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Hamid Reza Pourghasemi, Narges Kariminejad - Quantitative Geomorphology in the Artificial intelligence Era, Häftad

Häftad, Engelska, 2025

Quantitative Geomorphology in the Artificial intelligence Era

Applications of AI for Earth and Environmental Change

Av Hamid Reza Pourghasemi, Narges Kariminejad

1766 kr

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Beskrivning
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.

  • Applies quantitative geomorphology techniques to different geological topics through interdisciplinary practices
  • Addresses the use of high and very-high resolution satellite imagery in geomorphic research for monitoring and assessment of quantitative geomorphology
  • Provides guidance on quantitative techniques for assessing anthropogenic influences on natural materials and Earth processes
Produktinformation
  • Utgivningsdatum: 2025-12-09
  • Mått: 191 x 235 x 31 mm
  • Vikt: 450 g
  • Format: Häftad
  • Språk: Engelska
  • Antal sidor: 558
  • Förlag: Elsevier Science
  • ISBN: 9780443300363
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Mer om författaren

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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