Shoreline change analysis is an important tool for understanding the dynamics of coastal environments, particularly in the face of climate change and increasing anthropogenic pressures. The North most Coromandel Coast of India is a densely populated and rapidly developing region that is particularly vulnerable to these challenges. In this study, a statistical approach was used to analyse shoreline changes along the Andhra based Coromandel Coast using GIS. The study analysed shoreline data from 1988 to 2021, which was obtained from satellite images and maps. The data was processed using GIS software to generate shoreline vectors, which were then used to calculate shoreline change rates. Statistical analysis was performed to identify significant trends and patterns in the data. The results of the study revealed that the northern line of Coromandel Coast has experienced significant shoreline changes over the past three decades, with the majority of the coast experiencing erosion. The study also identified several hotspots of shoreline erosion and accretion, which were associated with natural and anthropogenic factors such as river sedimentation, coastal infrastructure development, and climate change. The statistical approach used in this study provides a valuable tool for analysing and understanding shoreline changes in coastal environments. The results of this study can be used to inform management and conservation strategies for the Coromandel Coast, as well as other coastal regions facing similar challenges.

shoreline, coast, DSAS, Linear regression, Model, Statistics