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.