Journal of Geographical Sciences

, Volume 21, Issue 1, pp 79–88 | Cite as

An analysis of land use pattern in the industrial development city using high resolution satellite imagery

  • John Prince Soundranayagam
  • P. Sivasubramanian
  • N. Chandrasekar
  • K. S. P. Durairaj


The spatial differentiation of land use changes of Tuticorin is studied using high resolution LISS III satellite imagery and Maximum Likelihood algorithms. The classification accuracy of 95.2% was obtained. In this study, the land use of Tuticorin is classified as settlement, salt pan, agricultural land, wasteland, water bodies and shrubs. The settlement area is increased to 4.6 km2 during the year 2001 and 2006. The settlement area change is mainly driven by growth of industries and migration of people from peripheral villages. Shrub is increased to 3.63 km2 in the six year period. Water logging due to growth of shrubs in Tuticorin leads to several environmental and health hazard. This study warrants proper urban planning for Tuticorin for sustainable use of resource and environment.


land use urban planning remote sensing environment health hazard 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Arora M K, Agarwal K. 2002. A program for sampling design for image classification accuracy assessment. Photogrammetry Journal of Finland, 18(l): 33–43.Google Scholar
  2. Blaikie P, Brookfield H C, 1987. Land Degradation and Society. London: Methuen.Google Scholar
  3. Chauhan H B, Shailesh Nayak, 2005. Land use/land cover changes near Hazira Region, Gujarat using remote sensing satellite data. Journal of The Indian Society of Remote Sensing, 33(3): 413–420.CrossRefGoogle Scholar
  4. CRGEC (Committee for Research on Global Environmental Change) 1991. Report on the working group on land use change. Social Science Research Council, Washington DC.Google Scholar
  5. Csaplovics E, 1998. High resolution space imagery for regional environmental monitoring: Status quo and future trends. International Archives of Photogrammetry and Remote Sensing, 32(7): 211–216.Google Scholar
  6. Foody G M, 2002. Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80: 185–201.CrossRefGoogle Scholar
  7. Gan G, 1990. Perspective of urban land use in Beijing. GeoJoumal, 20(4): 359–364.Google Scholar
  8. Guo L Y, Wang D L, Qiu J J et al., 2009. Spatio-temporal patterns of land use change along the Bohai Rim in China during 1985–2005. Journal of Geographical Sciences, 19(5): 568–576.CrossRefGoogle Scholar
  9. Huimin Y, Jiyuan L, He Qing H et al., 2009. Assessing the consequence of land use change on agricultural productivity in China. Global and Planetary Change, 67: 13–19.CrossRefGoogle Scholar
  10. Liu S H, Sylvia P, LI X B, 2002. Spatial patterns of urban land use growth in Beijing. Journal of Geographical Sciences, 12(3): 266–274.CrossRefGoogle Scholar
  11. Liu Yansui, Wang Lijuan, Long Hualou, 2008. Spatio-temporal analysis of land-use conversion in the eastern coastal China during 1996–2005. Journal of Geographical Sciences, 18(3): 274–282.CrossRefGoogle Scholar
  12. Mather P M, 1999. Computer Processing of Remotely Sensed Images: An Introduction. 2nd ed. Chichester: Wiley.Google Scholar
  13. Sha A K, Arora M K, Csaplovics E et al., 2005. Land cover classification using IRS LISS III Image and DEM in a rugged terrain: A case study in Himalayas. Geocarto International, 20(2): 33–40.CrossRefGoogle Scholar
  14. Turner B L, William B Meyer, 1994. Changes in Land Use and Land Cover: A Global Perspective. USA: Cambridge University Press.Google Scholar
  15. UN Centre for Housing, Building and Planning, 1974. Human Settlements: The Environmental Challenge. London: Macmillan.Google Scholar
  16. United Nations, 1998. World Urbanization Prospects: The 1996 Revision. Population Division, New York.Google Scholar
  17. Weitz J, Moore T, 1998. Development inside urban growth boundaries: Oregon’s empirical evidence of contiguous urban form. Journal of American Planning Association, 64(4): 424–400.CrossRefGoogle Scholar
  18. Wolman M G, Fournier F G A, 1987. Land Transformation in Agriculture. Chichester, UK: John Wiley and Sons.Google Scholar

Copyright information

© Science in China Press and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • John Prince Soundranayagam
    • 1
  • P. Sivasubramanian
    • 2
  • N. Chandrasekar
    • 1
  • K. S. P. Durairaj
    • 3
  1. 1.Centre for GeoTechnologyManonmaniam Sundaranar UniversityTirunelveliIndia
  2. 2.Department of GeologyV.O.Chidambaram CollegeTuticorinIndia
  3. 3.The controller Manonmaniam Sundaranar UniversityTirunelveliIndia

Personalised recommendations