DEM Resolution with RRDPM
The RRDPM model improves digital elevation model resolution, enhancing detail recovery for land and seabed regions for scientific applications.
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Seismic Risk in Italy’s Historic Centers
A multidisciplinary model integrates geomatics and urban planning to protect Fiumefreddo Bruzio’s cultural heritage from seismic threats.
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Deep Learning for Pavement Damage Detection
Researchers have developed a deep learning-based methodology for detecting and evaluating pavement surface damage. This approach enhances road safety and maintenance strategies by providing accurate, scalable, and objective assessments of pavement conditions.
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Satellite Data for Soil Erosion Control in West Africa
This research addresses the disconnect between satellite data and policy-making in West Africa. It introduces advanced Earth observation techniques for soil erosion monitoring and outlines a strategic pathway to integrate these insights into national frameworks, supporting efforts to achieve Land Degradation Neutrality by 2030.
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longitudinal assessment of urban flood hazard
A new framework georeferences historical flood maps, aiding flood hazard analysis and informing urban planning and policy decisions.
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GNSS for Water Vapor Measurement
This study improves GNSS-based meteorology by refining atmospheric temperature models, enhancing water vapor measurement accuracy.
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River Floc Dynamics with 3D X-ray Microtomography
Researchers from Delft University and Queen Mary University explore river floc dynamics for sediment management in aquatic environments.
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Smartphone Data Unlocks Urban Mobility Insights
Researchers explore urban travel patterns using smartphone data, offering insights for future transportation policies and urban mobility needs.
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MaaS Adoption Strategies for Urban Mobility
This study delves into Mobility as a Service (MaaS) adoption across varied global contexts, emphasizing the need for tailored strategies.
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Electric Bus Charging for Urban Sustainability
Delft University of Technology presents a framework integrating traffic and power grid simulations to evaluate the impact of electric bus opportunity charging.
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