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Geospatial Analysis of Urban Sprawl Patterns in Amritsar City, Punjab, India

by Minakshi, Shivani Singh, Brijendra Pateriya
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 8
Year of Publication: 2017
Authors: Minakshi, Shivani Singh, Brijendra Pateriya
10.5120/ijais2017451636

Minakshi, Shivani Singh, Brijendra Pateriya . Geospatial Analysis of Urban Sprawl Patterns in Amritsar City, Punjab, India. International Journal of Applied Information Systems. 11, 8 ( Jan 2017), 8-14. DOI=10.5120/ijais2017451636

@article{ 10.5120/ijais2017451636,
author = { Minakshi, Shivani Singh, Brijendra Pateriya },
title = { Geospatial Analysis of Urban Sprawl Patterns in Amritsar City, Punjab, India },
journal = { International Journal of Applied Information Systems },
issue_date = { Jan 2017 },
volume = { 11 },
number = { 8 },
month = { Jan },
year = { 2017 },
issn = { 2249-0868 },
pages = { 8-14 },
numpages = {9},
url = { https://www.ijais.org/archives/volume11/number8/957-2017451636/ },
doi = { 10.5120/ijais2017451636 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:03:35.570081+05:30
%A Minakshi
%A Shivani Singh
%A Brijendra Pateriya
%T Geospatial Analysis of Urban Sprawl Patterns in Amritsar City, Punjab, India
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 11
%N 8
%P 8-14
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Amritsar is the largest and most important city in northern Punjab. Amritsar serves as a major commercial, cultural, and transportation hub with Golden Temple & Raja Sansi international airport. It lies about 25 km east of the border with Pakistan and gateway for travelers coming to India on the overland route from central Asia. The present study attempts to understand, detect and quantify the spatial pattern of Amritsar urban sprawl using Shannon’s entropy and multi-temporal satellite images acquired for the period from 1972 to 2015. Shannon’s entropy has been used to model the city’s urban sprawl, trend and spatial change. The entropy values for the different grids were modeled and the interpolation function in ArcGIS is used to obtain an entropy surface for each acquired temporal image. The entropy surface index indicates the spatial pattern of the urban sprawl and facilitates to visual assess the entropy phenomenon in all the grids. The value of Shannon’s entropy index increased from (0.40) in year 1972 to (0.97) in year 2015, indicating more dispersed urban growth, an indication of urban sprawl. Results obtained from entropy indices help in understanding the sprawl patterns and dynamics among different grids and provide a visual comparison which facilitates the decision makers and city planners for measuring the urban sprawl required for mega cities.

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Index Terms

Computer Science
Information Sciences

Keywords

Shannon’s Entropy Urban Growth Sprawl Patterns Remote Sensing & GIS

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