Abstract
The rapid growth of urban population in India is a cause of concern among country’s urban and town planners for efficient urban planning. The drastic growth of urban areas has resulted in sharp land use and land cover changes. In recent years, the significance of spatial data technologies, especially the application of remotely sensed data and geographical information systems (GIS) has been widely used. The present study investigates the urban growth of Tiruchirapalli city, Tamilnadu using IRS satellite data for the years 1989, 1992, 1995, 1998, 2001, 2004, 2007, and 2010. The eight satellite images are enhanced using convolution spatial enhancement method with Kernel (7 × 7) edge enhance function. Supervised classification method is used to classify the urban land use and land cover. The GIS is used to prepare the different layers belonging to various land uses identified from remotely sensed data. The analysis of the results show the drastic increase of built up area and reduced green cover within the city boundary limit.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Al Rawashdeh, S., & Saleh, B. (2006). Satellite monitoring of urban spatial growth in the Amman area, Jordan. Journal of Urban Planning and Development, 132(4),187–258.
Ehlers, M., Jadkowski, M. A., Howard, R. R., & Brostuen, D. E. (1990). Application of SPOT data for regional growth analysis and local planning. Photogrammetric Engineering and Remote Sensing, 56(2), 175–180.
Farooq, S., & Ahmad, S. (2008). Urban sprawl development around Aligarh city: A study aided by satellite remote sensing and GIS. Journal of Indian Society of Remote Sensing, 36, 77–78.
Han, J., Hayashi, Y., Cao, X., & Imura, H. (2009). Evaluating land-use change in rapidly urbanizing China: Case study of Shanghai. Journal of Urban Planning and Development, 135(4), 166–171.
Harris, P. M., & Ventura, S. J. (1995). The integration of geographic data with remotely sensed imagery to improve classification in an urban area. Photogrammetric Engineering and Remote Sensing, 61(8), 993–998.
Lu, D., & Weng, Q. (2006). Use of impervious surface in urban land use classification. Journal of Remote Sensing of Environment, Elsevier, 102, 146–160.
Planning commission, GOI. (2008). Eleventh five year plan 2007-12, vol. III. New Delhi: Oxford University Press.
Prasannakumar, R., & Dhinakaran, G. (2008). Effect of mixed traffic flow on control delay at signalized intersections. Journal of Civil Engineering Research and Practice, 5(2), 27–41.
Treitz, P. M., Howard, P. J., & Gong, P. (1992). Application of satellite and GIS technologies for land-cover and land-use mapping at the rural-urban fringe: A case study. Photogrammetric Engineering and Remote Sensing, 58(4), 439–448.
Yeh, A. G. O., & Li, X. (1996). Urban growth management in the Pear River delta—an integrated remote sensing and GIS approach. ITC Journal, 1, 77–85.
Yeh, A. G. O., & Li, X. (1997). An integrated remote sensing-GIS approach in the monitoring and evaluation of rapid urban growth for sustainable development in the Pearl River Delta, China. International Planning Studies, 2(2), 193–210.
Acknowledgement
The work presented here is the part of research project funded by Department of Science and Technology (DST-SERC) India under grant No. SR/S3/MERC/074/2009-DST-SERC-Engg.The authors thank the authorities of the SASTRA University, India for providing infrastructural facilities for pursuing this research work. The authors are thankful to NRSC, Hyderabad for providing satellite images for the study area.
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Suribabu, C.R., Bhaskar, J. & Neelakantan, T.R. Land Use/Cover Change Detection of Tiruchirapalli City, India, Using Integrated Remote Sensing and GIS Tools. J Indian Soc Remote Sens 40, 699–708 (2012). https://doi.org/10.1007/s12524-011-0196-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12524-011-0196-x