Measuring Land Use Change and Sprawl Using Geospatial Techniques: A Study Around Mandore, Jodhpur (Rajasthan)

International Journal of Geoinformatics and Geological Science

© 2024 by SSRG - IJGGS Journal

Volume 11 Issue 1

Year of Publication : 2024

Authors : Hemant Prakash, Nikhil Jodhawat, Vijay Athwani, Vinita Chouhan

10.14445/23939206/IJGGS-V11I1P104

How to Cite?

Hemant Prakash, Nikhil Jodhawat, Vijay Athwani, Vinita Chouhan, "Measuring Land Use Change and Sprawl Using Geospatial Techniques: A Study Around Mandore, Jodhpur (Rajasthan)," SSRG International Journal of Geoinformatics and Geological Science, vol. 11,  no. 1, pp. 28-33, 2024. Crossref, https://doi.org/10.14445/23939206/IJGGS-V11I1P104

Abstract:

The rate of urbanization in the Jodhpur district, Rajasthan, India, has been amplified by factors such as population growth, the aspiration for higher income, improved transportation facilities, and rural-to-urban migration. These dynamics have not only accelerated urban development but also added complexity to its patterns. In this paper, the technique for detecting changes in land use and land cover is an invaluable tool for comprehending the interplay between human activities and the environment. Consequently, monitoring these changes becomes crucial to track and understand the alterations taking place. The alteration of Land Use and Land Cover (LULC) has evolved as a pivotal element in contemporary approaches to natural resource management and environmental monitoring. The land use/land cover (LU/LC) change detection study over two periods highlights a substantial increase in built-up, mining, and industrial areas. It is noteworthy that there has been a significant decrease in vegetation, water bodies, and other areas during the study period attributed to rapid urbanization around the Mandore area.

Keywords:

Urbanization, LU-LC, Environment, Change Detection.

References:

[1] Chen Xiuwan, “Using Remote Sensing and GIS to Analyze Land Cover Change and its Impacts on Regional Sustainable Development,” International Journal of Remote Sensing, vol. 23, no. 1, pp. 107-124, 2002.
[CrossRef] [Google Scholar] [Publisher Link]
[2] R.V. Sheeja et al., “Land use and Land Cover Changes Over a Century (1914–2007) in the Neyyar River Basin, Kerala: A Remote Sensing and GIS Approach,” International Journal of Digital Earth, vol. 4, no. 3, pp. 258-270, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[3] William B. Meyer, and B. L. Turner, “Human Population Growth and Global Land-Use/Cover Change,” Annual Review of Ecology, Evolution and Systematics, vol. 23, no. 1, pp. 39-61, 1992.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Roberts Dar Alexander et al., Change Identification using Multitemporal Spectral Mixture Analysis: Applications in Eastern Amazonia, Remote Sensing Change Detection: Environmental Monitoring Methods and Applications, Ann Arbor Press, pp. 137-161 1998.
[Google Scholar] [Publisher Link]
[5] P.J. Sellers et al., “Remote Sensing of the Land Surface for Studies of Global Change: Models—Algorithms—Experiments,” Remote Sensing of Environment, vol. 51, no. 1, pp. 3-26, 1995.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Gordon B. Bonan, Ecological Climatology—Concepts and Applications, Cambridge University Press, pp. 1-550, 2008.
[Google Scholar] [Publisher Link]
[7] Stuart H.M. Butchart et al., “Global Biodiversity: Indicators of Recent Declines,” Science, vol. 328, no. 5982, pp.1164-1168, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Dagmar Schröter et al., “Ecosystem Service Supply and Vulnerability to Global Change in Europe,” Science, vol. 310, no. 5752, pp.1333- 1337, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[9] B.L. Turner, William B. Meyer, and David L. Skole, “Global Land use Land Cover Change: Towards an Integrated Study,” Integrating Earth System Science, vol. 23, no. 1, pp. 91-95, 1994.
[Google Scholar] [Publisher Link]
[10] James R. Anderson, “Land use and Land Cover Changes. A Framework for Monitoring,” Journal of Research by the Geological Survey, vol. 5, no. 2, pp. 143-153, 1977.
[Google Scholar] [Publisher Link]
[11] Ross F. Nelson, “Detecting Forest Canopy Change due to Insect Activity using Landsat MSS,” Photogrammetric Engineering and Remote Sensing, vol. 49, no. 9, pp. 1303-1314, 1983.
[Google Scholar] [Publisher Link]
[12] Ashbindu Singh, “Tropical Forest Monitoring using Digital Landsat data in Northeastern India,” Ph.D. Thesis, University of Reading, England, 1984.
[Google Scholar]
[13] Javad Sadidi, Parviz Zeaieanfirouzabadi, and Alireza Entezari, “The use of Radarsat and Landsat Image Fusion Algorithms and Different Supervised Classification Methods to Use Map Accuracy-Case Study Sari Plain-Iran,” 2009.
[Google Scholar]