• S.Rajalakshmi
• Dr.V.Vallinayagi

The migration of people from urban areas to low-density rural areas creating local economic growth in a community is termed as urban sprawl. The factors such as lower land rates and house tax rates, improved infrastructure, rise in population growth, development of highway roads, educational institutions, rise in living standard of the people lead the way to urban sprawl. But the urban sprawl also paves way to negative effects like increased traffic, environmental issues, and impact on social lives and increase in public expenditure. This leads to the need for proper prediction & planning of urban sprawl for betterment of society. As urban sprawl varies for each location, time period and current scenario of that place, the prediction of urban sprawl is carried out by analyzing the past growth of the city over long period of time. Satellites Landsat series are commonly used for analyzing the Land use/Land cover of the city. The prediction analytical tool is built for the target area with the results influenced by the past growth of the city. The tool is built such that it predicts the next targeted growth area and gives preparation time and idea for monitoring the urban sprawl.

GIS, Urban Sprawl Pattern, Prediction and Modeling of sprawl, Land Use, Land Cover.

"Study on urban sprawl pattern recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.253-257, February-2019, Available :http://www.jetir.org/papers/JETIRAB06045.pdf

"Study on urban sprawl pattern recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp253-257, February-2019, Available at : http://www.jetir.org/papers/JETIRAB06045.pdf