International Journal of P2P
Network Trends and Technology

Research Article | Open Access | Download PDF
Volume 2 | Issue 5 | Year 2012 | Article Id. IJPTT-V2I5N1P2 | DOI : https://doi.org/10.14445/22492615/IJPTT-V2I5N1P2

Land Use/Land Cover Mapping in and around South Chennai Using Remote Sensing and GIS Techniques

K. Ilayaraja, Abhishek Singh, Dhiraj Jha, Kriezo Kiso, Amson

Citation :

K. Ilayaraja, Abhishek Singh, Dhiraj Jha, Kriezo Kiso, Amson, "Land Use/Land Cover Mapping in and around South Chennai Using Remote Sensing and GIS Techniques," International Journal of P2P Network Trends and Technology (IJPTT), vol. 2, no. 5, pp. 8-16, 2012. Crossref, https://doi.org/10.14445/22492615/IJPTT-V2I5N1P2

Abstract

Land use and land cover change have been among the most important perceptible changes taking place around us. Human interventions in natural systems have resulted in large changes in vegetation, composition and distribution patterns. Changes in land use and hence in vegetation cover, due to climatic change and human activity changes the area constantly. Thus, there is a need for spatial and temporal characterization of vegetation cover at different scales. Satellite remote sensing provides detailed information regarding the spatial distribution and extent of land use changes in the landscape. This study encompasses the quantitative analysis of land use and land cover change in South Chennai using remote sensing technologies. SOI toposheet 1970, Landsat TM (Thematic Mapper) satellite images for year 1991 and 2006 have been utilised to quantify the changes for last three decades. The study concludes that built-up area is increased as 6.8%, 14.7% and 16.1% with a decrease of Forest cover from 20.3%, 16.3% to 15.3%.

Keywords

LULC, Built-up area, GLCF, South Chennai.

References

[1] Anderson, J., Hardy, E., Roach, J. Witmer, R., (1976); A Land Use and Land Cover Classification Scheme System for use with Remote Sensor Data. US Geological Survey, 1976.
[2] Chilar J. (2000). Land cover mapping of large areas from satellites: status and research priorities. International Journal of Remote Sensing, 21(67), pp. 1093–1114.
[3] Gibson, P., and Power, C., (2000); Introductory Remote Sensing: Digital Image Processing and Applications, Routledge.
[4] Hu, Z.-Z., Yang, S. & Wu, R. (2003). Long-term climate variations in China and global warming signals. Journal of Geophysical Research, 108 (D19). doi: 10.1029/2003JD003651.
[5] Klein, J. A., Harte, J. & Zhao, X. Q. (2004). Experimental warming causes and rapid species loss, dampened by simulated grazing, on the Tibetan Plateau. Ecology Letters, 7, 1170–1179.
[6] Zubair, A.O, Change detection in land use and land cover using Remote Sensing data and GIS (A case study of Ilorin and its environs in Kwara State.), Department of Geography, University of Ibadan, October 2006.