Emergency management is a critical discipline aimed at ensuring the safety and resilience of communities in the face of both natural and man-made disasters. It involves four key phases: mitigation, preparedness, response, and recovery. To effectively manage emergencies, decision-makers in emergency management organizations must have timely and accurate access to large-scale geospatial data. Laser Radar, commonly known as LiDAR (Light Detection and Ranging), is an emerging technology that plays a pivotal role in modern emergency management by providing high-precision geospatial information. The integration of LiDAR with Artificial Intelligence (AI) technologies enhances the automation of data processing, enabling real-time analysis and actionable insights. This paper explores the applications of LiDAR in emergency management, emphasizing its role in geospatial intelligence, disaster response, and decision-making support. It highlights how AI algorithms can further optimize the use of LiDAR data in scenarios such as disaster response coordination, infrastructure damage assessment, and resource allocation, ultimately improving the efficiency and accuracy of emergency management operations.

Han Chen.  Applications of Laser Radar (LiDAR) in Geospatial Intelligence and AI-Driven Emergency Management. International Journal of Big Data Intelligent Technology (2024), Vol. 5, Issue 1: 172-182. https://doi.org/10.38007/IJBDIT.2024.050118.

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