Coastal zones are among the most vulnerable environments on Earth, shaped by constant natural processes and intensifying human pressures. Earth observation technologies provide continuous views of coastal systems. By enabling automated, accurate analysis of shoreline change, water quality, and coastal hazards, the integration of Earth observation and deep learning redefines how coastal environments are monitored, mapped, and managed. This intersection offers powerful tools to support decision-making, enhance resilience to climate change, and promote sustainable coastal management worldwide. Earth Observation and Deep Learning for Coastal Monitoring, Mapping, and Management explores Earth observation in the context of coastal environments. It examines how the application of deep learning may improve the accuracy and efficiency of coastal monitoring. Covering topics such as machine learning, sustainability, and data systems, this book is an excellent resource for academicians, researchers, data scientists, and environmental scientists.
