Geospatial Smart Technologies in Military Strategy: Lessons from the Iran–Israel–US Conflict
by Benson Nalo
Published: June 8, 2026 • DOI: 10.51244/IJRSI.2026.1305000188
Abstract
Geospatial smart technologies have emerged as decisive instruments in the transformation of contemporary military strategy, reshaping how states compress decision cycles, enhance situational awareness, and integrate precision targeting into operational planning. Against this backdrop, the study sets out to interrogate the strategic role of geospatial intelligence—satellite-based remote sensing, AI-driven targeting systems, and drone swarm navigation—within the triangular confrontation involving Iran, Israel, and the United States. Methodologically, the research adopts a comparative case study approach, drawing on open-source intelligence, defense analyses, and scholarly literature to evaluate how these actors deploy geospatial technologies as both tactical enablers and strategic determinants of deterrence and escalation management. The findings reveal distinct patterns: the United States sustains global surveillance dominance through space-based remote sensing and algorithmic kill-chain compression; Israel integrates AI-enabled targeting systems such as Lavender and The Gospel with missile defense architectures like Iron Dome; while Iran pursues asymmetric strategies including GPS spoofing and drone swarms to disrupt adversary geospatial superiority. Three critical dynamics emerge from this comparison: the acceleration of military kill chains through AI–geospatial fusion, the destabilizing potential of asymmetric geospatial tactics, and the transparency effects of commercial satellite imagery on escalation control. The study concludes that geospatial technologies simultaneously enhance operational efficiency and introduce novel vulnerabilities. This duality underscores the urgent need for international governance frameworks that balance technological innovation with humanitarian protection, accountability, and stability in future conflicts.