Spatial Intelligence for Hydrometeorological Hazards in a Changing Climate

Spatial Intelligence for Hydrometeorological Hazards in a Changing Climate explores the intersection of advanced machine learning techniques and the intricate challenges posed by shifting hydrometeorological patterns. This comprehensive guide navigates readers through a diverse landscape of topics, ranging from data-driven models for early prediction of floods, landslides, soil erosion, heat waves and droughts to novel approaches for assessing the impacts of extreme weather events on ecosystems and societies. Through real-world case studies and practical examples, the book demystifies complex algorithms and equips readers with the skills to harness the power of machine learning in understanding, predicting, and mitigating hydrometeorological hazards. Whether you are a researcher, practitioner, or enthusiast, this book empowers you to leverage cutting-edge technology to address the urgent and evolving threats of a changing climate.

• Contains detailed case studies for mastering machine learning techniques in order to address specific climate hazard challenges
• Provides an interdisciplinary approach by blending spatial based machine learning with hydrometeorological science, to enhance hazard prediction accuracy
• Includes step-by-step instructions and code samples, facilitating hands-on implementation of advanced machine learning algorithms