Sinopsis
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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Acerca del autor
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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Earth Observation and Deep Learning for Coastal Monitoring, Mapping, and Management
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Igi Global Scientific Publishing, 2026
ISBN 13: 9798337388731
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Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798337388731
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Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798337388731
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Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9798337388731
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Taschenbuch. Condición: Neu. Earth Observation and Deep Learning for Coastal Monitoring, Mapping, and Management | Uzair Bhatti (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337388731 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 134998350
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