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Prediction of Urban Sprawl Using Remote Sensing, GIS and Multilayer Perceptron for the City Jaipur

  • Pushpendra Singh Sisodia
  • Vivekanand Tiwari
  • Anil Kumar Dahiya
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 384)

Abstract

The population of India has rapidly increased from 68.33 million to 121.01 million from 1981 to 2011, respectively. It is estimated that by the year 2028 India will hold the largest population of the world. The prompt upsurge of the Indian population will force people to migrate from the rural area to the mega cities, to avail basic amenities. The enormous migration will increase the demand for more space to live in mega cities and will lead to a situation of unauthorized, unplanned, uncoordinated, and uncontrolled growth, and this condition called as urban sprawl. The key challenge for a planner is to achieve sustainable development and to predict the future urban sprawl in the city. Unfortunately, conventional techniques that predict urban sprawl are expensive and time consuming. In this paper, we have proposed a novel technique to predict the future urban sprawl. We have used an integrated approach of Remote Sensing, GIS, and Multilayer perceptron to predict the future urban sprawl for the city Jaipur up to 2021. We have compared our results with existing techniques like Linear Regression and Gaussian Process and found that the Multilayer perceptron gives better results than other existing techniques.

Keywords

Remote sensing GIS MLP Urban sprawl 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Pushpendra Singh Sisodia
    • 1
  • Vivekanand Tiwari
    • 1
  • Anil Kumar Dahiya
    • 1
  1. 1.Manipal University JaipurJaipurIndia

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