Inspired by fireflies, researchers have developed a visible light communication system for nano-drones, enabling efficient, low-power communication.
Nano-Drone Communication with Firefly-Inspired VLC Read More »
Additive manufacturing (AM) offers promising potential to enhance circular construction by enabling innovative design strategies.
Enhancing Circular Construction with Additive Manufacturing Read More »
In a recent study, researchers found that the September 2023 temperature jump was nearly impossible under standard anthropogenic forcing, revealing a complex interplay of feedbacks and forcings often underrepresented in models.
Unprecedented September 2023 Temperature Anomaly Challenges Climate Models Read More »
This study integrates chemical transport models with machine learning to create high-resolution maps of organic aerosol concentrations across Europe.
Aerosol Mapping in Europe Read More »
A study estimates the effects of Tradable Mobility Credits on Europe’s long-distance leisure travel, where emissions are capped by design and prices emerge from market equilibrium, resulting in a 20% demand reduction, air share dropping from 50% to 42%, and rail increasing from 23% to 32% under a 30% emission target. Emissions Challenge in Long-Distance
Tradable Mobility Credits for Travel in Europe Read More »
Data-Driven Approach to Quantify Agricultural Losses from Flooding Discover a method that combines Sentinel-2 satellite data, topographic information, and field surveys in a random forest model to classify flood damage in 412 agricultural fields, providing quantitative yield loss estimates for the 2023 Emilia-Romagna event and supporting effective compensation strategies in vulnerable areas. Flood Impacts on
Assessing Crop Flood Damage Using Sentinel-2 Read More »
Researchers propose a framework for managing multiple Levels of Detail in 3D city models using CityJSON versioning, with each LoD in a separate branch for independent updates to geometries and semantics, tested on Dutch building data to assess feasibility and maintenance implications. Challenges in Managing Multi-LoD 3D City Models 3D city models are essential in
Versioning for Multi-LoD 3D City Model Management Read More »
Dutch Study Integrates Sparse GPS and Traffic Signal Data to Double Model Fit in Estimating Average Bicycle Delays, Providing Insights for Traffic Management, Cycling Policy, and Infrastructure Development in Urban Environments Addressing Bicycle Delays in Urban Transportation Networks Bicycle use has increased in urban areas as a sustainable alternative to cars for short to medium
Machine Learning for Bicycle Delay Estimation Read More »
Probabilistic Assessment Reveals Escalating Damages from Rising Sea Levels This study evaluates coastal flood impacts on European road and rail networks across global warming scenarios, projecting baseline annual damages of €519 million rising potentially to €1,090 million at 4°C, with greater affected lengths for roads but higher costs for rails, signaling needs for targeted adaptation
Expected Annual Damage European Coastal Transport Infrastructure Under Global Warming Read More »
Researchers at TU Delft present a methodology to generate plausible 3D city models from scanned historical maps, using alignment, procedural modeling, and height inference to minimize manual work and support applications like population estimation, disease mapping, and spatial simulations for European cities between 1700 and 2000. Challenges in Historical 3D City Modeling and Their Significance
Reconstructing Historical 3D City Models from Maps Read More »
