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Publicado por Elsevier - Health Sciences Division, 2025
ISBN 10: 0443292167 ISBN 13: 9780443292163
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Publicado por Springer, Springer International Publishing, 2026
ISBN 10: 3031980948 ISBN 13: 9783031980947
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents analysis of data analytics and remote sensing which are two powerful tools that can be used to support sustainable development. Remote sensing involves the use of sensors to gather data about the environment from a distance, while data analytics refers to the use of statistical and computational techniques to extract insights and patterns from large datasets. Sustainable development and remote sensing are used to monitor changes in the environment, such as deforestation, land use change, and water quality. This information is analyzed using data analytics to identify trends and patterns and to develop strategies for sustainable development. Remote sensing is used to monitor the health of forests, and data analytics is used to identify areas where deforestation is particularly high. This information is then used to develop targeted strategies for reducing deforestation, such as promoting sustainable forestry practices or supporting reforestation efforts. It is alsoused to monitor water quality, and data analytics is used to identify sources of pollution and to develop strategies for improving water quality. This information is particularly important in developing countries, where access to clean water is often a major challenge. Furthermore, data analytics and remote sensing are powerful tools for supporting sustainable development. By gathering and analyzing data about the environment, authors better understand the challenges they face and develop effective strategies for addressing them.
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Añadir al carritoCondición: New. Discusses the intersection between climate change, natural disasters, and how geospatial solutions can provide much-needed solutionsAnalyzes how satellite imagery, GIS data, and remote sensing can enable more effective risk assessment, vuln.
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Publicado por Springer, Palgrave Macmillan, 2025
ISBN 10: 9819515874 ISBN 13: 9789819515875
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited volume highlights the importance of Artificial Intelligence (AI) and Machine Learning (ML) being utilised in climate disaster management to enhance preparedness, response, recovery, and mitigation efforts. The integration of AI and ML technologies with climate disaster management greatly improves decision-making, resource allocation, and overall effectiveness in addressing the impacts of climate-related disasters. It serves as a comprehensive guide to harnessing the power of geospatial information and services for climate-resilient disaster management.This book is a timely exploration of how cutting-edge technology can shape our response to climate-related disasters. The book embarks on a journey through the intricate web of geospatial data, uncovering its indispensable role in disaster preparedness, response, and recovery. Several ways in which AI and ML are being applied comprise Early Warning Systems, Disaster Response Planning, Damage Assessment, Risk Assessment and Vulnerability Mapping, Climate Modeling and Simulation, Resilience and Adaptation Strategies, Satellite Imagery for Disaster Response, Vulnerability Mapping and Resilience Planning, Data Integration in Emergency Response, Climate Adaptation Policies, among many others. Real-world case studies and practical insights illustrate how geospatial technology empowers early warning systems, enhances risk assessment, and streamlines resource allocation. It delves into the nuances of climate adaptation planning, shedding light on innovative strategies for building resilient communities and infrastructure.This book will serve as an invaluable resource for policymakers, disaster managers, researchers, and anyone concerned with safeguarding communities against climate-related disasters.
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Añadir al carritoHardcover. Condición: Brand New. 230 pages. 9.26x6.11x9.21 inches. In Stock.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division Nov 2025, 2025
ISBN 10: 0443292167 ISBN 13: 9780443292163
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 238,83
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Geospatial Information and Services for Climate Resilient Disaster Management explores how cutting-edge technology can shape our response to climate-related disasters. Leading experts uncover the indispensable role that geospatial information and services can play in disaster preparedness, response, and recovery. The book opens with an overview of climate resilient disaster management and the application of geospatial technology. The chapters next undertake a thorough examination of early warning systems, risk assessment, vulnerability mapping, resource allocation, and disaster response. Following from those vital tools and applications, the editors then evaluate climate adaptation planning and community engagement in the light of geospatial technology.The book wraps up with real-world case studies and success stories along with a discussion of current challenges and future trends. Readers concerned with the rising connections between natural disaster and climate change will be inspired by this inside view of the latest innovations in geospatial information and services.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, 2025
ISBN 10: 0443292167 ISBN 13: 9780443292163
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 126,58
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Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443292167 ISBN 13: 9780443292163
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Añadir al carritoPaperback. Condición: new. Paperback. Geospatial Information and Services for Climate Resilient Disaster Management 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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Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 325 pages. 9.00x6.00x9.02 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Springer, Berlin, Springer, 2026
ISBN 10: 3031980948 ISBN 13: 9783031980947
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 149,79
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents analysis of data analytics and remote sensing which are two powerful tools that can be used to support sustainable development. Remote sensing involves the use of sensors to gather data about the environment from a distance, while data analytics refers to the use of statistical and computational techniques to extract insights and patterns from large datasets. Sustainable development and remote sensing are used to monitor changes in the environment, such as deforestation, land use change, and water quality. This information is analyzed using data analytics to identify trends and patterns and to develop strategies for sustainable development. Remote sensing is used to monitor the health of forests, and data analytics is used to identify areas where deforestation is particularly high. This information is then used to develop targeted strategies for reducing deforestation, such as promoting sustainable forestry practices or supporting reforestation efforts. It is alsoused to monitor water quality, and data analytics is used to identify sources of pollution and to develop strategies for improving water quality. This information is particularly important in developing countries, where access to clean water is often a major challenge. Furthermore, data analytics and remote sensing are powerful tools for supporting sustainable development. By gathering and analyzing data about the environment, authors better understand the challenges they face and develop effective strategies for addressing them. 187 pp. Englisch.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443292167 ISBN 13: 9780443292163
Librería: CitiRetail, Stevenage, Reino Unido
EUR 140,06
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Añadir al carritoPaperback. Condición: new. Paperback. Geospatial Information and Services for Climate Resilient Disaster Management explores how cutting-edge technology can shape our response to climate-related disasters. Leading experts uncover the indispensable role that geospatial information and services can play in disaster preparedness, response, and recovery. The book opens with an overview of climate resilient disaster management and the application of geospatial technology. The chapters next undertake a thorough examination of early warning systems, risk assessment, vulnerability mapping, resource allocation, and disaster response. Following from those vital tools and applications, the editors then evaluate climate adaptation planning and community engagement in the light of geospatial technology.The book wraps up with real-world case studies and success stories along with a discussion of current challenges and future trends. Readers concerned with the rising connections between natural disaster and climate change will be inspired by this inside view of the latest innovations in geospatial information and services. 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: moluna, Greven, Alemania
EUR 127,40
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Librería: preigu, Osnabrück, Alemania
EUR 132,10
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Añadir al carritoBuch. Condición: Neu. Data Analytics and Remote Sensing-Based Analysis for Sustainable Development | Deepak Kumar (u. a.) | Buch | Advances in Science, Technology & Innovation | xxii | Englisch | 2026 | Springer | EAN 9783031980947 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.