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

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

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Format: PDF DRM: Wasserzeichen 53.6 MB

Beschreibung

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.

Produktdetails

ISBN 9783032144577
Verlag Springer Nature Switzerland
Erscheinungsdatum 16.02.2026
Sprache Englisch
Mitwirkende Vikas Poonia (Herausgeber/in), Somil Swarnkar (Herausgeber/in), Priyamitra Munoth (Herausgeber/in)