<![CDATA[The increasing complexity of national security threats in the digital era requires intelligence systems capable of conducting rapid, precise, and predictive analysis. This paper examines how remote sensing big data analysis can enhance strategic intelligence capability in national security by integrating satellite imagery, geospatial data, artificial intelligence, machine learning, deep learning, and cybersecurity mechanisms. Using a qualitative literature review approach, this study analyzes secondary sources from peer-reviewed journals, cybersecurity studies, government-related reports, and technology documents relevant to remote sensing and big data analytics. The findings show that remote sensing big data strengthens strategic intelligence by improving situational awareness, supporting early warning, detecting military and environmental changes, monitoring critical infrastructure, and enabling faster strategic decision-making. However, the effectiveness of this technology depends on data security, system reliability, inter-agency coordination, and the integration of cybersecurity mechanisms such as intrusion detection systems, federated learning, blockchain, and secure data governance. Therefore, remote sensing big data should be developed as an integrated intelligence ecosystem that combines advanced geospatial analytics, real-time data processing, cyber resilience, and institutional coordination to support national security.]]>
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