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商品詳細
Climate Extremes and Emerging Solutions: Data-Driven Insights and Geospatial Techniques.
・ISBN 978-3-032-14456-0 hard EUR 199.99
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お気に入り
★★★
| 著者・編者 | Poonia, Vikas / Swarnkar, Somil / Munoth, Priyamitra (eds.), |
|---|---|
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 449 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-8850＞ |
解説
In this book, the authors discuss the different climate events, extreme events, compound extreme events, use of AI/ML, GIS and remote sensing. This important resource:
- Explore the mechanisms, drivers, and impacts of climate extremes and compound events in the context of climate change.
- Understand the cascading effects of extreme events across environmental and socio-economic sectors.
- Learn how geospatial data, remote sensing, and GIS contribute to hazard detection and risk assessment.
- Examine the integration of statistical analysis, machine learning, and AI in predictive modeling and disaster mitigation.
- Study emerging climate risks such as flash droughts, compound flooding, and compound drought and heatwave (CDHW) events.
- Review case studies highlighting recent research, real-world impacts, and disaster response challenges.
- Gain insights to inform policy development, adaptation strategies, and climate resilience planning.
Written for scientists and researchers, academics and students, Climate Extremes and Emerging Solutions: Data-Driven Insights and Geospatial Techniques is a comprehensive book that covers the basic knowledge of the topic combined with practical applications.