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Earth Observation and Deep Learning for Coastal Monitoring, Mapping, and Management - Couverture souple

 
9798337388731: Earth Observation and Deep Learning for Coastal Monitoring, Mapping, and Management

Synopsis

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.

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À propos de l'auteur

Di Wu currently holds the position of Lecturer at the School of Electronic Science and Technology, Hainan University, China. In March 2025, Di Wu earned his Ph.D. degree in Control Science and Engineering from Shanghai Jiao Tong University, Shanghai, China. From October 2023 to October 2024, he participated in a Ph.D. joint training program at the University of Naples Federico II, Naples, Italy. His research interests primarily focus on nonlinear control of aerial vehicles, multi-agent communication, and localization and mapping

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