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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.

References
  1. Yeh, A.G.O., and Li, X. Measurement and Monitoring of Urban Sprawl in a Rapidly Growing Region Using Entropy. Photogrammetric Engineering and Remote Sensing.2001, 67, 83-.
  2. Theobald, D.M. Quantifying Urban and Rural Sprawl Using the Sprawl Index. Proceedings of the Annual Conference of the Association of American Geographers, New York, 2 March 2001.
  3. Barnes, K.B., Morgan III, J.M., Roberge, M.C. and Lowe, S. Sprawl Development: Its Patterns, Consequences and Measurement. Towson University. 2001.
  4. Sudhira, H.S., Ramachandra, T.V., and Jagadish, K.S. Urban Sprawl: Metrics, Dynamics and Modelling Using GIS. International Journal of Applied Earth Observation & Geoinformation. 2004. 5; 29.
  5. Wei, J., Ma, J., Twibell, R.W. and Underhill, K. Characterizing Urban Sprawl Using Multi-Stage Remote Sensing Images and Landscape Metrics. Computers, Environment and Urban Systems. 2006, 30, 861-897.
  6. Yu, X.J. and Ng, C.N. Spatial and Temporal Dynamics of Urban Sprawl along Two Urban-Rural Transects: A Case Study of Guangzhou, China. Landscape and Urban Planning. 2007, 79, 96-10.
  7. Jat, M.K., Garg, P.K., and Khare, D. Modeling of Urban Growth using Spatial Analysis Techniques: A Case Study of Ajmer City (India). International Journal of Remote Sensing. 2008. 29 (2) 543-567.
  8. Shekhar, S. Urban Sprawl Assessment Entropy Approach. GIS Development. 2004,8, 43-48.
  9. Punia, M., and Singh, L. Entropy Approach for Assessment of Urban Growth: A Case Study of Jaipur, India. Indian Society of Remote Sensing. 2012. 40 (2) 231-244.
  10. Singh, B. Urban Sprawl Using Shannon Entropy, a Case Study of Rohtak City. International Journal of Advanced Remote Sensing and GIS International, 2014, 3, 544-552
  11. Hala, A., Effat,M. and Shobaky,El. Modeling and Mapping of Urban Sprawl Pattern in Cairo
  12. ESRI (2008) Arc GIS, Release 9.3. Environmental Systems Research Institute, Redlands, CA.
  13. Using Multi-Temporal Landsat Images and Shannon’s Entropy, Advances in Remote Senisng.2015, 4,303-318.
  14. Population Research Bureau, 2005: Human Population: Fundamental of Growth, Patterns of World Urbanisation. Population Reference Bureau, Inc., Washington, DC .
  15. Theobald, D.M. Quantifying Urban and Rural Sprawl Using the Sprawl Index. Proceedings of the Annual Conference of the Association of American Geographers, New York, 2 March 2001.
  16. United Nations, 2003: Worlds Urbanization Prospects. The 2003 Revision, New York.
Index Terms

Computer Science
Information Sciences

Keywords

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

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