Impact Assessment of Land Use Change Detection on the Environment of Ahmedabad District, Gujarat, India using Supervised Classification In GIS
Abstract
Landcover is important for examining land use patterns and helping in the prediction of future sustainable land management and environment conservation. This land use patterns shows more turbulence in urban areas where activities like the human influences and deforestation which affects the environment severely, are more frequent. This study takes up one of such area named Ahmedabad district that is situated in Gujarat, India. The land use and land cover (LULC) of Ahmedabad has changed in many ways. In this investigation, LULC variations were identified and measured using remote sensing (RS). These changes have been considered over thirty years of period. The Landsat 7 Enhanced Thematic Mapper (ETM+) and Landsat 8 Operational Land Imager (OLI) images are used as the sources. The supervised classification method using Maximum Likelihood Classification is used to classify LULC types. The study shows that area of built-up land, Fallow land, Shrub land, Water bodies increased by 1.7%,13%,0.8%,0.4% respectively and area of Cropland, Waste-land decreased by 15.6% and 0.1% respectively. The LULC changes in the study area were subjected to urbanization, population growth, social economic growth and climate change. The results clearly shows that the influence of landuse change is not in the favour of environment and vegetation. These variations were ascribed to factors such as urbanization, the population increase, social-economic expansion and environment disbalance.
Keywords
References
- AbdelRahman, M. A. (2023). An overview of land degradation, desertifcation and sustainable land management using GIS and remote sensing applications. Rendiconti Lincei.Scienze Fisiche e Naturali, 34,767-808.
- Abhilash, R. A. (2021). Climate smart agriculture: an integrated approach for attaining agricultural sustainability. In Climate Change and Resilient Food Systems. Springer, Singapore, 141-189.
- Agarwal, C. G. (2001). C.M.A Review and Assessment of Land-Use Change Models Dynamics of Space, Time, and Human Choice. Center for the Study of Institutions Population and Environmental Change Indiana University. CIPEC Collaborative Report Series No.
- Anitha Selvasofia S.D., S. S. (2021). Land Use and Land Cover Change Detection Using Gis and Remote Sensing of Coimbatore District, Tamilnadu. Turkish Journal of Computer and Mathematics Education, Vol.12 No.11, 1660-1665.
- Ankit Sikarwar, A. C. (2016). Change in land use-land cover and population dynamics: A town-level International Journal of Geomatics and Geosciences, Volume 7, No 2.
- Chemura A, R. D. (2020). The Impact of landuse/landcover changes on water balance of the heterogenous Buzi sub-catchment, Zimbabwe. Remote Sens.Appl.Soc.Environ., 100292.
- Yılmaz, C. B., Demir, V., Sevimli, M. F., Demir, F., & Yakar, M. (2021). Trend analysis of temperature and precipitation in Mediterranean region. Advanced GIS, 1(1), 15-21.
- Dazhi Mao, K. A. (2009). Impacts of land-use change on hydrologic responses in the Great Lakes region. Journal of Hydrology, 71-82.
Details
Primary Language
English
Subjects
Water Resources Engineering
Journal Section
Research Article
Authors
Publication Date
October 8, 2025
Submission Date
December 21, 2024
Acceptance Date
June 26, 2025
Published in Issue
Year 2025 Volume: 9 Number: 4
APA
Bhavsar, C., Gadhavi, M., & Shaikh, M. (2025). Impact Assessment of Land Use Change Detection on the Environment of Ahmedabad District, Gujarat, India using Supervised Classification In GIS. Turkish Journal of Engineering, 9(4), 823-830. https://doi.org/10.31127/tuje.1605134
AMA
1.Bhavsar C, Gadhavi M, Shaikh M. Impact Assessment of Land Use Change Detection on the Environment of Ahmedabad District, Gujarat, India using Supervised Classification In GIS. TUJE. 2025;9(4):823-830. doi:10.31127/tuje.1605134
Chicago
Bhavsar, Chaitali, Mahendrasinh Gadhavi, and Mohdzuned Shaikh. 2025. “Impact Assessment of Land Use Change Detection on the Environment of Ahmedabad District, Gujarat, India Using Supervised Classification In GIS”. Turkish Journal of Engineering 9 (4): 823-30. https://doi.org/10.31127/tuje.1605134.
EndNote
Bhavsar C, Gadhavi M, Shaikh M (October 1, 2025) Impact Assessment of Land Use Change Detection on the Environment of Ahmedabad District, Gujarat, India using Supervised Classification In GIS. Turkish Journal of Engineering 9 4 823–830.
IEEE
[1]C. Bhavsar, M. Gadhavi, and M. Shaikh, “Impact Assessment of Land Use Change Detection on the Environment of Ahmedabad District, Gujarat, India using Supervised Classification In GIS”, TUJE, vol. 9, no. 4, pp. 823–830, Oct. 2025, doi: 10.31127/tuje.1605134.
ISNAD
Bhavsar, Chaitali - Gadhavi, Mahendrasinh - Shaikh, Mohdzuned. “Impact Assessment of Land Use Change Detection on the Environment of Ahmedabad District, Gujarat, India Using Supervised Classification In GIS”. Turkish Journal of Engineering 9/4 (October 1, 2025): 823-830. https://doi.org/10.31127/tuje.1605134.
JAMA
1.Bhavsar C, Gadhavi M, Shaikh M. Impact Assessment of Land Use Change Detection on the Environment of Ahmedabad District, Gujarat, India using Supervised Classification In GIS. TUJE. 2025;9:823–830.
MLA
Bhavsar, Chaitali, et al. “Impact Assessment of Land Use Change Detection on the Environment of Ahmedabad District, Gujarat, India Using Supervised Classification In GIS”. Turkish Journal of Engineering, vol. 9, no. 4, Oct. 2025, pp. 823-30, doi:10.31127/tuje.1605134.
Vancouver
1.Chaitali Bhavsar, Mahendrasinh Gadhavi, Mohdzuned Shaikh. Impact Assessment of Land Use Change Detection on the Environment of Ahmedabad District, Gujarat, India using Supervised Classification In GIS. TUJE. 2025 Oct. 1;9(4):823-30. doi:10.31127/tuje.1605134
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