Spatio-Temporal Urban Sprawl Analysis and Evaluation Using Gis for Lucknow City
M.B. Sridhar1, R. Sathyanathan2, Shalu Ann Shaji3

1Shalu Ann Shaji, Post Graduate Student, Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
2M.B. Sridhar, Assistant professor, Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
3R. Sathyanathan, Associate professor, Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
Manuscript received on 17 April 2019 | Revised Manuscript received on 24 April 2019 | Manuscript published on 30 April 2019 | PP: 894-899 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3708048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The urban population of India has increased excessively during the past decades. This population increase is due to the migration of people from rural areas to cities. Utilization of land is determined to change according to the development of cities over the years. Urban sprawl leads to loss of agricultural lands, open spaces, and loss of surface water. Due to the rapid unplanned change in the environment, it is necessary to understand the changes in land use so as to identify the utilization of land for every city. With Geographic Information System (GIS), analysis of land use and land cover can be investigated. In this paper, efforts has been made to analyze the land utilization from 1999-2017 for a two decade period for the city of Lucknow. Urban sprawl has been quantified with landscape metrics using GIS. The analysis proved an increased dispersion of cities and conversion of vacant lands to developed lands with the growth of population. Therefore it is essential to understand the urban growth pattern for proper urban planning. 
Keyword: Urban sprawl, Remote sensing, Urbanization, Spatial metrics
Scope of the Article: Remote sensing