Urban Sprawl Mapping using Multi-Sensor and Multi-Temporal Satellite Remote Sensing Data & GIS

Authors

  • Dr Kuldeep Pareta  Head (Department of RS/GIS & NRM), Spatial Decisions, New Delhi, India
  • Upasana Pareta  Lecture (Department of Mathematics), P.G. College, District Sagar, Madhya Pradesh, India

Keywords:

Urban Sprawl, Population Growth, Remote Sensing Data and GIS

Abstract

Multi-sensor and multi-temporal satellite remote sensing data and GIS have been used usually to examine and study the patterns of urban sprawl. Bina town of Sagar district, Madhya Pradesh (India), a very fast growing town of the district Sagar was selected to perform this study and to examine its urban growth. Six multi-sensors and multi-temporal satellite data from 1972 to 2014 and population censuses from 1931 to 2011 of the study area were used in this work. The aim of this study is to produce the base map and urban sprawl maps for the studies area at varied period to recognize and evaluate the substitutable relationship of urban growth and population growth. Results indicate the places having a significant increase in impervious surface are mainly along the transport network and demonstrate connective patterns of the town. It is concluded that the remote sensing and GIS techniques supplemented with census data are very efficient and effective for studying the urban sprawl.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2015-02-25

Issue

Volume 1, Issue 1, January-February-2015

Section

Research Articles

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How to Cite

[1]
Dr Kuldeep Pareta, Upasana Pareta, " Urban Sprawl Mapping using Multi-Sensor and Multi-Temporal Satellite Remote Sensing Data & GIS, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.263-271, January-February-2015.