• PRATIMA SHAH
• GARGI RAJAPARA

The shoreline is one of the coastline landforms that changes continuously concerning time and natural as well as man-made phenomena. It becomes essential to monitor such changes in the coastline to study the hydrological impact. This study focuses on analysing coastal change from 1991 to 2021 in a gap of 10 years. Post-monsoon season analysis has been carried out in this study. Coastline statistical analysis over the period has been carried out using the DSAS tool which is available as a plugin in ESRI ArcGIS software. Landsat sensor imagery provided by USGS is used in this research. DSAS uses three statistical methods to analyse shoreline change: 1. Endpoint rate (EPR), 2. Linear regression rate (LRR). Initially, coastline extraction has been carried out. The results are used as the base shoreline for the DSAS model and further extraction and analysis have been carried out to monitor long-term changes in the Gulf of Khambhat coastline from 1991 to 2021. The processing is carried out for the post-monsoon season to understand the environmental impact on coastal hydrodynamics. Results show the comparison of maximum accretion and erosion found using End Point Rate, and Linear Regression Rate, respectively.

Landsat, Shoreline, Remote sensing, DSASv5.0,EPR,LRR

"Comparison of Shoreline Change Analysis using EPR and LRR methods along the Coastal Region", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.e402-e408, October-2023, Available :http://www.jetir.org/papers/JETIR2310365.pdf

"Comparison of Shoreline Change Analysis using EPR and LRR methods along the Coastal Region", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. ppe402-e408, October-2023, Available at : http://www.jetir.org/papers/JETIR2310365.pdf