<p>This study investigates the application of satellite remote sensing technologies and artificial intelligence (AI) in the assessment, monitoring, and recovery of cultural landscapes affected by natural disasters between 2018 and 2023. The research draws upon global data from 95 cultural sites across five regions, analyzing the impact of earthquakes, floods, storms, and wildfires on heritage landscapes. Our findings indicate a significant increase in both satellite remote sensing projects (from 4 to 33) and AI accuracy (from 75 to 95%) during the study period. Government agencies were found to be the primary funding source (50%), followed by private sector entities (35%) and NGOs/international grants (15%). Regional analysis revealed highest project concentration in Asia (30 projects) and Europe (25 projects), with comparatively fewer initiatives in Africa, Americas, and Oceania. We demonstrate that integrated satellite-AI approaches offer unprecedented capabilities for rapid assessment, precise damage quantification, and recovery monitoring of cultural landscapes, providing stakeholders with actionable intelligence for preservation decision-making. These technological advances address critical gaps in traditional cultural heritage management practices, particularly in post-disaster scenarios where accessibility is limited and time-sensitive interventions are required.</p>