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Technical programme

02Days 19Hours 44Minutes 00Seconds
Monitoring_2026_TP

TOPICS OF THE CONFERENCE

Modern Geophysical and Geological Monitoring Technologies

Observation systems and methods for monitoring seismicity, geophysical fields, deformation processes, and geological environment dynamics using ground-based and integrated monitoring networks.

Environmental Monitoring of Air, Water, and Soil

Monitoring of pollutants in atmospheric air and precipitation, surface and groundwater, soil contamination, anthropogenic sources of emissions, and environmental conditions of natural and protected areas.

Geohazards: Monitoring, Forecasting, Mitigation

Methods and approaches to monitoring, modelling, and analysis of geohazards, assessment of their impact on infrastructure and territories, forecasting of hazardous processes, and development of risk mitigation measures.

Remote Sensing, UAV, and Geospatial Data Analytics

Satellite and UAV-based monitoring of geological, environmental, and anthropogenic objects and processes, geospatial data processing, spatial analysis, mapping, and visualization.

Environmental and Economic Risk Monitoring

Monitoring, modelling, and forecasting of environmental and economic risks related to natural and anthropogenic processes, assessment of potential damage, decision-support tools, and risk-oriented environmental management.

War Impact Monitoring & UXO Detection Technologies

Monitoring, mapping, and assessment of war-related damage to the geological environment and ecosystems, detection of UXO and mine contamination using geophysical, remote sensing, and geospatial monitoring technologies.

Monitoring for Energy Transition and Decarbonization Projects

Geophysical, geochemical, and environmental monitoring of energy transition projects, including CCS/CCUS, geothermal systems, and underground energy storage.

Digital Monitoring Technologies, Data Integration and AI in Geosciences

Digital platforms, automated monitoring systems, integration of multi-source data, artificial intelligence, and machine learning methods for analysis, interpretation, and forecasting of geological and environmental processes