Shoreline Changes and Associated Coastal Land LOSS Along the Coast of Pondicherry and Cuddalore District using Remote Sensing and GIS

R Aswini¹

¹Assistant Professor, Department of Civil Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India

Abstract

The shoreline is one of the rapidly changing landforms in coastal areas. They are the key element in coastal GIS and provide the most information on coastal land form dynamics. Therefore, accurate detection and frequent monitoring of shorelines is very essential to understand the coastal processes and dynamics of various coastal features. The resent study is to investigate the shoreline changes along the coast of Pondicherry and Cuddalore district of Tamil Nadu (where hydrodynamic and morphological changes occur continuously after 2004 tsunami and constructions of anthropogenic activities such as sea wall, groins, jetties etc.) by using Digital Shoreline Analysis System (DSAS) an extension of ArcGIS. In this study low resolution satellite imagery Landsat TM and Landsat ETM+ data is used for mapping shoreline position using Remote Sensing and GIS technology and Multidate Landsat Satellite data are used to extract the shorelines. The data is processed by ERDAS IMAGINE 9.1 software and analysed by Arc GIS. The rates of shoreline changes are estimated by statistical method namely End Point Rates (EPR), Linear Regression Rate (LRR), Net shoreline moment using DSAS. One among the mathematical modelling technic called linear regression model is used for future prediction analysis. Rate of change of land area is analysed. Thus this study will help for various applications like coastal zone management, beach nourishment, and to overcome the erosion, accretion rate.

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Cite this Article as Follows

R Aswini. Shoreline Changes and Associated Coastal Land LOSS Along the Coast of Pondicherry and Cuddalore District using Remote Sensing and GIS. International Conference on Global Environmental Changes and Sustainable Development (2018): 108. Print.