This paper is published in Volume-3, Issue-3, 2017
Area
Remote sensing
Author
Kumara Ganesh .U
Org/Univ
Centre for Remote Sensing, India
Keywords
Shoreline, Erosion, Accretion, DSAS, LRR, Tondi, Protruding Delta
Citations
IEEE
Kumara Ganesh .U. Geospatial Based Study to Predict Future Shoreline Positions from Historical Data for a Part of Palk Bay Coast, South India, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kumara Ganesh .U (2017). Geospatial Based Study to Predict Future Shoreline Positions from Historical Data for a Part of Palk Bay Coast, South India. International Journal of Advance Research, Ideas and Innovations in Technology, 3(3) www.IJARIIT.com.
MLA
Kumara Ganesh .U. "Geospatial Based Study to Predict Future Shoreline Positions from Historical Data for a Part of Palk Bay Coast, South India." International Journal of Advance Research, Ideas and Innovations in Technology 3.3 (2017). www.IJARIIT.com.
Kumara Ganesh .U. Geospatial Based Study to Predict Future Shoreline Positions from Historical Data for a Part of Palk Bay Coast, South India, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kumara Ganesh .U (2017). Geospatial Based Study to Predict Future Shoreline Positions from Historical Data for a Part of Palk Bay Coast, South India. International Journal of Advance Research, Ideas and Innovations in Technology, 3(3) www.IJARIIT.com.
MLA
Kumara Ganesh .U. "Geospatial Based Study to Predict Future Shoreline Positions from Historical Data for a Part of Palk Bay Coast, South India." International Journal of Advance Research, Ideas and Innovations in Technology 3.3 (2017). www.IJARIIT.com.
Abstract
The coastal zone has been receiving tremendous attention of the geoscientific community worldwide, as 70 percent of global population, over two third of world’s mega cities, huge industrial complexes, major economic zones, etc., are concentrated along global coast. Developing and most populated country like India changes along the shoreline and coastal environment due to coastal process are the directly impact coastal economic development and land management (Welch et al. 1992; Stokkom et al. 1993). Hence, the present study has focuses to study the shoreline modification of 43 years of periods between 1972 and 2015. For attempting of this unique freely available software Digital Shoreline Analysis System (DSAS) is used which works within the Environmental Systems Research Institute (ESRI) Geographic Information System (ArcGIS) software (Ref). Rate of shoreline change statistics for 43 years of duration between 1972 to 2015 has been calculated using LRR model. In addition, using EPR model to predict future shore line positions in Palk bay. Thus the present study has been calculated from chronological observations of different satellite datas and disastrous impacts like tsunami and storm have not been taken into consideration (Mukhopadhyay et al. 2012; Fenster et al. 1993).