Shorelines are the dynamic interfaces of both terrestrial and marine environments and are sensitive to climate and anthropogenic influences. The change in the shoreline plays a critical role in intertidal mudflat resources and coastal ecological environment. This paper extracts shoreline along the coast of Yancheng from 1983 to 2020 using a new procedure. The proposed procedure is based on a combination of object-oriented technology and thresholding the wetness components of the tasseled cap transformation (TCT). Then, we studied the temporal and spatial variation in the shoreline and predicted shore movement using the Digital Shoreline Analysis System (DSAS). The results indicated that we yielded a better extraction of shoreline results using the new approach. The shoreline change analysis for the coast of Yancheng over 40 years indicated that 89% was accretion, 3% was under stable coast and erosion was 8%. The coast showed a significant trend of expanding to the sea. Finally, we forecasted shoreline position for the years 2019 and 2020 based on the historical shoreline position data from 1983 to 2009 and 1983–2010 by using the Kalman filter. The results of this study may help coastal researchers and decision makers to guide the use, management, and planning of coastal zones in further study.

海岸线是陆地和海洋环境的动态界面，并且对气候和人为影响敏感。海岸线的变化在潮间带滩涂资源和沿海生态环境中起着至关重要的作用。本文采用一种新的方法提取了盐城沿岸1983年至2020年的海岸线。所提出的过程是基于面向对象技术和对流苏上限转换（TCT）的湿度分量进行阈值化的组合。然后，我们使用数字海岸线分析系统（DSAS）研究了海岸线的时空变化和预测的岸上运动。结果表明，使用新方法可以更好地提取海岸线结果。盐城沿海地区40年的海岸线变化分析表明，增产89％，稳定海岸3％，侵蚀8％。沿海地区显示出向海扩张的显着趋势。最后，我们使用Kalman滤波器，根据1983年至2009年以及1983–2010年的历史海岸线位置数据，预测了2019年和2020年的海岸线位置。这项研究的结果可能有助于沿海研究人员和决策者在进一步研究中指导沿海地区的使用，管理和规划。