The shoreline is one of the most important dynamic linear features on the earth’s surface, thus the shoreline detection and monitoring are an important task. The study of coastal system processes and coastal zone management (CZM) requires information about the shoreline and their changes. The reason for shoreline changes in the coastal zones mainly focuses on, various activities such as natural and anthropogenic activities. This study describes the utilization of satellite and an unmanned aerial vehicle (UAV) remote sensing (R/S) to detect shoreline changes between 1989 and 2017 and identify the rate of change of shoreline for ~ 8.7 km of Cuddalore District, Tamil Nadu, India. UAV R/S is used to acquire the high resolution of aerial nadir image with low cost and short time periods for on-demand areas. Visual interpretation method has been employed to delineate the shoreline from different periods of satellite and UAV images with various resolutions. The vector overlay technique (VOT) assess the area of shoreline changes for different periods between 1989 and 2017. The tool named as digital shoreline analysis system (DSAS) was utilized to find the rate of shoreline changes. This study concludes changes of regression and transgression by using end point rate (EPR) is between − 5.3 m and + 5.99 m. The plus sign ( +) indicates regression (sea converted to land) and minus sign (–) represents the transgression (land converted to sea) of shoreline. Each and every period of shoreline change were arranged in a continuous frame to make a video and published in webGIS. In future coastal management studies, UAV and R/S can be effective alternative methods to the traditional aerial surveys.

海岸线是地球表面最重要的动态线性特征之一，因此，海岸线的检测和监视是一项重要的任务。对海岸系统过程和海岸带管理（CZM）的研究需要有关海岸线及其变化的信息。沿海地区海岸线变化的原因主要集中在自然和人为活动等各种活动上。这项研究描述了利用卫星和无人机（UAV）遥感（R / S）来检测1989年至2017年之间的海岸线变化并确定印度泰米尔纳德邦Cuddalore区约8.7公里的海岸线变化率。UAV R / S用于以低成本和短时间段获取按需区域的航拍图像的高分辨率。视觉解释方法已经被用来从具有不同分辨率的卫星和无人机图像的不同时期划定海岸线。矢量叠加技术（VOT）评估了1989年至2017年之间不同时期的海岸线变化面积。利用名为数字海岸线分析系统（DSAS）的工具来查找海岸线变化率。这项研究得出结论，使用端点速率（EPR）进行的回归和越界变化介于-5.3 m和+ 5.99 m之间。加号（+）表示海岸线的回归（海转换为陆地），减号（–）表示海岸线的海侵（转换为海）。海岸线变化的每个周期都安排在一个连续的框架中，以制作视频并发布在webGIS中。在未来的海岸管理研究中，