Urban Development in the Western Part of Tamil Nadu (Kongu Nadu Region), India: A Temporal Study Using Land use Land Cover Change Detection Analysis


Authors : S. Mohammed Junaid

Volume/Issue : Volume 10 - 2025, Issue 3 - March


Google Scholar : https://tinyurl.com/4m2kdcma

Scribd : https://tinyurl.com/mw2f822f

DOI : https://doi.org/10.38124/ijisrt/25mar1831

Google Scholar

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 15 to 20 days to display the article.


Abstract : Urbanization is a significant driver of environmental transformation, with profound implications for socio- economic development and ecological balance. This study examines the spatiotemporal dynamics of urban development in the Kongu Nadu region of Tamil Nadu, India, from 1985 to 2024, leveraging advanced Land Use Land Cover (LULC) change detection methodologies. Utilizing multi-source satellite imagery and geospatial techniques, the study identifies patterns of urban expansion and their cascading impacts on agriculture, forest cover, water bodies, and barren lands. Results indicate a sharp increase in urbanized areas from 1.2% in 1985 to 14.4% in 2024, paralleled by a significant reduction in croplands and water bodies, highlighting the pressures of population growth, industrialization, and infrastructural development.

Keywords : Urbanization - Land Use Land Cover - Change Detection - Remote Sensing - GIS Analysis - Sustainable Urban Planning - Environmental Impact - Kongu Nadu - Temporal Analysis - Resource Management.

References :

  1. Anand, R., Rao, P., & Karthik, S. (2021). "Healthcare and Education: Pillars of Urbanization in Tamil Nadu." Journal of Social Infrastructure, 9(1), 12-25.
  2. Das, S., Angadi, D.P. Land use land cover change detection and monitoring of urban growth using remote sensing and GIS techniques: a micro-level study. GeoJournal 87, 2101–2123 (2022). https://doi.org/10.1007/s10708-020-10359-1.
  3. Drusch, M., et al. (2012). Sentinel-2: ESA’s Optical High-Resolution Mission for GMES Operational Services. Remote Sensing of Environment, 120, 25-36.
  4. European Space Agency (ESA). (2023). Sentinel-2 User Guide.
  5. Geetha, Rajadurai, et al. "Characterization of future climate extremes over Tamil Nadu, India, using high-resolution regional climate model simulation." Theoretical and Applied Climatology 138 (2019): 1297-1309.
  6. Gopalakrishnan, M. (2019). "The Role of Agro-Industries in Urban Economic Development." South Asian Agricultural Studies, 8(2), 30-47.
  7. Government of Tamil Nadu. "Physiography of Tamil Nadu." Tamil Nadu Government Portal.
  8. Gupta, R., Sharma, P., & Singh, S. (2020). Monitoring land use and land cover changes using remote sensing and GIS: A case study of Indian states. Journal of Environmental Management, 260, 110147. https://doi.org/10.1016/j.jenvman.2020.110147
  9. Kumar, S., & Ramesh, T. (2018). Urban expansion and its impact on land use/land cover changes in Tamil Nadu using geospatial techniques. International Journal of Remote Sensing and GIS, 7(2), 15–28.
  10. Mansour, S., & Al-Belushi, M. (2020). The impact of urban sprawl on agricultural land in peri-urban Greater Cairo, Egypt. Journal of Land Use Policy, 99, 105025. Available at: https://www.tandfonline.com/doi/full/10.1080/1747423X.2020.1765425
  11. Mehra, N., Swain, J.B. Assessment of land use land cover change and its effects using artificial neural network-based cellular automation. J. Eng. Appl. Sci. 71, 70 (2024). https://doi.org/10.1186/s44147-024-00402-0.
  12. Nair, S., & Devi, R. (2020). "Geographic Factors Influencing Urban Expansion in Tamil Nadu." Environmental Planning and Development Journal, 7(3), 55-68.
  13. Patel, S., Shah, M., & Rao, A. (2019). CNN-based methodology for mapping urban land cover: A case study of Mumbai. arXiv preprint arXiv:1909.09774. Available at: https://arxiv.org/abs/1909.09774.
  14. Rahman, M. T., & Hassan, Q. K. (2021). Spatio-temporal patterns of urbanization in Pabna Municipality, Bangladesh using geospatial modeling techniques. Journal of Urban and Regional Planning. Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC8642620
  15. Rajendran, P., Kumaravel, P., & Venkatesh, S. (2023). Integrated geospatial analysis for sustainable resource management in the Kongu region. Journal of Geoscience Research, 12(3), 45–60.
  16. Rajendran, T. (2018). "Entrepreneurial Growth and Its Impact on Urbanization in Kongu Nadu." Business and Development Journal, 6(4), 40-53.
  17. Ramesh, S., & Kumar, V. (2020). "Industrial Growth and Urbanization in South India." Industrial Development Review, 12(4), 78-95.
  18. Roy, P. S., et al. "Decadal land use and land cover classifications across India, 1985, 1995, 2005." ORNL DAAC (2016).
  19. S. Ravichandran, I. K. Manonmani, "Land Use - Land Cover Change Analysis of Karur Town - A GIS Approach", International Journal of Scientific Research in Science and Technology (IJSRST), Online ISSN: 2395-602X, Print ISSN: 2395-6011, Volume 8 Issue 3, pp. 360-366, May-June 2021. Available at doi: https://doi.org/10.32628/IJSRST218373.
  20. Subramanian, K. (2018). "Connectivity and Urban Development in Tamil Nadu." Journal of Urban Studies, 15(3), 45-60.
  21. Sundar, K., & Velmurugan, R. (2022). "Migration Patterns and Urban Growth in Coimbatore and Tiruppur." Migration Studies Review, 5(2), 34-50.
  22. Tamil Nadu Government Policy Report. (2023). "Urban Infrastructure and Smart City Initiatives." Chennai: Department of Urban Development.
  23. Zhang, Y., Wang, J., & Li, X. (2023). A comprehensive review of LULC modeling techniques for sustainable urban planning. Sustainability, 15(2), 903. Available at: https://www.mdpi.com/2071-1050/15/2/903.

Urbanization is a significant driver of environmental transformation, with profound implications for socio- economic development and ecological balance. This study examines the spatiotemporal dynamics of urban development in the Kongu Nadu region of Tamil Nadu, India, from 1985 to 2024, leveraging advanced Land Use Land Cover (LULC) change detection methodologies. Utilizing multi-source satellite imagery and geospatial techniques, the study identifies patterns of urban expansion and their cascading impacts on agriculture, forest cover, water bodies, and barren lands. Results indicate a sharp increase in urbanized areas from 1.2% in 1985 to 14.4% in 2024, paralleled by a significant reduction in croplands and water bodies, highlighting the pressures of population growth, industrialization, and infrastructural development.

Keywords : Urbanization - Land Use Land Cover - Change Detection - Remote Sensing - GIS Analysis - Sustainable Urban Planning - Environmental Impact - Kongu Nadu - Temporal Analysis - Resource Management.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe