Digital Twin Technology in Geospatial Science: Trends, Applications and Challenges
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Beschreibung
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 the 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 the 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.
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.
Provides an overview of basic concepts of Geospatial and Twin Technology and its architecture Presents case studies on real-time applications in agriculture, infrastructure, and climate monitoring Discusses various technical challenges such as data quality, integrity, scalability, and other open challenges
Autor*in
Lavanya Sharma
Themen in »Digital Twin Technology in Geospatial Science: Trends, Applications and Challenges«
Digital Twins Computer Vision Machine Learning Deep Learning