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  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Computer Vision And Multimedia Computation
  9. Video Processing
  11. A Review Of Video-based Monitoring Systems For Geohazard Early Warning.
  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Computer Vision And Multimedia Computation
  9. Video Processing
  11. A Review Of Video-based Monitoring Systems For Geohazard Early Warning.

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A Review of Video-Based Monitoring Systems for Geohazard Early Warning.

Haoran Dong1, Shuzhong Sheng1, Chong Xu1,2,3

  • 1School of Geophysics and Space Exploration, East China University of Technology, Nanchang 330013, China.

Sensors (Basel, Switzerland)
|December 11, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Video-based monitoring systems enhance geohazard detection and early warning. Integrating machine learning and data fusion improves monitoring efficiency and accuracy for geological hazard assessment.

Keywords:
geohazardsmonitoring and early warningvideo-based monitoring system

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Area of Science:

  • Geosciences
  • Engineering
  • Computer Science

Background:

  • Video-based monitoring systems are increasingly vital for geohazard monitoring and early warning.
  • They offer real-time, non-contact visual observation, overcoming limitations of conventional methods.

Purpose of the Study:

  • To comprehensively review video-based monitoring technologies, machine learning in image processing, and data fusion for geohazards.
  • To analyze technical principles, applications, advantages, and future trends in the field.

Main Methods:

  • Review of domestic and international research on video-based monitoring.
  • Analysis of machine learning algorithms for video image processing.
  • Examination of multi-source data fusion techniques for geohazard applications.

Main Results:

  • Video systems with AI integration enable rapid detection and timely early warning of geohazards.
  • These systems significantly improve the efficiency and accuracy of geohazard monitoring efforts.

Conclusions:

  • Video-based monitoring, enhanced by machine learning and data fusion, represents a significant advancement in geohazard monitoring and early warning.
  • This review provides a valuable reference for future research and innovation in geohazard management.