Spatial Intelligence for Hydrometeorological Hazards in a Changing Climate

· ·
· Elsevier
Ebook
220
Pages
Eligible
This book will become available on July 1, 2025. You will not be charged until it is released.

About this ebook

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. - 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 that facilitate the hands-on implementation of advanced machine learning algorithms

About the author

Biswajeet Pradhan is a distinguished professor at UTS School of Civil and Environmental Engineering. He is an international expert in data-driven modelling and a pioneer in combining spatial modelling with statistical and machine learning models for natural hazard predictions including landslides. He has a track record of outstanding research outputs, with over 600 journal articles. He is a highly interdisciplinary researcher with publications across 12 areas, listed as having ‘Excellent’ international collaboration status. He has been a Highly Cited Researcher for five consecutive years (2016-2020) and ranks fifth in the field of Geological & Geoenvironmental Engineering.

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.

Dr. Abhirup Dikshit is a geospatial ecohydrologist using advanced remote sensing tools and machine learning models to monitor vegetation health and function in the face of climate change, land use, and other major disturbance events. He has published more than 30 articles and was awarded the International Research Training Program (IRTP) scholarship funded by the Australian Government under Department of Education and Training to pursue my doctoral studies in Australia.

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