9798337388724 - earth observation and deep learning for coastal monitoring, mapping, and management (7 resultados)
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Hardcover. Condición: new. Hardcover. 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, a…nd 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.
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Hardcover. Condición: new. Hardcover. 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, a…nd 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.
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Librería: preigu, Osnabrück, Alemaniapreigu
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Buch. Condición: Neu. Earth Observation and Deep Learning for Coastal Monitoring, Mapping, and Management | Uzair Bhatti (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337388724 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: prei…gu Print on Demand.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. 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, accurat…e 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.
