Academic Scope
This sub-session focuses on real-time geospatial monitoring systems and digital twin technologies that enable dynamic representation and analysis of physical environments. Advances in sensor networks, data streaming technologies, and computational modeling have created new opportunities for continuous monitoring and predictive system management.
The sub-session welcomes contributions related to real-time monitoring, sensor integration, digital twin frameworks, spatial simulation, and predictive modeling. Applications involving environmental systems, infrastructure monitoring, urban management, and resource operations are particularly encouraged.
The session aims to explore how real-time geospatial intelligence can improve situational awareness, operational efficiency, and evidence-based decision-making across a wide range of applications.
Session Metadata
Target audience: Researchers in geodesy, GIS, remote sensing, and Geo-AI Engineers and practitioners in geospatial systems Data scientists and AI specialists Government and policy stakeholders Industry professionals and technology providers Graduate students and early-career researchers
Recommended Contributions
Original research, case studies, applied methodological papers, and evidence-based perspectives aligned with the scope of this sub-session.
Author Guidance
Abstracts should be submitted in English (250–300 words), clearly linked to this sub-session code, and should state objective, methodology, key results, and relevance.
Review Fit
Submissions should demonstrate scientific relevance, originality, methodological quality, clarity, and alignment with the session theme.
Fees & Bank Transfer
Use the details below to transfer your registration fee. After transferring, log in and confirm the payment on your submission page — the secretariat will verify the receipt.
- Bank
- ГОЛОМТ
- Account #
47001 500 8115007020- Holder
- ШУТИС ГУУС
- Currency
- USD
