Coastal mangrove ecosystems play a crucial role in maintaining environmental balance. They offer shelter to a wide range of species, act as natural barriers against coastal erosion, and store large amounts of carbon, helping combat climate change. Despite their importance, mangroves are under serious threat from human activities and the changing climate, which makes effective monitoring essential for their protection. In recent years, remote sensing has emerged as a powerful method for studying mangroves. Its ability to collect detailed information over time and across large areas makes it ideal for tracking changes in these fragile ecosystems. This chapter takes a closer look at how remote sensing technologies have evolved and how they’re being used to monitor mangroves more accurately. It starts by outlining why mangroves matter and the many challenges they face, such as deforestation, pollution, and rising sea levels. It then explores the tools researchers use, like passive sensors (such as multispectral and hyperspectral imaging) and active sensors (including LiDAR and SAR), explaining how they work, what they can do, and where they fall short. The chapter also highlights how combining remote sensing with Geographic Information Systems and machine learning is improving how we map and monitor mangrove forests. Tools like satellite imagery and aerial photography help scientists measure changes in mangrove size, species, and overall health. Drones are proving especially useful for gathering high-resolution images of smaller, specific areas. Looking ahead, newer technologies like satellite-based hyperspectral sensors and unmanned surface vehicles (USVs) offer exciting possibilities for advancing mangrove monitoring even further. Ultimately, the chapter emphasizes the need for innovation and collaboration to close existing research gaps and build stronger conservation strategies.