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Data-Driven Earth Observation for Disaster Management: From Theory to Practical Applications

Edited by Xiao Huang, Edited by Siqin Wang, Edited by Kleomenis Kalogeropoulos, Edited by Andreas Tsatsaris

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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 the Earth surface changes brought about by these disasters and the application of Earth Observation technologies. The chapters follow a consistent format, featuring introductory summaries, key takeaways, and a focus on the role of Earth observation, enhancing both comprehensibility and searchability. It also includes case studies and practical applications of Earth observation technologies, providing context and demonstrating the tangible impact of the techniques covered. Data-Driven Earth Observation for Disaster Management: From Theory to Practical Applications provides readers in geospatial science and technology with understanding of the integration of Earth Observation data and technology with disaster management. These readers will gain a holistic understanding of how to use Earth observation data and techniques in studying different domains of disaster management.

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