Hassan, Al-Farsi and Sofia, Dimitrova (2025) Augmented Reality and AI in Remote Geospatial Analysis Enhancing Decision-Making in Crisis Management. American Journal of Engineering, Mechanics and Architecture, 3 (3). pp. 129-144. ISSN 2993-2637
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Abstract
In an era of increasing environmental and geopolitical challenges, the integration of Augmented Reality (AR) and Artificial Intelligence (AI) in remote geospatial analysis is transforming crisis management and decision-making. By combining AI-driven data analytics with immersive AR visualization, emergency responders, policymakers, and geospatial analysts can gain real-time, interactive, and highly accurate insights into crisis situations. This fusion enhances the interpretation of satellite imagery, LiDAR data, and drone surveillance, allowing for faster, more precise, and proactive responses to natural disasters, humanitarian crises, and security threats.
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Postgraduate > Master's of Islamic Education |
Depositing User: | Journal Editor |
Date Deposited: | 19 Mar 2025 09:03 |
Last Modified: | 19 Mar 2025 09:03 |
URI: | http://eprints.umsida.ac.id/id/eprint/15846 |
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