Climate Extremes and Emerging Solutions: Data-Driven Insights and Geospatial Techniques

Poonia, Vikas; Swarnkar, Somil; Munoth, Priyamitra

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.

Details

Published by: Springer

Publication Date: 2026-02-17

Format: Hardcover

ISBN-13: 9783032144560

DOI: 10.1007/978-3-032-14457-7

Dimensions: 235cm x155cm

Pages: 449