42 hectares of land in the study area has been changed, while 43452.45 hectares of land has maintained the same class characteristics.

Temporal changes occur in Land Use/Land Cover (LULC) due to natural and anthropogenic impacts. It is important to determine the changes in LULC, to monitor their effects on ecological processes, and to contribute to sustainable land management, environmental policies and planning studies. Ayvacık, which is rich in natural and cultural heritage values, where tourism activities are active in coastal areas, provides the main source of livelihood with agriculture, and is located at a critical point in terms of transportation, has been experiencing a tendency to change in recent years due to these factors. In this study, it was aimed to determine the change in Ayvacık District of Çanakkale Province between 1985-1997-2010 and 2023 in a multi-temporal manner by using Remote Sensing (RS) and Geographical Information Systems (GIS) techniques. Machine learning based Support Vector Machines (SVM) algorithm was used in the classification process through ArcGIS 10.8 programme. As a result, the temporal and spatial change of the district was determined and change matrix and change map were produced. In 38 years, a total of 44184.42 hectares of land in the study area has been changed, while 43452.45 hectares of land has maintained the same class characteristics.

 Land use/land cover change Remote sensing Geographic information systems (GIS) Support vector machines (SVM) Ayvacık Land Use/Land Cover Change Remote Sensing Geographic Information Systems (GIS) Support Vector Machines (SVM) Ayvacık This study was supported by the Scientific and Technological Research Council of Turkey (TÜBİTAK) with project number 123Y327 123Y327 Akacak, A. K., & Taş, İ. (2021). Calculation of spatial precipitation with different spatial interpolation methods: A case study of the North Aegean Basin. Turkish Journal of Agricultural and Natural Sciences, 8(2), 528-539. https://doi.org/10.30910/turkjans.877581 Akar, Ö., & Tunç Görmüş, E. (2019). Producing land use maps with random forest classifier and suport vector machines from Göktürk-2 and Hyperion EO-1 satellite images. Journal of Geomatic, 4(1), 68-81. https://doi.org/10.29128/geomatik.476668 Akbaş Örs, E. C. (2022). Examination of spatial and functional change on the basis of social structure: Adatepe housings [Master’s thesis, Gazi University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Akın, M., & Akın, G. (2007). Importance of water, water potentıal in Turkey, water basıns and water pollution. Ankara University Journal of the Faculty of Languages and History-Geography, 47(2), 105-118. https://izlik.org/JA49AB39JK Altürk, B. (2017). Determination of land use/land cover change and its effect on water resources: A case study of Ergene River basin [Doctoral dissertation, Namık Kemal University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Alyakut, E., & Gençer, C. İ. (2018). The impact of tourism in the protection of rural architecture: Çanakkale - Adatepe village. FSM Scholarly Studies Journal of Humanities and Social Sciences, 11, 251-262. https://doi.org/10.16947/fsmia.437779 Alyakut, E. (2018). Conservation project of Adatepe village in Ayvacik district, Canakkale province [Doctoral dissertation, Yıldız Teknik University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Ayalke, Z. G., & Şişman, A. (2024). Machine learning-based improved land cover classification using Google Earth Engine: Case of Atakum, Samsun. Geomatik, 9(3), 375–390. https://doi.org/10.29128/geomatik.1472160 Aydın, F. (2016). Remote sensing and geographic information systems-based evaluation of current and future forest biodiversity under deforestation-based landuse change: The case study for Bornova, İzmir. Aegean Geographical Journal, 25(2), 16-34. https://izlik.org/JA89AC54BR Bao Pham, Q., Ali, S. A., Parvin, F. On, V. V., Sidek, L. M., Đurin, B., Cetl, V., Šamanović, S., & Minh, N. N. (2024). Multi-spectral remote sensing and GIS-based analysis for decadal land use land cover changes and future prediction using random forest tree and artificial neural network. Advances in Space Research, 74(1), 17-47. https://doi.org/10.1016/j.asr.2024.03.027 Berberoğlu, S., Polat, S., İbrikçi, H., Dönmez, C., Şatır, O., Tanrıöver, A. A., Gültekin, U., Kapur, B., Erdoğan, M. A., Erdoğan, N., Çilek, A., Volk, M., Barutçu, F., & Tepeli, E. (2019). Seyhan havzası su yönetimi için konumsal bilgi teknolojileri tabanlı karar destek sistemi oluşturulması. (Project No. 115Y063). The Scientific and Technological Research Council of Türkiye (TÜBİTAK). https://search.trdizin.gov.tr/en/yayin/detay/621648/seyhan-havzasi-su-yonetimi-icin-konumsal-bilgiteknolojileri-tabanli-karar-destek-sistemi-olusturulmasi Boateng, E. Y., Otoo, J., & Abaye, D. A. (2020). Basic tenets of classification algorithms k-nearest neighbor, support vector machine, random forest and neural network: a review. Journal of Data Analysis and Information Processing, 8(4), 341-357. https://doi.org/10.4236/jdaip.2020.84020 Ciais, P., Sabine, C., Bala, G., Bopp, L., Brovkin, V., Canadell, J., Chhabra, A., DeFries, R., Galloway, J., Heimann, M., Jones, C., Le Quéré, C., Myneni, R. B., Piao, S., & Thornton, P. (2013). Carbon and other biogeochemical cycles. In T. F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, & P. M. Midgley (Eds.), Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 465-570). Cambridge University Press. Çanakkale Governorship. (2024). Ayvacık. https://www.canakkale.gov.tr/ayvacik Çınar, İ., Ardahanlıoğlu, Z. R., & Toy, S. (2024). Land use/land cover changes in a mediterranean summer tourism destination in Turkey. Sustainability, 16(4), Article 1480. https://doi.org/10.3390/su16041480 Çiçek, S. (2010). Çanakkale province Ayvacık zones carpet and rugs [Master’s thesis, Trakya University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=V0RoemBR10OJq-kwS2g59g&no=x91jY_yBSEVJgmbaM_4MTQ Çiftçisertbaşı, B. (2022). Spatial changes caused by increasing ecotourism in coast areas and its hinterland: The case of Ayvacık [Master’s thesis, Mimar Sinan Fine Arts University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Dadras, M., Shafri, H. Z. M., Ahmad, N., Pradhan, B., & Safarpour, S. (2015). Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran. The Egyptian Journal of Remote Sensing and Space Science, 18 (1), 35-52. https://doi.org/10.1016/j.ejrs.2015.03.005 Doygun, N. (2012). Determining interactions between land use change and land use potential in Bornova district [Doctoral dissertation, Ege University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Eastman, J. R., Van Fossen, M. E., & Solarzano, L. A. (2005). Transition potential modeling for land cover change. In D. J. Maguire, M. Batty, & M. F. Goodchild (Eds.), GIS, spatial analysis, and modeling, (pp. 357-385). Efe, E., & Algancı, U. (2023). Determination of land cover change with multi-temporal Sentinel 2 satellite images and machine learning-based algorithms. Geomatik, 8(1), 27-34. https://doi.org/10.29128/geomatik.1092838 Eren, B. (2025). Modeling of land use/land cover change: simulation of Çanakkale province Ayvacık district [Doctoral dissertation, Çanakkale Onsekiz Mart University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Food and Agriculture Organization of the United Nations (FAO). (2000). Land cover classification system: Classification concepts and user manual. Food and Agriculture Organization of the United Nations. https://openknowledge.fao.org/server/api/core/bitstreams/843240ad-c873-4529-90a7-c1437d51e0da/content/x0596e.htm Gaur, S., & Singh, R. (2023). A comprehensive review on land use/land cover (LULC) change modeling for urban development: Current status and future prospects. Sustainability, 15(2), Article 903. https://doi.org/10.3390/su15020903 Gerim, V., & Erener, A. (2018). Building detection performance evaluation orthophoto images supported by LIDAR Data: Istanbul, Küçükçekmece case. Kocaeli Üniversitesi Fen Bilimleri Dergisi, 1(2), 53–61. https://izlik.org/JA43MW82MP Gomal, A., Imtiaz, I., Haroon, E., Saqib, N. U., Shahzad, M. I., & Nazeer, M. (2024). Assessment of machine learning algorithms for land cover classification in a complex mountainous landscape. Journal of Geovisualization and Spatial Analysis, 8, Article 34. https://doi.org/10.1007/s41651-024-00195-z Gupta, P., Shukla, A. K., & Shukla, D. P. (2024). ML-based hybrid SAR and optical image LULC mapping and change analysis with variations in the air quality of the Imphal Valley, north-east India. Earth and Space Science, 11(3), Article e2023EA003176. https://doi.org/10.1029/2023EA003176 Halder, S., Das, S., & Basu, S. (2023). Use of support vector machine and cellular automata methods to evaluate impact of irrigation project on LULC. Environmental Monitoring and Assessment, 195(3). https://doi.org/10.1007/s10661-022-10588-6 Işık, H. (2021). Buyuk Menderes Basin change analysis with Ca (cellular automata) Markov model [Master’s thesis, Çukurova University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Kadavi, P. R., & Lee, C. W. (2018). Land cover classification analysis of volcanic island in Aleutian Arc using an artificial neural network (ANN) and a support vector machine (SVM) from landsat imagery. Geosciences Journal, 22(4), 653-665. https://doi.org/10.1007/s12303-018-0023-2 Karatepe Çetinkaya, İ. (2018). Coastal planning and landscape character analysis; case of Ayvacik - Çanakkale [Master’s thesis, Çanakkale Onsekiz Mart University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Kaswiest, N. (2021). Agricultural land-use change modelling for land-use planning in Thailand [Doctoral dissertation, University of East Anglia]. https://ueaeprints.uea.ac.uk/id/eprint/83637/1/2021KaswisetNPhD.pdf Keleş, E. (2022). Landscape character analysis evaluation and landscape management of Edirne Tunca River basin [Doctoral dissertation, Düzce University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Küçükkuyu Municipality. (2024). Küçükkuyu Municipality 2023 activity report. https://www.kucukkuyu.bel.tr/wp-content/uploads/2024/04/faaliyet-rapor-2023.pdf Levent, Y. S., Şahin, E., & Levent, T. (2024). The role of tourism planning in land-use/land-cover changes in the Kızkalesi tourism destination. Land, 13(2), Article 151. https://doi.org/10.3390/land13020151 Malkoç, E. (2017). Modelling forest cover change within the context of climate change mitigation strategy, in Bozdağlar [Doctoral dissertation, Ege University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Mammadov, R., Rasuly, A. A., Mobasher, H., & Mohamadzadeh, K. (2019). Applying an object-based classıfıcatıon approach through a cellular automata-markov method in landcover/landuse change detectıon procedure "case of the Urmia Lake”. Konya Journal of Engineering Sciences, 7(3), 536- 550. https://doi.org/10.36306/konjes.612489 Mete, M. O. (2022). Development of mass property valuation model based on geographic information systems integrated machine learning methods [Doctoral dissertation, İstanbul Technical University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Mohamed, A., & Worku, H. (2020). Simulating urban land use and cover dynamics using cellular automata and Markov chain approach in Addis Ababa and the surrounding. Urban Climate, 31, Article 100545. https://doi.org/10.1016/J.UCLIM.2019.100545 Motlagh, K. Z., Lotfi, A., Pourmanafi, S., Ahmadizadeh, S., & Soffianian, A. (2020). Spatial modeling of land-use change in a rapidly urbanizing landscape in central Iran: Integration of remote sensing, CA-Markov, and landscape metrics. Environmental Monitoring and Assessment, 192, Article 695. https://doi.org/10.1007/s10661-020-08647-x Msofe, N. K., Sheng, L., & Lyimo, J. (2019). Land use change trends and their driving forces in the Kilombero Valley Floodplain, southeastern Tanzania. Sustainability, 11(2), Article 505. https://doi.org/10.3390/su11020505 Nişancı, G. Ş., Cihangir, M. E., & Küçükönder, M. (2024). The evaluation of the relationship between morphometric indices and floods/flash floods at the scale of main river basins in Turkey. Eastern Geographical Review, 29(51), 13-40. https://doi.org/10.17295/ataunidcd.1461010 Nurlu, E., Erdem, Ü., Doygun, H., & Oğuz, H. (2013). Entegre değerlendirme yöntemleri kullanılarak İzmir kenti için sürdürülebilir alan kullanım önerileri geliştirilmesi (Project No. 109Y210). The Scientific and Technological Research Council of Türkiye-TÜBİTAK. https://search.trdizin.gov.tr/en/yayin/detay/612420/entegre-degerlendirme-yontemleri-kullanilarak-izmir-kenti-icin-surdurulebilir-alan-kullanim-onerileri-gelistirilmesi Oğuz, D. (2020). Peyzaj desen süreç etkileşiminin modellenmesi ve Ankara kenti için sürdürülebilir arazi kullanım stratejilerinin geliştirilmesi (Project No. 217K323). The Scientific and Technological Research Council of Türkiye-TÜBİTAK. https://search.trdizin.gov.tr/tr/yayin/detay/621566/peyzaj-desen-surec-etkilesiminin-modellenmesi-ve-ankara-kenti-icin-surdurulebilir-arazi-kullanim-stratejilerinin-gelistirilmesi Özcan, A. (2020). The investigation on the napkins of Çanakkale Ayvacik. The Journal of Social Science, 4(7), 34-48. https://doi.org/10.30520/tjsosci.655449 Özer, M. (2020). Olive agriculture in Ayvacik district (Çanakkale) [Master’s thesis, Atatürk University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Polat, H. (2022). Detection of schizophrenia from EEG signals by permutation entropy-based complexity analysis. Journal of the Institute of Science and Technology, 12(4), 2085-2096. https://doi.org/10.21597/jist.1122315 Ramachandra, T. V., Mondal, T., & Setturu, B. (2023). Relative performance evaluation of machine learning algorithms for land use classification using multispectral moderate resolution data. SN Applied Sciences, 5, Article 274. https://doi.org/10.1007/s42452-023-05496-4 Saranya, G., Gopinath, N., Geetha, G., Meenakshi, K., & Nithya, M. (2020). Prediction of customer purchase intention using linear support vector machine in digital marketing. Journal of Physics: Conference Series, 1712, Article 012024. https://doi.org/10.1088/1742-6596/1712/1/012024 Şengün, E. (2022). Investigation of the effect of land cover/ land use change on surface temperature using landsat satellite imagery assistance and Google earth engine platform [Master’s thesis, İstanbul Technical University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp T.C. Tarım ve Orman Bakanlığı. (2019). Kuzey Ege nehir havzası yönetim planı hazırlığı: Kapsamlaştırma raporu. https://www.tarimorman.gov.tr/SYGM/Belgeler/Kuzey%20Ege%20NHYP%20Kapsamla%C5%9Ft%C4%B1rma%20Raporu.pdf Türkiye İstatistik Kurumu. (2024). The Results of Address Based Population Registration System, 2024. https://veriportali.tuik.gov.tr/en/press/53783 Tükenmez, Ö. (2019). Natural disaster resilience in Turkey: 6 february 2017 Ayvacik-Gülpinar earthquake case study [Master’s thesis, Çanakkale Onsekiz Mart University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp United States Geological Survey (USGS). (2023). What are the band designations of Landsat satellites? https://www.usgs.gov/faqs/what-are-band-designations-landsat-satellites Verburg, P. H., Erb, K. H., Mertz, O., & Espindola, G. (2013). Land system science: Between global challenges and local realities. Current Opinion in Environmental Sustainability, 5(5), 433-437. https://doi.org/10.1016/j.cosust.2013.08.001 Virtriana, R., Deanova, M. A., Safitri, S., Anggraini, T. S., Ihsan, K. T. N., Deliar, A., & Riqq, A. (2024). Identification of land cover change and spatial distribution based on topographic variations in Java Island. Ecological Frontiers, 44(1), 129-142. https://doi.org/10.1016/j.chnaes.2023.08.002 Yıldız Görentaş, S., & Sargın, S. (2021). Spatial impacts of urban growth on the Mersin, Tarsus, and Adana lines. Journal of Geography, 43, 127-142. https://doi.org/10.26650/JGEOG2021-936379 Yıldız Görentaş, S. (2021). Spatial structure of urbanization on the Mersin, Tarsus, and Adana lines and predicting future land use scenarios by Markov Chain [Doctoral dissertation, Marmara University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Yiğit, A. Y., & Uysal, M. (2021). Detection of highways from high-resolution unmanned aerial vehicle (UAV) images. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 10(3), 1040–1054. https://doi.org/10.17798/bitlisfen.900817 Yu, Z., Di, L., Yang, R., Tang, J., Lin, L., Zhang, C., Rahman, M. S., Zhao, H., Gaigalas, J., Yu, E. G., & Sun, Z. (2019, July 16-19). Selection of Landsat 8 OLI band combinations for land use and land cover classification. In 8th International Conference on Agro-Geoinformatics (pp. 1-5). İstanbul, Turkey. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820595 Yüksel, O., & Ekinci, H. (2008). Ayvacık ilçesi arazi kaynaklarının değerlendirilmesi. In Ayvacık Değerleri Sempozyumu (Publication No. 87). Çanakkale Onsekiz Mart University. Zadbagher, E. (2023). Investigating the vertical tropical forest structure using digital elevation models and machine learning methods [Doctoral dissertation, Zonguldak Bülent Ecevit University]. YÖK National Thesis Center. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Zhou, K., Zhang, Y., & Jia, X. (2018). Co-cultivation of fungal-microalgal strains in biogas slurry and biogas purification under different initial CO2 concentrations. Scientific Reports, 8, Article 7786. https://doi.org/10.1038/s41598-018-26141-w