We estimated shoreline changes over the last five decades in a part of the southeast coast of India at Cuddalore by using multitemporal satellite images from six different time-windows (i.e. 1972, 1980, 1990, 2000, 2010 and 2020) and the digital shoreline analysis system tool (DSAS 5.0). The linear regression rate and end point rate quantified the maximum erosion at rates of 6.8–7.2 m/year and the maximum accretion at rates of 3.9–4.2 m/year at different sites along the 42 km stretch that was affected by several disasters in the recent past and has a substantial industrial presence. The net shoreline movement analysis identified the sites that experienced about 340 m of erosion and about 203 m of accretion. The Kalman filter model predicted up to 274 m of the shoreline erosion at Chinna vaaikaal until 2040. Similarly, the shoreline at Puthupettai could be accreted up to 538 m over the same interval. The outcome of this research demonstrates that studies similar to ours should be carried out in different parts along the vast Indian coastline to understand the shoreline evolution in order to prepare a better coastal management strategy.

我们通过使用来自六个不同时间窗口（即 1972、1980、1990、2000、2010 和 2020 年）的多时相卫星图像和数字海岸线分析，估计了过去五年印度东南海岸 Cuddalore 部分地区的海岸线变化系统工具（DSAS 5.0）。线性回归率和终点率量化了 6.8-7.2 m/年速率的最大侵蚀和 3.9-4.2 m/年速率的最大增生，在沿 42 公里长的受多起灾害影响的不同地点最近的过去，并有大量的工业存在。净海岸线运动分析确定了经历约 340 m 侵蚀和约 203 m 堆积的地点。卡尔曼滤波器模型预测到 2040 年 Chinna vaaikaal 的海岸线侵蚀高达 274 m。类似地，Puthupettai 的海岸线可以在相同的间隔内增加至 538 m。这项研究的结果表明，应该在印度广阔海岸线的不同部分进行与我们类似的研究，以了解海岸线的演变，以便制定更好的海岸管理策略。