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Urban Sprawl Monitoring using Remote Sensing and GIS Techniques of the City Jaipur, India

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  • Pushpendra Singh Sisodia

    (Manipal University Jaipur, Jaipur, India)

  • Vivekananda Tiwari

    (Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India)

  • Anil Kumar Dahiya

    (Department Computer Science and Engineering, Manipal University Jaipur, Jaipur, India)

Abstract

The rapid increase in population of India forced people to migrate from rural areas and small towns to metropolitan cities for better employment, education, and, good lifestyle. Major cities of India were industrialized and required more work force in metropolitan cities, leading to uncoordinated and unplanned growth, often termed as urban sprawl. Urban sprawl destroyed the natural resources such as open green space, agricultural land, open water bodies and ground water. In this paper, an attempt has been made to monitor urban sprawl using Shannon's Entropy model, Remote Sensing, and GIS for city Jaipur, India. The changed entropy value during the years 1972–2013 proves more dispersed growth in the city. The built-up area of Jaipur has increased from 40 km2 in 1972 to 400 km2 in 2013. Land use percentage of urban settlement is doubled as compared to the urban population of Jaipur during 1972–2013. This study shows remarkable urban sprawl in fringe areas of Jaipur city in the last 41 years.

Suggested Citation

  • Pushpendra Singh Sisodia & Vivekananda Tiwari & Anil Kumar Dahiya, 2016. "Urban Sprawl Monitoring using Remote Sensing and GIS Techniques of the City Jaipur, India," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 7(3), pages 93-104, July.
  • Handle: RePEc:igg:jagr00:v:7:y:2016:i:3:p:93-104
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    Cited by:

    1. Vishal Chettry & Meenal Surawar, 2021. "Assessment of urban sprawl characteristics in Indian cities using remote sensing: case studies of Patna, Ranchi, and Srinagar," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11913-11935, August.
    2. Milad Moradi & Mahmoud Reza Delavar & Behzad Moshiri, 2017. "A GIS-based multi-criteria analysis model for earthquake vulnerability assessment using Choquet integral and game theory," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1377-1398, July.
    3. Jean-Philippe Aurambout & Ricardo Barranco & Carlo Lavalle, 2018. "Towards a Simpler Characterization of Urban Sprawl across Urban Areas in Europe," Land, MDPI, vol. 7(1), pages 1-18, March.

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