Data-Driven Earth Observation for Disaster Management (eBook, ePUB)
From Theory to Practical Applications
Redaktion: Huang, Xiao; Tsatsaris, Andreas; Kalogeropoulos, Kleomenis; Wang, Siqin
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Data-Driven Earth Observation for Disaster Management: From Theory to Practical Applications delves into the critical role of Earth observation data and technologies in predicting, managing, and mitigating a spectrum of disasters. With a multidisciplinary approach encompassing geography and geospatial science, the book addresses the challenges of comprehending and managing disasters in our rapidly changing world. Offering solutions through insights into early detection, prediction, management, and prevention, it provides strategies for understanding Earth surface changes and the application of...
Data-Driven Earth Observation for Disaster Management: From Theory to Practical Applications delves into the critical role of Earth observation data and technologies in predicting, managing, and mitigating a spectrum of disasters. With a multidisciplinary approach encompassing geography and geospatial science, the book addresses the challenges of comprehending and managing disasters in our rapidly changing world. Offering solutions through insights into early detection, prediction, management, and prevention, it provides strategies for understanding Earth surface changes and the application of Earth Observation technologies. Readers will gain understanding on how to use Earth observation data and techniques in studying different domains of disaster management.Chapters follow a consistent format, featuring introductory summaries, key takeaways, and a focus on the role of Earth observation, enhancing both comprehensibility and searchability. The book also includes case studies and practical applications of Earth observation technologies, providing context and demonstrating the tangible impact of the techniques covered. - Provides a systematic and holistic understanding of how to use Earth observation data and techniques in disaster management - Includes empirical research examples and case studies to better emphasize theoretical concepts via real-world examples - Utilizes sharable data and workflows in analytical contexts so that techniques and examples presented can be practically replicated
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