Temporal Analysis Of Lulc Dynamics In Haryana’s Hisar And Bhiwani Districts Via Remote Sensing And Random Forest Classification
DOI:
https://doi.org/10.64882/ijrt.v14.i2.1431Keywords:
LULC change, Remote Sensing, Random Forest, GIS, Hisar, Bhiwani, Haryana, Groundwater, Temporal AnalysisAbstract
This study investigates the spatio-temporal dynamics of Land Use and Land Cover (LULC) in the Hisar and Bhiwani districts of Haryana, India, between 2014 and 2024. Using satellite remote sensing data and Random Forest (RF) classification implemented in R programming, the research maps and quantifies LULC changes and correlates them with groundwater quality parameters. The analysis reveals significant shifts from agricultural to built-up and industrial land uses, driven by urbanization and economic development, alongside increasing pressure on groundwater resources. The findings provide a scientific foundation for sustainable land and water management in arid and semi-arid regions.
References
• Allafta, H., Opp, C.,and Patra, S. (2020). Identification of groundwater potential zones using remote sensing and GIS techniques: A case study of the Shatt Al-Arab Basin. Remote Sensing, 13(1), 112-118. DOI: 10.3390/rs13010112.
• Abdekareem, M., Al-Arifi, N., Abdalla, F., Mansour, A., and El-Baz, F. (2022). Fusion of remote sensing data using GIS-based AHP-weighted overlay techniques for groundwater sustainability in arid regions. Sustainability, 14(13), 7871-7874. https://doi.org/10.3390/su14137871
• Bera, A., Mukhopadhyay, B. P., & Barua, S. (2020). Delineation of groundwater potential zones in Karha river basin, Maharashtra, India, using AHP and geospatial techniques. Arabian Journal of Geosciences, 13(15), 693-699. DOI:10.1007/s12517-020-05702-2
• Chakrabortty, R., Ruidas, D., and Chowdhuri, I. (2023). Living with floods using state-of-the-art and geospatial techniques: flood mitigation alternatives, management measures, and policy recommendations. Water, 15(3), 558. https://doi.org/10.3390/w15030558
• Dey, J., and Vijay, R. (2021). A critical and intensive review on assessment of water quality parameters through geospatial techniques. Environmental Science and Pollution Research, 28(31), 41612-41626. DOI: 10.1007/s11356-021-14726-4
• Hoque, M. A. A., Pradhan, B., and Ahmed, N. (2020). Assessing drought vulnerability using geospatial techniques in northwestern part of Bangladesh. Science of the Total Environment, 4(705), 135957-13965. https://doi.org/10.1016/j.scitotenv.2019.135957
• Kolli, M. K., Opp, C., and Groll, M. (2020). Mapping of potential groundwater recharge zones in the Kolleru Lake catchment, India, by using remote sensing and GIS techniques. Natural Resources, 11(03), 127-145. DOI: 10.4236/nr.2020.113008
• Roberts, D. P., Short Jr, N. M., Sill, J., Lakshman, D. K., Hu, X., and Buser, M. (2021). Precision agriculture and geospatial techniques for sustainable disease control. Indian Phytopathology, 74(2), 287-305. https://doi.org/10.1007/s42360-021-00334-2
• Shaikh, M., and Birajdar, F. (2024). Advancements in remote sensing and GIS for sustainable groundwater monitoring: applications, challenges, and future directions. International Journal of Research in Engineering, Science and Management, 7(3), 16-24. https://doi.org/10.1007/s13201-020-01302-3
• Shelar, R. S., Nandgude, S. B., Pande, C. B., Costache, R., El-Hiti, G. A., Tolche, A. D., and Yadav, K. K. (2023). Unlocking the hidden potential: groundwater zone mapping using AHP, remote sensing and GIS techniques. Geomatics, Natural Hazards and Risk, 14(1), 1-27. DOI:10.1080/19475705.2023.2264458
• Tolche, A. D. (2021). Groundwater potential mapping using geospatial techniques: a case study of Dhungeta-Ramis sub-basin, Ethiopia. Geology, Ecology, and Landscapes, 5(1), 65-80.
https://doi.org/10.1080/24749508.2020.1728882
• Zhu, Q., and Abdelkareem, M. (2021). Mapping groundwater potential zones using a knowledge-driven approach and GIS analysis. Water, 13(5), 579. https://doi.org/10.3390/w13050579
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