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

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.

Chapter 1. Forest Fire Risk Zonation in Relation to Environmental and Vegetation Health Indicators. - Chapter 2. Impact of Heatwaves on Human Heat Stress and Thermal Discomfort in the Smart Cities of Madhya Pradesh. - Chapter 3. Performance Assessment and Ranking of CMIP6 Climate Models for Minimum and Maximum Temperatures on the Western Coastline of India. - Chapter 4. Univariate and Multivariate Analysis of Major Drought Types over Mahanadi and Godavari River Basins in Central India. - chapter 5. Optimization of multi reservation operating policy using advanced optimization techniques. - Chapter 6. Comparative Study of Downscaling Methods: Distribution Mapping vs Quantile Mapping for Rainfall and Temperature Data over Central India. - Chapter 7. Integrating satellite data, modeling, and citizen science to derive critical insights into urban dynamics. - Chapter 8. Earth Observation Data for Understanding Historical Hydroclimatic Extremes and Infrastructure Evolution in the Hindu Kush Himalaya. - Chapter 9. Data-Driven Groundwater Flow Modelling Using Advanced Technologies for Sustainable Aquifer Management. - Chapter 10. Linking Climate Extremes and Vegetation Dynamics: A Study of Compound Events in Bhopal District, Central India. - Chapter 11. AI-Driven Approaches to Understanding and Predicting Extreme Climate Events. - Chapter 12. Analysing the Effects of LULC Changes on Land Surface Temperature-A Case Study of Bhopal City. - Chapter 13. Identification of Rainfall Induced Erosion Hotspots Using RUSLE and Geospatial Techniques: Case Study of Upper Krishna River Sub-Basin. - Chapter 14. Assessing Monsoon Wet and Dry Spells under Changing Climate Scenarios: A Case Study of the Upper Krishna River Sub-Basin. - Chapter 15. Drought Projection Assessment based on CMIP5 climate models in Banas River basin. - Chapter 16. Application of GIS & Remote Sensing in Precision Agriculture system. - Chapter 17. Deciphering future flood potential through ensemble climate change modelling in lower Gangetic floodplain region. - Chapter 18. Multi-Temporal Analysis of Coastline Dynamics Using Moderate and High-Resolution Satellite Imagery: A Case Study of Karnataka Coast, India. - Chapter 19. Prediction of Monthly Rainfall Using Different Machine Learning Techniques in Semi-Arid Region of Rajasthan State, India. - Chapter 20. From Satellite to Streams: A Review of River Observability in the SWOT Era. - chapter 21. Climate Change Impact Assessment Using CMIP-6 Data on Hydrological Components of the Upper Tapi Sub-Basin, India. - Chapter 22. Estimation of Reservoir Sedimentation Using Satellite Images.