REVIEW article

Front. Earth Sci.

Sec. Geohazards and Georisks

Volume 13 - 2025 | doi: 10.3389/feart.2025.1570413

Fiber-Optic Technologies for Real-Time Monitoring of Coastal Landslides: A Review of Their Role in Early Warning Systems

Provisionally accepted
  • 1Yancheng Teachers University, Yancheng, Jiangsu, China
  • 2Yang-En University, Quanzhou, Fujian Province, China
  • 3China Geological Survey, Beijing, Beijing Municipality, China
  • 4Utrecht University, Utrecht, Netherlands, Netherlands

The final, formatted version of the article will be published soon.

Effective early warning systems are crucial for mitigating the risks of landslides in vulnerable coastal areas. With the increasing frequency of coastal landslides, precise monitoring solutions are essential for timely interventions. This review addresses real-time monitoring by fiber-optic technologies, which offer high precision, rapid data acquisition, and adaptability, making them a promising solution. Fiber-optics provide continuous, real-time data for early detection of ground movements, unlike traditional methods that struggle with spatial and temporal coverage. Fiber-optic sensors cover large areas and maintain a high frequency, allowing for a detailed assessment of landslide behavior. This review highlights successful implementations of fiber-optic monitoring in both lab and field settings, showcasing their versatility and effectiveness. This review demonstrates the significant contributions of fiber-optic technologies in improving landslide monitoring and risk management. By enabling timely and accurate data collection, these sensors enhance early warning systems and trigger proactive responses to protect lives and infrastructure. Additionally, their use aids in understanding landslides, developing effective mitigation strategies, and land use planning, ultimately strengthening the resilience 22 of coastal communities.

Keywords: Landslides, fiber-optic technology, Early warning system, Real-time monitoring, Coastal mass movement

Received: 03 Feb 2025; Accepted: 30 May 2025.

Copyright: © 2025 Cemiloglu, Chengyong, Teng, Nanehkaran, Raoof, Sweijen and Derakhshani. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Thomas Sweijen, Utrecht University, Utrecht, 3584 CS, Netherlands, Netherlands
Reza Derakhshani, Utrecht University, Utrecht, 3584 CS, Netherlands, Netherlands

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