4 papers
Automated Quality Assessment of Geospatial Vector Data: A GeoAI Approach using Spatial Representation Learning
Hao Li, Chen Chu, Filip Biljecki +2
Geospatial vector data quality is a foundational research topic in GIS, yet classic rule-based quality assessment algorithms often struggle with diverse urban morphologies and mass…
Spatial Representation Learning Beyond Pixels: Unifying Raster Data and Vector Semantics for Human-Centric Geospatial Foundation Models
Steffen Knoblauch, Hao Li, Gengchen Mai +3
Earth Observation (EO) has fundamentally transformed the monitoring of environmental processes and human activities up to planetary scale. Recent advances in self-supervised learni…
Unbox Responsible GeoAI: Navigating Climate Extreme and Disaster Mapping
Hao Li, Steffen Knoblauch
As climate extreme and disaster events become more frequent and intense, Geospatial Artificial Intelligence (GeoAI) has emerged as a transformative approach for large-scale disaste…
Assessing Building Heat Resilience Using UAV and Street-View Imagery with Coupled Global Context Vision Transformer
Steffen Knoblauch, Ram Kumar Muthusamy, Hao Li +4
Climate change is intensifying human heat exposure, particularly in densely built urban centers of the Global South. Low-cost construction materials and high thermal-mass surfaces…