Description: 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.Brief description: Prof. Mahesh Kumar Jat holds B.E. in Civil Engineering (Hons.); M. E. (Water Resources Engineering) and Ph.D. (Integrated Water Resource Management) from IIT Roorkee. The major areas of his research are Integrated Water Resources Management; Hydrological modelling; Climate change, Remote Sensing and GIS Applications.