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This advanced session explores next-generation geospatial fusion frameworks purpose-built for defense and critical infrastructure applications—integrating LiDAR, 3D analytics, and AI to deliver a unified operational picture across land, sea, cyberspace, and orbital domains.

Participants will learn how high-resolution LiDAR establishes the 3D spatial backbone for monitoring mission-critical environments such as ports, coastal zones, transportation corridors, and energy infrastructure. The course then demonstrates how 3D modeling, meshing, and simulation enhance situational foresight and predictive impact assessment. Finally, attendees will see how AI-powered temporal reasoning applies multi-source aerial and orbital imagery to automate object classification, detect changes, and flag anomalies in real time.

Through real-world examples, the training illustrates how this integrated approach strengthens situational awareness and decision-making across multiple domains—supporting applications from infrastructure monitoring to space asset surveillance.

Learning Outcomes

Understand how LiDAR and 3D analytics form the foundation for monitoring defense and infrastructure assets
Examine the integration of AI-driven temporal analysis for automated detection and anomaly flagging
Explore how fused geospatial intelligence enhances awareness across physical, digital, and orbital domains
Review operational use cases such as pipeline monitoring, port management, and rapid post-event assessment
Discuss the strategic impact of unifying terrestrial, maritime, cyber, and space-based data streams

Prerequisites

Basic understanding of aerial data collection, 3D LiDAR, and AI concepts.

GEOINT 2026

Multi-Domain Geospatial Fusion for Defense: Integrating LiDAR, 3D Analytics, and AI from Terrain to Orbit

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