Digital Twins and Geospatial Technologies: Trends and Developments

Dear Colleagues,

The contents of this Special Issue reflect the growing convergence between digital twins and a broad spectrum of applications where geospatial technologies play a pivotal role. After considerable efforts and research, we have observed a compelling synergy between traditional and emerging technologies, paving the way for groundbreaking advancements within the digital twin ecosystem.

A digital twin ideally serves as an accurate virtual representation of a physical object, system, or process—behaving like its real-world counterpart by integrating advanced technologies that enable it to sense, think, and act in real time. Core technologies that underpin a digital twin typically include IoT for gathering real-time data through sensors and devices; AI and ML for data analytics, pattern recognition, comprehensive detection, and optimization; and AR/VR for immersive experiences.

Geospatial technologies are crucial not only in developing a digital twin—through mapping techniques such as photogrammetry and LiDAR—but also in enhancing its capabilities, particularly when spatial context, environment, or location-specific data are essential. Significant developments are emerging in diverse fields including smart cities and mobility, cultural heritage, tourism, construction, architectural design, urban planning, real estate, training and education, recreation, serious gaming, and digital environments in the metaverse era.

Prof. Dr. Konstantinos Evangelidis
Dr. Stella Sylaiou
Guest Editors

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