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

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.