Anthropogenic stresses and climate-related stressors are posing a growing danger to MEs, which are essential for biodiversity, carbon sequestration, and coastal protection. In terms of tracking, mapping, and managing these dynamic coastal forests, Earth Observation (EO) technologies have become indispensable due to their high temporal and synoptic coverage. Using cutting-edge technology like LiDAR, unmanned aerial vehicle (UAV) systems, multispectral and radar satellites, and artificial intelligence (AI)-driven data analytics, this chapter examines the changing field of EO applications in mangrove monitoring. Each platform’s advantages and disadvantages are emphasized, along with the necessity of multisensor integration and consistent monitoring procedures. Nevertheless, apart from many significant advancements, obstacles still exist that prevent the full operationalization of EO for conservation planning, such as spectrum confusion, cloud cover, data fragmentation, a lack of ground truth data, and institutional limitations. A forward-looking approach that incorporates sensor fusion, cloud-based AI analytics, SmallSat missions, citizen research, and capacity building programs is needed. In order to enable prompt, precise, and inclusive mangrove conservation, these strategies seek to close the gap between EO science and policy.