Quantitative Geomorphology in the Artificial intelligence Era: Applications of AI for Earth and Environmental Change - Softcover

Softcover

ISBN 10: 0443300364 ISBN 13: 9780443300363

Verlag: Elsevier, 2025

Inhaltsangabe

Quantitative Geomorphology in the Artificial Intelligence Era: Applications of AI for Earth and Environmental Change focuses on bridging the gaps in this emerging discipline, it delves into the complex interplay between landforms and the processes that shape them, offering innovative solutions through AI and data-driven methods. The book addresses the standards, quality assessment of data, spatial and temporal analysis tools, and rigorous validation techniques in geomorphology. It uses computational intelligence as a pivotal tool alongside GIS, remote sensing, and other advanced technologies. Readers will find a holistic resource that fosters collaboration and knowledge exchange among geological fields, aiming to address geomorphological challenges, hazards, and solutions. By harnessing AI, GIS, remote sensing, machine learning, and geophysical techniques, it offers new dimensions to existing assessment methods and techniques.

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Über die Autorinnen und Autoren

Hamid Reza Pourghasemi is a Professor of watershed management engineering in the College of Agriculture, Shiraz University, Iran. His main research interests are GIS-based spatial modelling using machine learning/data mining techniques in different fields such as landslides, floods, gully erosion, forest fires, land subsidence, species distribution modelling, and groundwater/hydrology. Professor Pourghasemi also works on multi-criteria decision-making methods in natural resources and environmental science. He has published over 230 peer-reviewed papers in high-quality journals, is an active reviewer for over 90 international journals, and has led numerous edited books. He was also selected as one of the five young scientists under 40 by The World Academy of Science (TWAS 2019).

Narges Kariminejad is a geomorphologist with about 10 years of work experience in field and laboratory-based soil erosion research in arid and semi-arid environments. She is also currently a researcher at the Department of Natural Resources and Environment Engineering in the College of Agriculture at Shiraz University, in Iran. Her research interests are in soil erosion, especially in rill, soil piping, and gully erosion. She has served as a guest scientist or visiting researcher at various research institutes and universities in different countries all over the world. Dr. Kariminejad has been a guest lecturer in difference courses, including quantitative geomorphology, spatial analysis and satellite imagery, plant ecology, and geostatistics. She has published more than 20 papers in international scientific journals.

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Quantitative Geomorphology in the Artificial Intelligence Era focuses on bridging the gaps in this emerging discipline, it delves into the complex interplay between landforms and the processes that shape them, offering innovative solutions through AI and data-driven methods. The book addresses the standards, quality assessment of data, spatial and temporal analysis tools, and rigorous validation techniques in geomorphology. It uses computational intelligence as a pivotal tool alongside GIS, remote sensing, and other advanced technologies. Readers will find a holistic resource that fosters collaboration and knowledge exchange among geological fields, aiming to address geomorphological challenges, hazards, and solutions. By harnessing AI, GIS, remote sensing, machine learning, and geophysical techniques, it offers new dimensions to existing assessment methods and techniques.

Details zur Ausgabe

• Verlag: Elsevier
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 0443300364
• ISBN 13: 9780443300363
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 558
• Herausgeber: Pourghasemi
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