Geographies of cycling
This research delves into the nuanced behaviors of city-bike users in Trondheim, Norway, revealing how infrastructure and environmental factors influence cycling patterns.
Geographies of cycling Read More »
This research delves into the nuanced behaviors of city-bike users in Trondheim, Norway, revealing how infrastructure and environmental factors influence cycling patterns.
Geographies of cycling Read More »
As Arctic maritime activity rises, effective risk management becomes crucial. This study presents a data-driven framework to analyze trends and factors influencing maritime accidents, focusing on their severity and pollution.
Arctic Shipping Risk Management Read More »
Researchers have introduced a novel ensemble learning framework utilizing UAV imagery and soil auxiliary data to enhance soil salinity estimation.
Soil Salinity Estimation with UAV data Read More »
SELVABOX, the largest open-access dataset for tropical tree crown detection, spans three countries and includes over 83,000 manually labeled crowns.
Tropical Tree Detection Dataset Read More »
This study explores enhancing real-time precise point positioning (RT-PPP) using predicted orbits and clocks from multiple Global Navigation Satellite Systems (GNSS).
RT-PPP Accuracy with GNSS Clocks Read More »
Researchers have developed a LiDAR intensity-enhanced 3D object detection method, improving accuracy in complex marine environments.
Lidar object detection for Safer Maritime Navigation Read More »
Explore how sequential classifiers enhance urban land use change modeling, achieving high accuracy and thematic depth.
Urban Land Use Models with Sequential Classifiers Read More »
Researchers explore triple-frequency signals from GPS, Galileo, and BeiDou to enhance precise point positioning (PPP).
Precise Point Positioning with Triple-Frequency GNSS Read More »
Exploring the integration of GNSS-derived tropospheric gradients with zenith total delays in weather forecasting models, this study examines both sparse and dense station networks.
Enhancing Weather Forecasts with GNSS Tropospheric Gradients Read More »
Researchers utilize machine learning to model forest fire susceptibility in Brandenburg, Germany, analyzing current and future scenarios.
Modeling Forest Fire Susceptibility Read More »