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, droughts, and 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.
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.
1. Spatial Intelligence in Hydrometeorological hazard context
2. Future hazard scenarios using climate models (CMIP-6)
3. Impact of climate change on landslide types
4. Landslide Modelling in a Changing Climate
5. Landslide Risk
6. Linkage between drought and climate change
7. Analyzing spatio-temporal droughts using next-gen geostationary satellites
8. Drought Forecasting using Advanced Machine Learning Techniques
9. Quantifying soil erosion impacts due to future climate scenario
10. Flood Modelling using Explainable AI models
11. Flood Mitigation Strategies in a Changing Climate
12. Climate Change and Heat Events
13. Flash Droughts
14. Ethical and Societal Implications of Machine Learning in Climate Hazards
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