Da: Majestic Books, Hounslow, Regno Unito
EUR 172,34
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 193,24
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 200,47
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 236,25
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Lingua: Inglese
Editore: Elsevier - Health Sciences Division, US, 2025
ISBN 10: 0443267227 ISBN 13: 9780443267222
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 244,02
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Aggiungi al carrelloPaperback. Condizione: New. Drought and the condition of water scarcity lead to several socio-economic, social and environmental impacts. Whatever the approaches of drought management, policymakers and planners require novel methods to analyze data and model drought processes and its connection with water scarcity. In recent years, artificial intelligence-based and earth observation approaches have been progressively developed and applied in domain of water-related disasters. The target of this book is to present new advances and achievements in the fields of drought monitoring, analyzing, and modeling using artificial intelligence algorithms (e.g., machine learning, deep learning, etc.), statistical indices, and a diverse range of satellite remote sensing and geo-spatial data sets. Water Scarcity Management: Towards the Application of Artificial Intelligence and Earth Observation Data will help students gain knowledge on drought prediction using new free-access earth observation data and machine learning models. It will also guide scientists, researchers, and urban planners with the monitoring of water resources and key elements of hydrological cycle.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 235,89
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EUR 214,90
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Aggiungi al carrelloCondizione: New. Covers application of a range of diverse artificial intelligence algorithms for spatial modeling of drought susceptibilityIncludes real case studies from large geographical areasOffers earth observation satellite data for spatio-te.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division, US, 2025
ISBN 10: 0443267227 ISBN 13: 9780443267222
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 248,25
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Drought and the condition of water scarcity lead to several socio-economic, social and environmental impacts. Whatever the approaches of drought management, policymakers and planners require novel methods to analyze data and model drought processes and its connection with water scarcity. In recent years, artificial intelligence-based and earth observation approaches have been progressively developed and applied in domain of water-related disasters. The target of this book is to present new advances and achievements in the fields of drought monitoring, analyzing, and modeling using artificial intelligence algorithms (e.g., machine learning, deep learning, etc.), statistical indices, and a diverse range of satellite remote sensing and geo-spatial data sets. Water Scarcity Management: Towards the Application of Artificial Intelligence and Earth Observation Data will help students gain knowledge on drought prediction using new free-access earth observation data and machine learning models. It will also guide scientists, researchers, and urban planners with the monitoring of water resources and key elements of hydrological cycle.
Da: Revaluation Books, Exeter, Regno Unito
EUR 289,06
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Aggiungi al carrelloPaperback. Condizione: Brand New. 320 pages. 9.25x7.50x10.87 inches. In Stock.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 300,56
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Drought and the condition of water scarcity lead to several socio-economic, social and environmental impacts. Whatever the approaches of drought management, policymakers and planners require novel methods to analyze data and model drought processes and its connection with water scarcity. In recent years, artificial intelligence-based and earth observation approaches have been progressively developed and applied in domain of water-related disasters. The target of this book is to present new advances and achievements in the fields of drought monitoring, analyzing, and modeling using artificial intelligence algorithms (e.g., machine learning, deep learning, etc.), statistical indices, and a diverse range of satellite remote sensing and geo-spatial data sets. Water Scarcity Management: Towards the Application of Artificial Intelligence and Earth Observation Data will help students gain knowledge on drought prediction using new free-access earth observation data and machine learning models. It will also guide scientists, researchers, and urban planners with the monitoring of water resources and key elements of hydrological cycle.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443267227 ISBN 13: 9780443267222
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Water Scarcity Management: Towards the application of artificial intelligence and earth observation data This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division, 2025
ISBN 10: 0443267227 ISBN 13: 9780443267222
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 153,91
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Da: Revaluation Books, Exeter, Regno Unito
EUR 175,05
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 320 pages. 9.25x7.50x10.87 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443267227 ISBN 13: 9780443267222
Da: CitiRetail, Stevenage, Regno Unito
EUR 169,26
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Drought and the condition of water scarcity lead to several socio-economic, social and environmental impacts. Whatever the approaches of drought management, policymakers and planners require novel methods to analyze data and model drought processes and its connection with water scarcity. In recent years, artificial intelligence-based and earth observation approaches have been progressively developed and applied in domain of water-related disasters. The target of this book is to present new advances and achievements in the fields of drought monitoring, analyzing, and modeling using artificial intelligence algorithms (e.g., machine learning, deep learning, etc.), statistical indices, and a diverse range of satellite remote sensing and geo-spatial data sets. Water Scarcity Management: Towards the Application of Artificial Intelligence and Earth Observation Data will help students gain knowledge on drought prediction using new free-access earth observation data and machine learning models. It will also guide scientists, researchers, and urban planners with the monitoring of water resources and key elements of hydrological cycle. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.