State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Occlusion-Robust Cattle Pose Estimation for Precision Livestock Monitoring Using Hierarchical Locality Refinement

Accurate cattle pose estimation is important for precision livestock farming because body landmarks can provide quantitative visual inputs for potential health monitoring, behavior analysis, lameness assessment, and welfare evaluation. This study focuses on keypoint-localization...

PGMMF-Net: a POI-Guided Multi-modal Mamba Fusion Network for urban impervious surface extraction from optical and SAR imagery

Accurate extraction of urban impervious surfaces (IS) is essential for urban environmental analysis. However, optical-based methods are affected by shadows and spectral confusion, while optical-SAR fusion lacks urban functional semantics. Point-of-interest (POI) data provide comp...

Observation-based analysis of horizontally oriented ice crystals using dual-angle polarization lidar and cloud Doppler radar in Beijing

Abstract. Ice crystal orientation strongly influences cloud radiative properties and remote sensing retrievals, but long-term, high-resolution quantitative observations remain scarce. This study presents comprehensive case studies and statistical analyses of horizontally oriented...

Using earth observation for national high resolution dynamic material stock modelling through time; assessing sand consumption in Malaysia from 1989 to 2020

Abstract Understanding the spatio-temporal dynamics of volumes of construction materials is becoming crucial for environmental sustainability and achieving long-term development goals. Whilst direct data collection is always the preferable option it is not always practical. This...