This thesis focuses on the development of an advanced autonomous decision-making infrastructure for ground-based satellite operations, designed to support mission planning, task scheduling and spacecraft control. The framework operates from Earth, providing both mission designers and operators with a comprehensive toolset to simulate, analyze, and optimize satellite operations. Currently, planning is largely manual, with limited support from automated tools, resulting in higher costs, especially for long-duration missions or large constellations. Implementing a fully autonomous planning framework has the potential to lower operational expenses while enhancing scientific and commercial outcomes. At its core, the system integrates a high-fidelity orbital simulator that models the satellite’s dynamics, orbital constraints, and visibility windows, enabling operators to evaluate scenarios and plan activities within feasible timeframes.