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JACIII Vol.30 No.3 pp. 899-911
(2026)
doi: 10.20965/jaciii.2026.p0899

Research Paper:

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Space-Air-Ground Integrated Intelligent Monitoring System for Geological Hazards Based on Multi-Source Information Fusion Technology

Sijing Chen*1, Yunyan Shao*1, Zikang Wu*2,*3,*4, Chengda Lu*2,*3,*4, and Min Wu*1,*2,*3,*4,†

*1School of Future Technology, China University of Geosciences
No.388 Lumo Road, Hongshan, Wuhan 430074, China

*2School of Artificial Intelligence and Automation, China University of Geosciences
No.388 Lumo Road, Hongshan, Wuhan 430074, China

*3Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
No.388 Lumo Road, Hongshan, Wuhan 430074, China

*4Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education
No.388 Lumo Road, Hongshan, Wuhan 430074, China

†Corresponding author

Received:
November 27, 2025
Accepted:
January 25, 2026
Published:
May 20, 2026
Creative Commons License
Keywords:
geological hazards, intelligent monitoring, multi-source information fusion, hazards identification, spatiotemporal prediction
Abstract

Geological hazards exhibit strong abruptness and severe destructive effects, frequently occur worldwide, and pose a serious threat to human life and property. Conventional methods for geological hazard monitoring are inadequate for fulfilling the requirements of accurate and real-time monitoring under complex geological conditions. This study provides an intelligent system for geological hazard monitoring based on multi-source information fusion. The characteristics of space-based, airborne, and ground-based multi-source information were analyzed. Multi-source information fusion methods at different scales were also discussed. Subsequently, intelligent algorithms for hazard identification, spatiotemporal prediction, and real-time warnings in the field of geological hazard monitoring were explored. Furthermore, practical application cases of the system were presented, laying a foundation for research on the application of artificial intelligence to geological hazards.

Overall architecture of geological hazard monitoring

Overall architecture of geological hazard monitoring

Full text
Cite this article as:
S. Chen, Y. Shao, Z. Wu, C. Lu, and M. Wu, “Space-Air-Ground Integrated Intelligent Monitoring System for Geological Hazards Based on Multi-Source Information Fusion Technology,” J. Adv. Comput. Intell. Intell. Inform., Vol.30 No.3, pp. 899-911, 2026.
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Last updated on May. 20, 2026