Urban areas are under increasing pressure due to the economic, social, and environmental domains since the extraordinary rise in global urbanization, which is predicted to reach roughly 70% by 2050
This webinar explores the critical role of geospatial technologies in building and managing smart cities. Participants will gain insights into how GIS, photogrammetry, remote sensing
Climate change is altering atmospheric and oceanic patterns, significantly impacting cyclogenesis—the formation and development of tropical and extratropical cyclones. In arid and semi-arid regions of South Asia
Mobile Laser Scanning (MLS) systems have become an indispensable solution that has reached a high level of popularization in various fields, for instance, digital twinning, smart cities, engineering geodesy, 3D modeling, autonomous driving
This webinar will explore advanced techniques and tools for monitoring dust storms and aerosol distributions using remote sensing technologies
Recent advances in mobile mapping systems have been driven by rapid improvements in sensor technology and platform integration, enabling the efficient capture of high-resolution, multi-modal geospatial data at unprecedented spatial and temporal scales.
Hydro-geodesy is an interdisciplinary scientific discipline that employs geodetic methodologies, primarily satellite-based techniques, to investigate the dynamics of water movement and the resultant land surface oscillations.
Timely and reliable crop yield prediction is a critical component of early warning systems for drought and food security disasters, particularly in climate-vulnerable regions such as Afghanistan. The country is highly exposed to extreme weather events
Satellite Earth Observation (EO) can be used to detect, identify and measure parameters relevant to disaster risk management. This can help in different phases including disaster response and recovery and in other phases such as risk prevention and mitigation
Current oil spill emergency response protocols employ standardized, universal strategies that fail to account for critical environmental variations, particularly water temperature effects on oil weathering behaviour. This research addresses this operational gap through comparative
The presentation will touch down on how earth observation data is currently used to detect building damages following an earthquake event. It will focus on the use of damage detection deep learning algorithms with very high resolution
Earthquake-induced ground deformation and slow-moving geohazards such as subsidence and landslides pose significant risks across tectonically active and rapidly urbanizing regions. Through real case studies, the session will demonstrate how multi-temporal
