Researchers have integrated mobile lidar technology and open-source tools to automate urban tree inventories. This approach enhances efficiency and affordability in mapping and measuring urban trees, which is crucial for environmental planning and ecosystem service assessment, offering significant benefits for city planning and management.
Tree Inventories with Mobile Lidar Read More »
This study presents a novel clustering framework for maritime traffic pattern recognition, addressing inefficiencies and interpretability issues in current methods.
Maritime Safety through Clustering 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 »
