Home > Archives > IJSRST151447 IJSRST-Library

A Study on Shoreline Changes in Parts of Pondicherry and Tamil Nadu Using Remote Sensing and GIS Techniques

Authors(6) :-P. Rajkumar, R. S. Kumar, S. Kumarvel, M. Bagyaraj, K. Rajaprian, S. Venkatesan

Coastal areas, the place where the water of the sea meet the land are indeed unique places in our global geography. Coastal zones are dynamic interfaces between land and water and are common locations of high-density development. Monitoring shoreline changes help to identify the nature and processes that caused these changes in any specific area, to assess the human impact and to plan management strategies. Remote sensing data could be used effectively to monitor the changes along the coastal zone, including shoreline with reasonable accuracy it has been taken up. The study area is the district of Pondicherry, which is the first largest among the four regions ,and it has an area of 293 km2.The study area falls in the Survey of India Topographic Map nos. of 58M/13 and 58P/16 on 1:50,000 scale. Detailed geomorphological was done based on mapping has been done using IRS P5 (2011) data and Survey of India Topographic map. In the present study, detailed coastal geomorphologic landforms of fluvial, coastal and uplands were studied.
P. Rajkumar, R. S. Kumar, S. Kumarvel, M. Bagyaraj, K. Rajaprian, S. Venkatesan
Remote sensing, GIS, Shoreline, Geomorphology, landforms.
  1. Chauhan, P. and Nayak, S. 1995. Shoreline Change – mapping from space: a case study on the Indian coast. Inter. In the proc. Of the Workshop on International Mapping from Space. IRS & ISPRS WG IV/2, pp.130-140.
  2. Douglas BC, Crowell M, Leatherman SP (1998) Considerations for shoreline position prediction. J Coast Res 14:1025–1033.
  3. Douglas, B.C., Crowell, M., 2000. Long-term shoreline position prediction and error propagation. Journal of Coastal Research 16, 145–152.
  4. Eliot I, Clarke D (1989) Temporal and spatial bias in the estimation of shoreline rate-of-change statistics from beach survey information. Coast Manage 17:129–156.
  5. Jensen, J.R., 1996, Introductory Digital Image Processing: A Remote Sensing perspective, Prentice Hall, London.
  6. Kumar Avinash, Narayana AC, Jayappa KS (2010b) Shoreline changes and morphology of spits along southern Karnataka, west coast of India: a remote sensing and statistics-based approach. Geomorphology 120:133–152.
  7. Li R, Jung Kuan Liu, Felus Y (2001) Spatial modelling and analysis for shoreline chang detection and coastal erosion monitoring. Mar Geod 24:1–12.
  8. Lillesand, T. M. and Kiefer, R. W. (1994), Remote sensing and image interpretation. John Wiley and Sons Inc., New York, 750p.
  9. Mather, P. (1999). Computer Processing of Remotely Sensed Imagery -An Introduction (2nd Edition), Chichester: John Wiley.
  10. Toutin, T., (2004). Review Article: Geometric Processing of Remote Sensing Images: Models, Algorithms and Methods. International Journal of Remote Sensing, 25(10), pp. 1893- 1924.
Publication Details
  Published in : Volume 1 | Issue 5 | November-December 2015
  Date of Publication : 2015-12-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 330-339
Manuscript Number : IJSRST151447
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
P. Rajkumar, R. S. Kumar, S. Kumarvel, M. Bagyaraj, K. Rajaprian, S. Venkatesan, "A Study on Shoreline Changes in Parts of Pondicherry and Tamil Nadu Using Remote Sensing and GIS Techniques", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 1, Issue 5, pp.330-339, November-December-2015.
Journal URL : http://ijsrst.com/IJSRST151447

Article Preview