Geomatics

Machine Learning for Iceberg Stability: Ground Imagery and Logistic Regression Offer New Practical Insights

Artificial Intelligence, Computer Science, Data Science, Engineering, Geomatics, MSc Thesis / Leave a Comment

Analyzing thousands of icebergs captured in time-lapse footage from Alaska and Greenland, this research demonstrates that logistic regression applied to visible width and height can help estimate the probability of instability providing engineers with a foundational, field-derived method for assessing capsize risk in Arctic coastal environments. The Challenge of Iceberg Capsize in Arctic Waters Iceberg […]

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Monitoring Amsterdams Bridges with InSAR

Civil Engineering, Data Science, Engineering, Geomatics, Infrastructure, Journal publication / Leave a Comment

A structured Delft–Amsterdam research collaboration integrates bridge typologies, expected failure mechanisms, and satellite viewing geometry to translate one-dimensional MT-InSAR measurements into practical damage indicators, demonstrating how regional-scale millimetre-level displacement data can support systematic structural evaluation of urban bridge networks. The Urban Bridge Monitoring Dilemma Across Europe and beyond, bridge networks are aging under increasing traffic

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Low-Cost SFCW Radar Platform Advances Sub-Daily Environmental Monitoring

Data Science, Geomatics, Journal publication / Leave a Comment

Researchers have developed an affordable tower-mounted SFCW radar built around a compact SDR-based VNA and enhanced RF front end. Operating in L- and C-bands with dual polarization, the system captures high-temporal-resolution microwave data on soil, vegetation, and snow processes—directly addressing the temporal gaps that limit satellite observations of rapid Earth system dynamics. The Challenge of

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UAV Airspeed Estimation using Propeller Feedback

Data Science, Geomatics, Mechanical Engineering / Leave a Comment

Researchers at Delft University of Technology have developed an analytical model that estimates fixed-wing UAV airspeed using only propeller power and rotational speed feedback from standard electronic speed controllers. This computationally efficient, model-free solution provides a practical alternative or redundancy to conventional Pitot tubes, achieving strong accuracy on real flight data.  The Challenge of Reliable

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Volumetric Disentanglement: A Practical Path to Object-Level Editing in NeRF Scenes

Computer Science, Data Science, Geomatics, Uncategorized / Leave a Comment

Neural Radiance Fields (NeRFs) have changed how engineers think about 3D capture. With a modest set of photos, you can reconstruct impressively photorealistic 3D scenes. For many teams, that alone feels like magic. But then comes the real-world question: How do you edit those scenes? Remove a chair. Enlarge a TV. Swap out a tree

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Machine Learning Meets Soil Dynamics

Artificial Intelligence, Computer Science, Data Science, Engineering, Geomatics, Journal publication / Leave a Comment

A data-driven review shows how modern machine-learning models consistently outperform traditional empirical equations in predicting soil shear modulus and damping ratio, offering geotechnical engineers a clearer, more efficient path to characterizing dynamic soil behavior while highlighting practical limitations, data requirements, and future research needs. Why Soil Dynamics Still Challenge Engineers Accurate characterization of soil dynamic

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Advancing 3D Land Administration with Point Clouds

Artificial Intelligence, Computer Science, Data Science, Engineering, Geomatics, Journal publication / Leave a Comment

Discover how researchers are transforming urban land administration by integrating cadastral floor plans with nationwide airborne LiDAR to create detailed 3D point clouds, offering a cost-effective alternative to BIM for visualizing legal property boundaries in complex vertical structures—paving the way for scalable digital twins. The Challenge of Vertical Urbanization in Land Administration Urban areas are

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Shanghai’s 30-Year Land Subsidence Evolution

Artificial Intelligence, Computer Science, Data Science, Engineering, Geomatics, Journal publication / Leave a Comment

Dive into Shanghai’s sinking secrets: This study fuses 30 years of multi-sensor satellite data with AI modeling to map subsidence shifts from urban cores to coastal zones, revealing how groundwater management curbs rates and offers strategies for flood-resilient cities. The Subsidence Challenge Land subsidence in coastal megacities like Shanghai endangers infrastructure, increases flood risks, and

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Advancing Antarctic Ice Sheet Projections with Bedrock Modeling

Data Science, Engineering, Geomatics, Journal publication, Uncategorized / Leave a Comment

New research reveals how smarter, streamlined bedrock modeling can closely match complex 3D simulations, transforming Antarctic ice-sheet forecasts. By boosting speed without sacrificing accuracy, it sharpens sea-level rise predictions, empowers larger climate ensembles, and equips planners worldwide with clearer insights for coastal futures ahead today. A Serious Issue Antarctic ice melt contributes to sea-level rise,

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Indoor Positioning Using Augmented Reality

Computer Science, Data Science, Geomatics, MSc Thesis / Leave a Comment

Imagine stepping into a smoke-filled building during an emergency, where every second counts and traditional navigation fails—yet augmented reality glasses reveal your precise location on a digital floor plan, guiding rescuers to safety. In his 2020 MSc thesis, Laurens Oostwegel pioneered a solution using the Microsoft HoloLens to combat SLAM’s drift errors through continuous spatial

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