Quantitative Geomorphology in the Artificial intelligence Era

Applications of AI for Earth and Environmental Change
Artikelnummer: 978-0-443-30036-3
Einband: Kartonierter Einband (Kt)
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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.

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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VerlagElsevier
EinbandKartonierter Einband (Kt)
Erscheinungsjahr2025
Seitenangabe558 S.
AusgabekennzeichenEnglisch
MasseH23.5 cm x B19.1 cm 450 g
CoverlagElsevier - Health Sciences Division (Imprint/Brand)
AutorHamid Reza Pourghasemi (Hrsg.) / Kariminejad, Narges (Hrsg.)

Über den Autor Hamid Reza Pourghasemi (Hrsg.)

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).

Weitere Titel von Hamid Reza Pourghasemi (Hrsg.)

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