Satellite-Based Early Warning Systems for Climate-Induced Maritime Security Risks
Ian B. Benitez
a,b
,
Paula Marielle S. Ababao
b,c
,
Gabriel Avelino Sampedro
d
a Electrical Engineering Department, FEU Institute of Technology, Manila, Philippines
b Innovation and Research Office, FEU Institute of Technology, Manila, Philippines
c Mathematics and Physical Sciences Department, FEU Institute of Technology, Manila, Philippines
d Department of Computer Science, University of the Philippines Diliman, Quezon City, Philippines
2025 International Conference on Mobile, Military, Maritime IT Convergence (ICMIC), (2025), pp. 224-228
Abstract: Climate change is intensifying maritime risks, including sea level rise, stronger storms, and disrupted ocean currents—posing threats to coastal infrastructure, navigation, and security. Traditional monitoring systems lack the predictive capabilities and coverage to address these evolving challenges. This paper explores the integration of Artificial Intelligence (AI) and satellite-based Earth observation as a next-generation early warning system (EWS) for maritime security. We assess observed and projected hazard trends, propose an AI-enhanced system architecture, and evaluate readiness in climate-vulnerable geographies. The findings highlight actionable strategies to improve forecasting, risk detection, and climate resilience in coastal and maritime domains.