GeoInformation (United Kingdom)

Evaluating Pose Estimation Uncertainty From Automatic Point Cloud Registration in Multi‐Sensor Robotic Systems

ABSTRACT The poses derived from automatic point cloud registration between stationary laser scans that occur naturally in robotic multi‐sensor systems operating in stop‐and‐go mode have the potential to greatly improve and aid localization and trajectory estimation. The uncertain...

High‐Order Projection‐Based Upwind Method for Simulation of Transitional Turbulent Flows

ABSTRACT We present a scalable, high‐order implicit large‐eddy simulation (ILES) approach for incompressible transitional flows. This method employs the mass‐conserving mixed stress (MCS) method for discretizing the Navier‐Stokes equations. The MCS method's low dissipation charac...

Obtaining Scintrex CG6 Gravimeter Scale Factors with an Uncertainty Below $${1\cdot 10}^{-5}$$ in the Zugspitze Gravimeter Calibration System

Abstract Transportable spring gravimeters have many applications besides exploration geophysics and potential field determination, such as time-lapse measurements in hydrology and volcanology. For maximum accuracy, the time-dependent scale factor of each gravimeter must be determ...

Towards intelligent geospatial data discovery: a knowledge graph-driven multi-agent framework powered by large language models

The rapid growth in the volume, variety, and velocity of geospatial data has created data ecosystems that are highly distributed, heterogeneous, and semantically inconsistent. Existing data catalogs, portals, and infrastructures rely largely on keyword-based search with limited s...

The changing surface of the world’s roads

Abstract Resilient road infrastructure is a cornerstone of the UN Sustainable Development Goals (SDGs), yet spatially consistent information on road surface conditions at the global scale remains limited. We overcome this gap based on a deep learning framework that extracts both...

AngleCam V2: Predicting leaf inclination angles across taxa from daytime and nighttime photos

Abstract Understanding how plants capture light and maintain their energy balance is crucial for predicting how ecosystems respond to environmental changes. By monitoring leaf inclination angle distributions (LIADs), we can gain insights into plant behaviour that directly influen...

Deep generative model for human mobility behavior

Understanding and modeling human mobility is central to challenges in transport planning, sustainable urban design, and public health. Despite decades of effort, simulating individual mobility remains challenging because of its complex, context-dependent, and exploratory nature....

Design and Implementation of an AR System for Real-Time Urban Model Editing and Visualization

Abstract. Urban planning increasingly relies on 3D city models and geospatial databases for sustainable development. However, no complete system currently offers immersive 3D visualization of building attributes in augmented reality (AR), bidirectional attribute editing propagate...