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Herausgeber: 
  • Martin Kappas
  • Lavanya Sharma
  • P. K. Garg
  • Digital Twin Technology in Geospatial Science: Trends, Applications and Challenges 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Mai 2026  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / Bildverarbeitung / Computational Intelligence / Computer Imaging, Vision, Pattern Recognition and Graphics / Computer Vision / Computernetzwerke und maschinelle Kommunikation / Deep Learning / Digital Twins
    ISBN:  9783032203106 
    EAN-Code: 
    9783032203106 
    Verlag:  Springer International Publishing 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  252 
    Illustration:  VIII, 252 p. 95 illus., 51 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book explores utilization of digital twin technology and geospatial science for the digital transformation of urban planning, environmental monitoring, infrastructure, and disaster response using a series of present tools of data collection and applications. It covers transformational impact of digital twins, from their origin to their real-time applications in various domains. It presents real-time case studies focusing on real-world outcomes while addressing the potential risks. It also covers challenging issues related to geospatial twin technology and its solutions to handle relevant challenges. This book comprises several chapters that provide an overview of basic concepts from historical background and architecture twin technology with geospatial data, highlighting its capabilities for modeling, simulation, and optimizing complex systems. It also investigates the technical and ethical barriers to the widespread adoption of digital twin technology in geospatial science. It is a valuable source for students, engineers, professionals, researchers as well as organizations.

      



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