Assessing Urban Sprawl and Agricultural Land Loss: A 40-Year Remote Sensing Study in Çanakkale
DOI:
https://doi.org/10.25034/ijcua.2025.v9n2-5Keywords:
Urban sprawl, Agricultural land loss, Remote sensing, Socio-economic change, Çanakkale urbanizationAbstract
This study investigates the spatial expansion of rapid urbanization and its pressure on agricultural and natural lands within a socio-economic framework. Covering a 40-year period from 1984 to 2024, the research focuses on the central district of Çanakkale and employs spatial analysis methods alongside regression models. Findings reveal significant losses in agricultural lands adjacent to the city center due to urbanization, coinciding with rising employment in industrial and service sectors. Land use and cover maps for multiple years were produced from remote sensing data, achieving classification accuracy above 85% and kappa coefficients exceeding 0.80, ensuring analytical reliability. Regression results indicate a strong negative correlation between employment in the service sector and agricultural land (r = -0.82, p < 0.05), highlighting the role of economic transformation in rural land use change. The study demonstrates that urbanization should be understood not only as physical growth but as a process intertwined with economic restructuring and social change. By integrating spatial transformations with socio-economic dynamics, it offers insights into balancing development with the protection of productive land. The findings contribute to contemporary debates on inclusive, resilient, and sustainable urban environments, enriching the academic literature on the socio-economic dimensions of urban transformation.
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AlQadhi, S., Mallick, J., Talukdar, S., Bindajam, A. A., Shohan, A. A. A., & Shahfahad. (2021). Quantification of urban sprawl for past-to-future in Abha City, Saudi Arabia. Comput Model Eng Sci, 129(2), 755-786. https://doi.org/10.32604/cmes.2021.016640
Antalyn, B., & Weerasinghe, V. P. A. (2020). Assessment of urban sprawl and its impacts on rural landmasses of Colombo District: a study based on remote sensing and GIS techniques. Asia-Pacific Journal of Rural Development, 30(1-2), 139-154. https://doi.org/10.1177/1018529120946245
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, 14(4), 2231-2247. https://doi.org/10.1007/s12145-021-00685-4
Basara, A. C., Tabar, M. E., Gulsun, S., & Sisman, Y. (2022). Monitoring urban sprawl in Atakum district using CORINE data. Advanced Geomatics, 2(2), 49-56.
Bose, A., & Chowdhury, I. R. (2020). Monitoring and modeling of spatio-temporal urban expansion and land-use/land-cover change using markov chain model: a case study in Siliguri Metropolitan area, West Bengal, India. Modeling Earth Systems and Environment, 6(4), 2235-2249. https://doi.org/10.1007/s40808-020-00842-6
Burges, C. J. (1998). A tutorial on support vector machines for pattern recognition. Data mining and knowledge discovery, 2(2), 121-167. https://doi.org/10.1023/A:1009715923555
Chen, G., Li, X., Liu, X., Chen, Y., Liang, X., Leng, J., ... Huang, K. (2020). Global projections of future urban land expansion under shared socioeconomic pathways. Nature communications, 11(1), 537. https://doi.org/10.1038/s41467-020-14386-x
Chettry, V. (2023). A critical review of urban sprawl studies. Journal of Geovisualization and Spatial Analysis, 7(2), 28. https://doi.org/10.1007/s41651-023-00158-w
Crist, E. P., & Cicone, R. C. (2007). A physically-based transformation of Thematic Mapper data---The TM Tasseled Cap. IEEE Transactions on Geoscience and Remote sensing, GE-22(3), 256-263. https://doi.org/10.1109/TGRS.1984.350619
Cruz-Sandoval, M., Gómez-Zaldívar, F., Peraza-Mues, G., & Ponce-López, R. (2025). The interplay of economic complexity and urban sprawl in shaping socio-spatial segregation in Mexico. Applied Geography, 181, 103690. https://doi.org/10.1016/j.apgeog.2025.103690
da Silva, V. S., Salami, G., da Silva, M. I. O., Silva, E. A., Monteiro Junior, J. J., & Alba, E. (2020). Methodological evaluation of vegetation indexes in land use and land cover (LULC) classification. Geology, Ecology, and Landscapes, 4(2), 159-169. https://doi.org/10.1080/24749508.2019.1608409
Daunt, A. B. P., Silva, T. S. F., Bürgi, M., & Hersperger, A. M. (2021). Urban expansion and forest reserves: Drivers of change and persistence on the coast of São Paulo State (Brazil). Land use policy, 101, 105189. https://doi.org/10.1016/j.landusepol.2020.105189
de Sousa, C. A. F., da Silveira, J. A. R., Santos, C. A. G., & da Silva, R. M. (2023). A methodological proposal to analyze urban sprawl, negative environmental impacts, and land degradation in the case of João Pessoa City (Brazil) between 1991 and 2018. Environmental Monitoring and Assessment, 195(6), 738. https://doi.org/10.1007/s10661-023-11325-3
Deng, F. F., & Huang, Y. (2004). Uneven land reform and urban sprawl in China: the case of Beijing. Progress in planning, 61(3), 211-236. https://doi.org/10.1016/j.progress.2003.10.004
Ewing, R. (1997). Is Los Angeles-style sprawl desirable?. Journal of the American planning association, 63(1), 107-126. https://doi.org/10.1080/01944369708975728
Festus, I. A., Omoboye, I. F., & Andrew, O. B. (2020). Urban sprawl: environmental consequence of rapid urban expansion. Malaysian Journal of Social Sciences and Humanities (MJSSH), 5(6), 110-118. https://doi.org/10.47405/mjssh.v5i6.411
Fragou, S., Kalogeropoulos, K., Stathopoulos, N., Louka, P., Srivastava, P. K., Karpouzas, S., ... P. Petropoulos, G. (2020). Quantifying land cover changes in a Mediterranean environment using landsat TM and support vector machines. Forests, 11(7), 750. https://doi.org/10.3390/f11070750
Gao, B. C. (1996). NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 58(3), 257–266. https://doi.org/10.1016/S0034-4257(96)00067-3
Genovese, D., Candiloro, S., D’Anna, A., Dettori, M., Restivo, V., Amodio, E., & Casuccio, A. (2023). Urban sprawl and health: A review of the scientific literature. Environmental Research Letters, 18(8), 083004. https://doi.org/10.1088/1748-9326/ace986
Glockmann, M., Li, Y., Lakes, T., Kropp, J. P., & Rybski, D. (2022). Quantitative evidence for leapfrogging in urban growth. Environment and Planning B: Urban Analytics and City Science, 49(1), 352-367. https://doi.org/10.1177/2399808321998713
Godoy, M. M., Martinuzzi, S., Masera, P., & Defossé, G. E. (2022). Forty years of wildland urban interface growth and its relation with wildfires in central-western Chubut, Argentina. Frontiers in Forests and Global Change, 5, 850543. https://doi.org/10.3389/ffgc.2022.850543
Google Earth. (n.d). Çanakkale, Turkey [Satellite image]. Google Earth Pro. https://earth.google.com/ (Accessed: May 6, 2025)
Gumma, M. K., Mohammad, I., Nedumaran, S., Whitbread, A., & Lagerkvist, C. J. (2017). Urban sprawl and adverse impacts on agricultural land: A case study on Hyderabad, India. Remote sensing, 9(11), 1136. https://doi.org/10.3390/rs9111136
Guo, Y., Wang, J., Ge, Y., & Zhou, C. (2024). Global expansion of wildland-urban interface intensifies human exposure to wildfire risk in the 21st century. Science Advances, 10(45), eado9587. https://doi.org/10.1126/sciadv.ado9587
Gurbuz, M., & Cilek, A. (2023). Analysis of Urban Land Use Change Using Remote Sensing and Different Change Detection Techniques: the Case of Ankara Province. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48, 515-520. https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-515-2023
Hajilou, M., Meshkini, A., Mirehei, M., & Ghaedrahmati, S. (2023). Urban sprawl: Do its financial and economic benefits outweigh its costs for local governments?. GeoJournal, 88(2), 2325-2343. https://doi.org/10.1007/s10708-022-10747-9
Halder, B., Haghbin, M., & Farooque, A. A. (2021). An assessment of urban expansion impacts on land transformation of Rajpur-Sonarpur Municipality. Knowledge-Based Engineering and Sciences, 2(3), 34-53. https://doi.org/10.51526/kbes.2021.2.3.34-53
Hantalo, A. H., & Dube, E. E. (2023). Dynamics of informal settlement expansion on the urban fringe: the case of birbir town, southern Ethiopia. Journal of Contemporary Urban Affairs, 7(1), 86-102. https://doi.org/10.25034/ijcua.2023.v7n1-6
Harvey, R. O., & Clark, W. A. (1965). The nature and economics of urban sprawl. Land Economics, 41(1), 1-9. https://doi.org/10.2307/3144884
Huete, A. R. (1988). A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25(3), 295–309. https://doi.org/10.1016/0034-4257(88)90106-X
Hussain, M., & Imitiyaz, I. (2018). Urbanization concepts, dimensions and factors. International Journal of Recent Scientific Research, 9(1), 23513-23523.
Imbrenda, V., Quaranta, G., Salvia, R., Egidi, G., Salvati, L., Prokopovà, M., ... Lanfredi, M. (2021). Land degradation and metropolitan expansion in a peri-urban environment. Geomatics, Natural Hazards and Risk, 12(1), 1797-1818. https://doi.org/10.1080/19475705.2021.1951363
Kavzoglu, T., Bilucan, F., & Teke, A. (2020, November). Comparison of support vector machines, random forest and decision tree methods for classification of Sentinel 2A image using different band combinations (Vol. 41, pp. 1–8). In 41st Asian Conference on Remote Sensing (ACRS 2020). Deqing, China.
Kaya, Z., & Dervisoglu, A. (2023). Determination of urban areas using Google Earth Engine and spectral indices; Esenyurt case study. International Journal of Environment and Geoinformatics, 10(1), 1-8. https://doi.org/10.30897/ijegeo.1214001
Khan, D., Khan, N., Choudhury, U., Singh, S. K., Kanga, S., Kumar, P., & Meraj, G. (2024). Urban expansion and spatial growth patterns in Lucknow: implications for Sustainable Development (1991–2021). Sustainability, 17(1), 227. https://doi.org/10.3390/su17010227
Kilinc, N., Yilmaz, M., & Turk, S. S. (2023). Understanding the spatial relationship between large investment decisions and plan changes: a case study of Istanbul. Journal of Urban Planning and Development, 149(4), 05023039. https://doi.org/10.1061/JUPDDM.UPENG-4489
Kraus, K., Kraus, N., & Buzhdyhan, K. (2022). Fourth industrial revolution as a driver of the digitalization of production and urbanization. VUZF review, 7(1), 177-191.
Li, G., Fang, C., Li, Y., Wang, Z., Sun, S., He, S., ... Liu, X. (2022). Global impacts of future urban expansion on terrestrial vertebrate diversity. Nature communications, 13(1), 1628. https://doi.org/10.1038/s41467-022-29324-2
Liao, P. J., Wang, P., Wang, Y. C., & Yip, C. K. (2022). Educational choice, rural–urban migration and economic development. Economic Theory, 74(1), 1-67. https://doi.org/10.1007/s00199-021-01369-2
Lovera, C. A. S. (2015). Urban sprawl and infrastructural lands: Revamping internal spaces in Santiago de Chile. Geoforum, 67(2015), 36-40. https://doi.org/10.1016/j.geoforum.2015.10.004
Lu, H., Shang, Z., Ruan, Y., & Jiang, L. (2023). Study on urban expansion and population density changes based on the inverse S-shaped function. Sustainability, 15(13), 10464. https://doi.org/10.3390/su151310464
Magidi, J., & Ahmed, F. (2019). Assessing urban sprawl using remote sensing and landscape metrics: A case study of City of Tshwane, South Africa (1984–2015). The Egyptian Journal of Remote Sensing and Space Science, 22(3), 335-346. https://doi.org/10.1016/j.ejrs.2018.07.003
Maryati, S., & Humaira, A. N. S. (2015). Increasing the infrastructure access of low-income people in peri-urban of Bandung Metropolitan Area. International Journal of Built Environment and Sustainability, 2(3), 219-226. https://doi.org/10.11113/ijbes.v2.n3.84
Mihalache, C. E., & Dumitrașcu, M. (2025). Urban Expansion and Landscape Transformation in Năvodari, Romania: An Integrated Geospatial and Socio-Economic Perspective. Land, 14(7), 1496. https://doi.org/10.3390/land14071496
Moazzam, M. F. U., Doh, Y. H., & Lee, B. G. (2022). Impact of urbanization on land surface temperature and surface urban heat Island using optical remote sensing data: A case study of Jeju Island, Republic of Korea. Building and Environment, 222(2022), 109368. https://doi.org/10.1016/j.buildenv.2022.109368
Mohammadyari, F., Zarandian, A., Mirsanjari, M. M., Suziedelyte Visockiene, J., & Tumeliene, E. (2023). Modelling impact of urban expansion on ecosystem services: a scenario-based approach in a mixed natural/urbanised landscape. Land, 12(2), 291. https://doi.org/10.3390/land12020291
Mosammam, H. M., Nia, J. T., Khani, H., Teymouri, A., & Kazemi, M. (2017). Monitoring land use change and measuring urban sprawl based on its spatial forms: The case of Qom city. The Egyptian Journal of Remote Sensing and Space Science, 20(1), 103-116. https://doi.org/10.1016/j.ejrs.2016.08.002
Nemouchi, H. (2023). Peri-Urban Pressures: The Interplay of Land Strategies and Urbanization in Algeria's Oran Metropolis. Journal of Contemporary Urban Affairs, 7(2), 1-19. https://doi.org/10.25034/ijcua.2023.v7n2-1
Obregón-Biosca, S. A., Romero-Navarrete, J. A., Mendoza-Sanchez, J. F., & Betanzo-Quezada, E. (2016). Impact of mobility induced by urban sprawl: Case study of the Querétaro metropolitan area. Journal of Urban Planning and Development, 142(2), 05015005. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000295
Oyalowo, B. (2022). Implications of urban expansion: land, planning and housing in Lagos. Buildings & Cities, 3(1), 692-708. https://doi.org/10.5334/bc.243
Özelkan, E., Sağlık, A., Sümer, S. K., Bedir, M., & Kelkit, A. (2018). Kentleşmenin tarım alanları üzerine etkisinin uzaktan algılama ile incelenmesi–Çanakkale örneği [Examination of the Effect of Urbanization on Agricultural Areas Using Remote Sensing – A Case Study in Çanakkale]. ÇOMÜ Ziraat Fakültesi Dergisi, 6(1), 123-135.
Pratama, A. P., Yudhistira, M. H., & Koomen, E. (2022). Highway expansion and urban sprawl in the Jakarta Metropolitan Area. Land use policy, 112 (2022), 105856. https://doi.org/10.1016/j.landusepol.2021.105856
Qi, J., Chehbouni, A., Huete, A. R., Kerr, Y. H., & Sorooshian, S. (1994). A modified soil adjusted vegetation index. Remote Sensing of Environment, 48(2), 119–126. https://doi.org/10.1016/0034-4257(94)90134-1
Ren, Q., He, C., Huang, Q., Zhang, D., Shi, P., & Lu, W. (2023). Impacts of global urban expansion on natural habitats undermine the 2050 vision for biodiversity. Resources, Conservation and Recycling, 190(2023), 106834. https://doi.org/10.1016/j.resconrec.2022.106834
Rizkiya, P., Haikal, N., Hasan, Z., Aulia, F., Gunawan, A., & Fuady, Z. (2023, December). The Urban Sprawl Typology and The Urban Growth Pattern of Peri-Urban Area in Aceh Besar Regency, Aceh. In IOP Conference Series: Earth and Environmental Science, 1276(1), 012041. IOP Publishing. https://doi.org/10.1088/1755-1315/1276/1/012041
Salem, M., Tsurusaki, N., & Divigalpitiya, P. (2020). Land use/land cover change detection and urban sprawl in the peri-urban area of greater Cairo since the Egyptian revolution of 2011. Journal of Land Use Science, 15(5), 592-606. https://doi.org/10.1080/1747423X.2020.1765425
Scheba, A., Turok, I., & Visagie, J. (2021). Inequality and urban density: socio-economic drivers of uneven densification in Cape Town. Environment and Urbanization ASIA, 12(1_suppl), 107-126. https://doi.org/10.1177/0975425321998026
Scott, A. J. (2017). Urbanization, work and community: The logic of city life in the contemporary world. Quality Innovation Prosperity, 21(1), 9-30. https://doi.org/10.12776/qip.v21i1.785
Singh, R. P., Singh, N., Singh, S., & Mukherjee, S. (2016). Normalized difference vegetation index (NDVI) based classification to assess the change in land use/land cover (LULC) in Lower Assam, India. International Journal of Advanced Remote Sensing and GIS, 5(10), 1963-1970. https://doi.org/10.23953/cloud.ijarsg.74
Sharma, M., Kumar, V., & Kumar, S. (2024). A systematic review of urban sprawl and land use/land cover change studies in India. Sustainable Environment, 10(1), 2331269. https://doi.org/10.1080/27658511.2024.2331269
Sheykhmousa, M., Mahdianpari, M., Ghanbari, H., Mohammadimanesh, F., Ghamisi, P., & Homayouni, S. (2020). Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 6308-6325. https://doi.org/10.1109/JSTARS.2020.3026724
Simkin, R. D., Seto, K. C., McDonald, R. I., & Jetz, W. (2022). Biodiversity impacts and conservation implications of urban land expansion projected to 2050. Proceedings of the National Academy of Sciences, 119(12), e2117297119. https://doi.org/10.1073/pnas.2117297119
Sudhira, H. S., & Ramachandra, T. V. (2007, July). Characterising urban sprawl from remote sensing data and using landscape metrics. In Proceedings of the 10th International Conference on Computers in Urban Planning and Urban Management (pp. 11–13), Iguassu Falls, PR, Brazil.
Tong, D., Chu, J., Han, Q., & Liu, X. (2022). How land finance drives urban expansion under fiscal pressure: Evidence from Chinese cities. Land, 11(2), 253. https://doi.org/10.3390/land11020253
Tu, J., Xia, Z. G., Clarke, K. C., & Frei, A. (2007). Impact of urban sprawl on water quality in eastern Massachusetts, USA. Environmental Management, 40, 183-200. https://doi.org/10.1007/s00267-006-0097-x
Turkish Statistical Institute. (n.d.). Various statistical datasets [Data file]. Available from the Turkish Statistical Institute website, https://www.tuik.gov.tr
Vapnik, V. N. (1999). An overview of statistical learning theory. IEEE transactions on neural networks, 10(5), 988-999. https://doi.org/10.1109/72.788640
Wilson, E. H., Hurd, J. D., Civco, D. L., Prisloe, M. P., & Arnold, C. (2003). Development of a geospatial model to quantify, describe and map urban growth. Remote sensing of environment, 86(3), 275-285. https://doi.org/10.1016/S0034-4257(03)00074-9
Wu, R., Li, Z., & Wang, S. (2021). The varying driving forces of urban land expansion in China: Insights from a spatial-temporal analysis. Science of The Total Environment, 766(2021), 142591. https://doi.org/10.1016/j.scitotenv.2020.142591
Yasin, M. Y., Yusof, M. M., & Noor, N. M. (2019). Urban sprawl assessment using time-series LULC and NDVI variation: a case study of Sepang, Malaysia. Applied Ecology & Environmental Research, 17(3), 5583-5602. https://doi.org/10.15666/aeer/1703_55835602
Yavuz, F. (2021). Urban sprawl: An empirical analysis for Konya Province-Turkey. A/Z ITU Journal of Faculty of Architecture, 18(1), 79-97. https://doi.org/10.5505/itujfa.2020.04834
Yuan, M., Huang, Y., Shen, H., & Li, T. (2018). Effects of urban form on haze pollution in China: Spatial regression analysis based on PM2. 5 remote sensing data. Applied geography, 98(2018), 215-223. https://doi.org/10.1016/j.apgeog.2018.07.018
Yussif, K., Dompreh, E. B., & Gasparatos, A. (2023). Sustainability of urban expansion in Africa: a systematic literature review using the Drivers–Pressures–State–Impact–Responses (DPSIR) framework. Sustainability Science, 18(3), 1459-1479. https://doi.org/10.1007/s11625-022-01260-6
Zha, Y., Gao, J., & Ni, S. (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24(3), 583–594. https://doi.org/10.1080/01431160304987
Zhang, H., Li, S., & Chang, J. (2025). Spatiotemporal Evolution and Driving Factors of Coupling Coordination Degree Between New Urbanization and Urban Resilience: A Case of Huaihai Economic Zone. ISPRS International Journal of Geo-Information, 14(7), 271. https://doi.org/10.3390/ijgi14070271
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