海滩作为海岸带中一种独特的极具景观属性且易损海滨地貌形态，既是抵御海洋动力、守卫后滨生态环境的前沿阵地，又是沿海绿色经济发展的重要载体。长期以来，针对海滩的监测手段以人工现场测量为主，当前海滩研究面临多维度、高质量、长时序数据难于获取这一瓶颈问题。视频影像监测是可用于海岸过程观测和定量信息提取的光学遥感技术，为海滩全天候监测提供了新的、有效的解决方案。本文概述了岸基视频监测系统的发展历程，梳理了摄影几何与海滩关键信息提取算法的研究进展，分析了视频影像监测技术在海滩管理、海岸防护工程建设与评估、风暴潮过程观测、风沙运移过程观测等场景的适用性。在此基础上，展望了该技术的发展趋势及在我国的应用前景。探索以视频监测为代表的新型海岸带资源环境监测技术，有利于推动我国海岸动力地貌学精细化研究。

The coastal zone, positioned at the dynamic interface of land and sea, stands out as one of the most vibrant and crucial natural regions on Earth. Subject to the interactive forces of land, sea, and atmosphere, it"s geomorphic and ecological systems are exceptionally delicate. Beaches, characterized by the unique scenic attributes and susceptibility to coastal landform changes, act as the frontline defense against ocean hydrodynamics forces and serve as guardians of the coastal ecological environment. Simultaneously, they play a pivotal role in fostering green coastal economies. Strengthening the monitoring and research of beaches has become an imperative requirement for achieving harmonious coexistence between humans and nature. Traditionally, beach monitoring predominantly relied on labor-intensive field measurements, resulting in time-consuming efforts and limited spatiotemporal resolution in data sampling. The current bottleneck in beach research lies in the challenge of acquiring multidimensional, high-quality, and long-duration datasets. Shore-based video monitoring, an optical remote sensing technology designed for coastal process observation and quantitative data extraction, provides a new and effective solution for continuous beach monitoring. This technology, born in the United States in the 1980s with Argus as its paradigmatic representative, has proliferated globally over the past four decades. It is now universally acknowledged as a potent tool in the field of nearshore observation. While the research on shore-based video monitoring technology started relatively late in China, it has developed rapidly. In particular, the joint efforts of the Institute of Third Institute of Oceanography China, Hohai University, and Xiamen University led to the independent development of the COSVIMS. The progress of shore-based video monitoring technology has witnessed significant strides. Algorithmic advancements related to sandy coastlines, intertidal zone topography, nearshore wave propagation & dissipation processes, nearshore currents, and bathymetry extraction have played a crucial role in enhancing the capabilities of this technology. These algorithms not only ensure accuracy but also enable a more comprehensive understanding of coastal dynamics. The applicability of video monitoring technology spans various scenarios, including beach management, coastal engineering construction and assessment, storm surge process observation, and aeolian sand transport process monitoring. Looking ahead, the future trends of shore-based video monitoring technology are promising, especially in the context of the accelerating coastal urbanization in China. The contradictions between the development and protection of coastal zone resources and the environment are becoming increasingly pronounced. The widespread adoption of shore-based video monitoring technology holds high practical significance and value for research and protecting the coastal zones along China. Breakthroughs in emerging technologies, such as artificial intelligence, 5G, big data, and Cloud, coupled with the growing demand for coastal zone resource and environmental monitoring, are paving the way for greater development opportunities for shore-based video monitoring technology. In conclusion, the evolution of shore-based video monitoring technology signifies a transformative era in coastal research and management. As technology continues to advance, it opens new frontiers for understanding and preserving the delicate balance between coastal development and environmental conservation. The journey from direct measurements to advanced remote sensing exemplifies the evolution toward more efficient and sustainable coastal research methodologies.