1 citations · 1 across the 6 of their papers we have counts for
10 papers
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…
The NetMob26 Dataset: A High-Resolution Multi-Source View of Public Bus Mobility in Niterói
Felipe Domingos, Humberto T. Marques-Neto, Bruno Pereira +3
The NetMob Data Challenge releases a comprehensive public transportation dataset from Niterói, addressing the lack of high-quality mobility and passenger demand data. Based on ope…
Towards Generative Location Awareness for Disaster Response: A Probabilistic Cross-view Geolocalization Approach
Hao Li, Fabian Deuser, Wenping Yin +5
As Earth's climate changes, it is impacting disasters and extreme weather events across the planet. Record-breaking heat waves, drenching rainfalls, extreme wildfires, and widespre…
Open-access model for detecting openly dumped dispersed municipal solid waste from crowdsourced UAV imagery in Sub-Saharan Africa
Steffen Knoblauch, Ram Kumar Muthusamy, Luis M. A. Bettencourt +8
Managing municipal solid waste in rapidly urbanizing Sub-Saharan Africa remains challenging due to dispersed informal dumping and limited high-resolution datasets for spatial monit…
Automated Road Crack Localization for Spatially Guided Highway Maintenance
Steffen Knoblauch, Ram Kumar Muthusamy, Pedram Ghamisi +1
Highway networks are crucial for economic prosperity. Climate change-induced temperature fluctuations are exacerbating stress on road pavements, resulting in elevated maintenance c…
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…