Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 215,88
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 210,62
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Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 229,56
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 230,98
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 210,63
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 218,27
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 258,36
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Añadir al carritoPaperback. 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.
Librería: CitiRetail, Stevenage, Reino Unido
EUR 220,69
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Añadir al carritoPaperback. 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.
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 288,06
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Añadir al carritoPaperback. 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.
Librería: preigu, Osnabrück, Alemania
EUR 261,30
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Añadir al carritoTaschenbuch. 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.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 276,21
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.