Water security in the Gulf Cooperation Council (GCC) is under existential threat from aquifer depletion, intensifying climate extremes, and escalating demand. While satellite Earth observation (EO) provides unprecedented capabilities to monitor these pressures, its integration into operational governance remains critically limited. This review examines the role of EO in enhancing hydrological intelligence by integrating multi-sensor data into actionable insights for decision support. This study systematically analysed applications across subsurface water, drought, urban hydrology, and integrated modelling, revealing a stark paradox: despite having world-class EO infrastructure, utilisation is fragmented and largely diagnostic. Emerging innovations in Artificial Intelligence (AI) and cloud computing signal a shift toward predictive governance; however, these are constrained by institutional inertia, rather than technological gaps. The analysis reveals that the fundamental bottleneck is a failure of institutional assimilation, characterised by fragmented data custodianship, restrictive policies, and limited analytical capacity. Consequently, this critical review argues that embedding hydrological intelligence into binding regulatory instruments, including groundwater quotas and drought contingency plans, is imperative for climate resilience. The GCC's water future hinges not on further technological innovation, but on its capacity to institutionalise EO within adaptive governance frameworks. • A critical synthesis of Earth observation for water governance in the GCC. • Introduces hydrological intelligence for adaptive water policy. • Advanced technical capabilities face fragmented operational adoption. • Institutional inertia, not technical capacity, is the primary barrier. • Proposes integration of satellite data into binding regulatory instruments.
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Portia Agyemang
Bosompem Ahunoabirim Agya
Kwame Anokye
Environmental and Sustainability Indicators
Texas State University
Gansu Agricultural University
Nordhausen University of Applied Sciences
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Agyemang et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69d892d16c1944d70ce03fdd — DOI: https://doi.org/10.1016/j.indic.2026.101256