Spatio-Temporal Dynamics of Land Use Change in Jaipur District: A Geospatial Approach
DOI:
https://doi.org/10.53573/rhimrj.2025.v12n1.017Keywords:
Spatio-temporal analysis, land use change, remote sensing, GIS, urbanization, Jaipur districtAbstract
Understanding the dynamics of land use change is essential for sustainable development and effective urban planning. Jaipur district has witnessed significant land use transformations over the past few decades due to rapid urbanization, population growth, economic expansion, and climatic variations. This study employs remote sensing and Geographic Information System (GIS) techniques to analyze spatio-temporal land use changes in the region, providing a comprehensive assessment of shifting land patterns and their implications. The research investigates key factors driving land use transformations, including the encroachment of urban infrastructure into agricultural and forested areas, changes in industrial land use, and the expansion of built-up areas. By utilizing multi-temporal satellite imagery and advanced GIS analytics, this study quantifies the extent and rate of land conversion, offering valuable insights into landscape dynamics. Additionally, the study evaluates the environmental consequences of urban expansion on natural ecosystems, water bodies, and agricultural productivity. The findings emphasize the critical need for sustainable land management strategies to balance urban growth with ecological conservation. The results serve as a valuable resource for urban planners, policymakers, and environmental researchers in formulating data-driven policies aimed at mitigating adverse land use impacts. This research underscores the importance of integrating geospatial technologies in monitoring and managing land use changes for long-term regional sustainability.
References
Gupta, N., Mathew, A., & Khandelwal, S. (2020). Spatio-temporal impact assessment of land use/land cover (LU-LC) change on land surface temperatures over Jaipur city in India. International Journal of Urban Sustainable Development, 12(3), 283-299.
Maurya, N. K., Rafi, S., & Shamoo, S. (2023). Land use/land cover dynamics study and prediction in jaipur city using CA markov model integrated with road network. GeoJournal, 88(1), 137-160.
Chandra, S., Sharma, D., & Dubey, S. K. (2018). Linkage of urban expansion and land surface temperature using geospatial techniques for Jaipur City, India. Arabian Journal of Geosciences, 11, 1-12.
Khare, D. E. E. P. A. K., Singh, L. A. K. H. W. I. N. D. E. R., & Jat, M. K. (2017). Impact of Landuse Change on Urban Runoff: A Case Study of Jaipur City, India. In Proceedings of the 37th IAHR World Congress.
Chandra, S., Dubey, S. K., Sharma, D., Mitra, B. K., & Dasgupta, R. (2022). Investigation of spatio–temporal changes in land use and heat stress indices over Jaipur City using Geospatial techniques. Sustainability, 14(15), 9095.
Agarwal, N., & Tiwary, A. K. (2023, February). Change Detection of Eastern Industrial Area of Jaipur City. In AIP Conference Proceedings (Vol. 2558, No. 1). AIP Publishing.
Chaudhary, A., Soni, C., Sharma, U., Joshi, N., & Sharma, C. (2022, July). Multi-temporal analysis of LST-NDBI relationship with respect to land use-land cover change for Jaipur City, India. In Congress on Intelligent Systems: Proceedings of CIS 2021, Volume 2 (pp. 299-313). Singapore: Springer Nature Singapore.
Khandelwal, S., Goyal, R., Kaul, N., & Mathew, A. (2018). Assessment of land surface temperature variation due to change in elevation of area surrounding Jaipur, India. The Egyptian Journal of Remote Sensing and Space Science, 21(1), 87-94.
Mathew, A., Sreekumar, S., Khandelwal, S., Kaul, N., & Kumar, R. (2016). Prediction of land-surface temperatures of Jaipur city using linear time series model. IEEE journal of selected topics in applied earth observations and remote sensing, 9(8), 3546-3552.
Vaishnav, K., Kanga, S., Sajan, B., Singh, S., Singh, S. K., Debnath, J., ... & Kumar, P. (2024). Assessment of dyna clue model for prediction of spatio-temporal dynamics of urbanisation and green space in Jaipur district, Rajasthan (India). Discover Cities, 1(1), 21.
Sisodia, P. S., Shekhawat, R. S., & Tiwari, V. (2018). Modelling urban sprawl using fuzzy cellular automata model for the city of Jaipur. International Journal of Society Systems Science, 10(4), 285-299.
Mathew, A., Khandelwal, S., & Kaul, N. (2017). Investigating spatial and seasonal variations of urban heat island effect over Jaipur city and its relationship with vegetation, urbanization and elevation parameters. Sustainable cities and society, 35, 157-177.
Gaur, S., & Kumar, P. GEOSPATIAL MAPPING OF URBAN SPRAWL AND MORPHOLOGICAL DYNAMICS OF JAIPUR CITY, RAJASTHAN.
